I checked 6 multidisciplinary journals on Wednesday, August 27, 2025 using the Crossref API. For the period August 20 to August 26, I found 10 new paper(s) in 5 journal(s).

Nature

GPT-4o mini: Non-social science research article
Engineered yeast provides rare but essential pollen sterols for honeybees
Elynor Moore, Raquel T. de Sousa, Stella Felsinger, Jonathan A. Arnesen, Jane D. DyekjÊr, Dudley I. Farman, Rui F. S. Gonçalves, Philip C. Stevenson, Irina Borodina, Geraldine A. Wright
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Honeybees are important crop pollinators, but they increasingly face pollen starvation as a result of agricultural intensification and climate change 1 . Frequent flowering dearth periods and high-density rearing conditions weaken colonies, which often leads to their demise 2 . Beekeepers provide colonies with pollen substitutes, but these feeds do not sustain brood production because they lack essential sterols found in pollen 3,4 . Here we describe a technological advance in honeybee nutrition with wide-reaching impacts on global food security. We first measured the quantity and proportion of sterols present in honeybee tissues. Using this information, we genetically engineered a strain of the oleaginous yeast Yarrowia lipolytica to produce a mixture of essential sterols for bees and incorporated this yeast strain into an otherwise nutritionally complete diet. Colonies exclusively fed with this diet reared brood for significantly longer than those fed diets without suitable sterols. The use of this method to incorporate sterol supplements into pollen substitutes will enable honeybee colonies to produce brood in the absence of floral pollen. Optimized diets created using this yeast strain could also reduce competition between bee species for access to natural floral resources and stem the decline in wild bee populations.
GPT-4o mini: Non-social science research article
Electrochemical loading enhances deuterium fusion rates in a metal target
Kuo-Yi Chen, Jannis Maiwald, Phil A. Schauer, Sergey Issinski, Fatima H. Garcia, Ryan Oldford, Luca Egoriti, Shota Higashino, Aref E. Vakili, Yunzhou Wen, Joseph Z. X. Koh, Thomas Schenkel, Monika Stolar, Amanda K. Brown, Curtis P. Berlinguette
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Nuclear fusion research for energy applications aims to create conditions that release more energy than required to initiate the fusion process1. To generate meaningful amounts of energy, fuels such as deuterium need to be spatially confined to increase the collision probability of particles2,3,4. We therefore set out to investigate whether electrochemically loading a metal lattice with deuterium fuel could increase the probability of nuclear fusion events. Here we report a benchtop fusion reactor that enabled us to bombard a palladium metal target with deuterium ions. These deuterium ions undergo deuterium–deuterium fusion reactions within the palladium metal. We showed that the in situ electrochemical loading of deuterium into the palladium target resulted in a 15(2)% increase in deuterium–deuterium fusion rates. This experiment shows how the electrochemical loading of a metal target at the electronvolt energy scale can affect nuclear reactions at the megaelectronvolt energy scale.
GPT-4o mini: Non-social science research article
Realization of a doped quantum antiferromagnet in a Rydberg tweezer array
Mu Qiao, Gabriel Emperauger, Cheng Chen, Lukas Homeier, Simon Hollerith, Guillaume Bornet, Romain Martin, Bastien Gély, Lukas Klein, Daniel Barredo, Sebastian Geier, Neng-Chun Chiu, Fabian Grusdt, Annabelle Bohrdt, Thierry Lahaye, Antoine Browaeys
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Doping an antiferromagnetic (AFM) Mott insulator is central to our understanding of a variety of phenomena in strongly correlated electrons, including high-temperature superconductors1,2. To describe the competition between tunnelling t of hole dopants and AFM spin interactions J, theoretical and numerical studies often focus on the paradigmatic t–J model3 and the direct analogue quantum simulation of this model in the relevant regime of high-particle density has long been sought4,5. Here we realize a doped quantum antiferromagnet with next-nearest-neighbour (NNN) tunnellings tâ€Č (refs. 6,7,8,9,10) and hard-core bosonic holes11 using a Rydberg tweezer platform. We use coherent dynamics between three Rydberg levels, encoding spins and holes12, to implement a tunable bosonic t–J–V model allowing us to study previously inaccessible parameter regimes. We observe dynamical phase separation between hole and spin domains for |t/J| â‰Ș 1 and demonstrate the formation of repulsively bound hole pairs in a variety of spin backgrounds. The interference between NNN tunnellings tâ€Č and perturbative pair tunnelling gives rise to light and heavy pairs depending on the sign of t. Using the single-site control allows us to study the dynamics of a single hole in 2D square lattice (anti)ferromagnets. The model we implement extends the toolbox of Rydberg tweezer experiments beyond spin-1/2 models13 to a larger class of t–J and spin-1 models14,15.
GPT-4o mini: Non-social science research article
Cancer-induced nerve injury promotes resistance to anti-PD-1 therapy
Erez N. Baruch, Frederico O. Gleber-Netto, Priyadharsini Nagarajan, Xiayu Rao, Shamima Akhter, Tuany Eichwald, Tongxin Xie, Mohammad Balood, Adebayo Adewale, Shorook Naara, Hinduja N. Sathishkumar, Shajedul Islam, William McCarthy, Brandi J. Mattson, Renata Ferrarotto, Michael K. Wong, Michael A. Davies, Sonali Jindal, Sreyashi Basu, Karine Roversi, Amin Reza Nikpoor, Maryam Ahmadi, Ali Ahmadi, Catherine Harwood, Irene Leigh, Dennis Gong, Paulino Tallón de Lara, Derrick L. Tao, Tara M. Davidson, Nadim J. Ajami, Andrew Futreal, Kunal Rai, Veena Kochat, Micah Castillo, Preethi Gunaratne, Ryan P. Goepfert, Sharia D. Hernandez, Nikhil I. Khushalani, Jing Wang, Stephanie S. Watowich, George A. Calin, Michael R. Migden, Mona Yuan, Naijiang Liu, Yi Ye, William L. Hwang, Paola D. Vermeer, Nisha J. D’Silva, Yuri L. Bunimovich, Dan Yaniv, Jared K. Burks, Javier Gomez, Patrick M. Dougherty, Kenneth Y. Tsai, James P. Allison, Padmanee Sharma, Jennifer A. Wargo, Jeffrey N. Myers, Sebastien Talbot, Neil D. Gross, Moran Amit
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Perineural invasion (PNI) is a well-established factor of poor prognosis in multiple cancer types1, yet its mechanism remains unclear. Here we provide clinical and mechanistic insights into the role of PNI and cancer-induced nerve injury (CINI) in resistance to anti-PD-1 therapy. Our study demonstrates that PNI and CINI of tumour-associated nerves are associated with poor response to anti-PD-1 therapy among patients with cutaneous squamous cell carcinoma, melanoma and gastric cancer. Electron microscopy and electrical conduction analyses reveal that cancer cells degrade the nerve fibre myelin sheets. The injured neurons respond by autonomously initiating IL-6- and type I interferon-mediated inflammation to promote nerve healing and regeneration. As the tumour grows, the CINI burden increases, and its associated inflammation becomes chronic and skews the general immune tone within the tumour microenvironment into a suppressive and exhaustive state. The CINI-driven anti-PD-1 resistance can be reversed by targeting multiple steps in the CINI signalling process: denervating the tumour, conditional knockout of the transcription factor mediating the injury signal within neurons (Atf3), knockout of interferon-α receptor signalling (Ifnar1−/−) or by combining anti-PD-1 and anti-IL-6-receptor blockade. Our findings demonstrate the direct immunoregulatory roles of CINI and its therapeutic potential.
GPT-4o mini: Non-social science research article
SLC45A4 is a pain gene encoding a neuronal polyamine transporter
Steven J. Middleton, Sigurbjörn MarkĂșsson, Mikael Åkerlund, Justin C. Deme, Mandy Tseng, Wenqianglong Li, Sana R. Zuberi, Gabriel Kuteyi, Peter Sarkies, Georgios Baskozos, Jimena Perez-Sanchez, Adham Farah, Harry L. HĂ©bert, Sylvanus Toikumo, Zhanru Yu, Susan Maxwell, Yin Y. Dong, Benedikt M. Kessler, Henry R. Kranzler, John E. Linley, Blair H. Smith, Susan M. Lea, Joanne L. Parker, Valeriya Lyssenko, Simon Newstead, David L. Bennett
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Polyamines are regulatory metabolites with key roles in transcription, translation, cell signalling and autophagy 1 . They are implicated in multiple neurological disorders, including stroke, epilepsy and neurodegeneration, and can regulate neuronal excitability through interactions with ion channels 2 . Polyamines have been linked to pain, showing altered levels in human persistent pain states and modulation of pain behaviour in animal models 3 . However, the systems governing polyamine transport within the nervous system remain unclear. Here, undertaking a genome-wide association study (GWAS) of chronic pain intensity in the UK Biobank (UKB), we found a significant association between pain intensity and variants mapping to the SLC45A4 gene locus. In the mouse nervous system, Slc45a4 expression is enriched in all sensory neuron subtypes within the dorsal root ganglion, including nociceptors. Cell-based assays show that SLC45A4 is a selective plasma membrane polyamine transporter, and the cryo-electron microscopy (cryo-EM) structure reveals a regulatory domain and basis for polyamine recognition. Mice lacking SLC45A4 show normal mechanosensitivity but reduced sensitivity to noxious heat- and algogen-induced tonic pain that is associated with reduced excitability of C-polymodal nociceptors. Our findings therefore establish a role for neuronal polyamine transport in pain perception and identify a target for therapeutic intervention in pain treatment.
GPT-4o mini: Non-social science research article
mAChR4 suppresses liver disease via GAP-induced antimicrobial immunity
Cristina Llorente, Fernanda Raya Tonetti, Ryan Bruellman, Rocío Brea, Nuria Pell, Phillipp Hartmann, Luca Maccioni, Hui Han, Noemí Cabré, Junlai Liu, Alvaro Eguileor, Marcos F. Fondevila, Abraham S. Meijnikman, Cynthia L. Hsu, Ameera Alghafri, Rongrong Zhou, Bei Gao, Yi Duan, Peng Zhang, Mark A. Febbraio, Koji Taniguchi, Rodney D. Newberry, Derrick E. Fouts, David A. Brenner, Peter StÀrkel, Michael Karin, Bernd Schnabl
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Alcohol-use disorder and alcohol-associated liver disease (ALD) are major causes of death and liver transplantation1. The gut–liver axis has a crucial yet poorly understood role in ALD pathogenesis, which depends on microbial translocation. Intestinal goblet cells (GCs) educate the immune system by forming GC-associated antigen passages (GAPs) on activation of muscarinic acetylcholine receptor M4 (mAChR4, also known as M4), enabling sampling of luminal antigens by lamina propria antigen-presenting cells. Here we show that chronic alcohol use in humans and mice downregulates small intestinal mAChR4 and reduces GAP formation, disrupting antimicrobial immunity. This is reversed on activation of intestinal IL-6 signal transducer (IL6ST, also known as glycoprotein 130; gp130), which restores mAChR4 expression and GAP formation, enabling induction of downstream type-3 innate lymphoid cell-derived IL-22 and antimicrobial REG3 proteins. This blunts translocation of enteric bacteria to the liver, thereby conferring ALD resistance. GAP induction by GC-specific mAChR4 activation was essential and sufficient for prevention of ethanol-induced steatohepatitis. These results lay the foundation for a therapeutic approach using mAChR4 or IL6ST agonists to promote GAP formation and prevent ALD by inhibiting microbial translocation.
GPT-4o mini: Non-social science research article
Proximity screening greatly enhances electronic quality of graphene
Daniil Domaretskiy, Zefei Wu, Van Huy Nguyen, Ned Hayward, Ian Babich, Xiao Li, Ekaterina Nguyen, Julien Barrier, Kornelia Indykiewicz, Wendong Wang, Roman V. Gorbachev, Na Xin, Kenji Watanabe, Takashi Taniguchi, Lee Hague, Vladimir I. Fal’ko, Irina V. Grigorieva, Leonid A. Ponomarenko, Alexey I. Berdyugin, Andre K. Geim
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The electronic quality of two-dimensional systems is crucial when exploring quantum transport phenomena. In semiconductor heterostructures, decades of optimization have yielded record-quality two-dimensional gases with transport and quantum mobilities reaching close to 10 8 and 10 6 cm 2 V −1 s −1 , respectively 1–10 . Although the quality of graphene devices has also been improving, it remains comparatively lower 11–17 . Here we report a transformative improvement in the electronic quality of graphene by employing graphite gates placed in its immediate proximity, at 1 nm separation. The resulting screening reduces charge inhomogeneity by two orders of magnitude, bringing it down to a few 10 7 cm −2 and limiting potential fluctuations to less than 1 meV. Quantum mobilities reach 10 7 cm 2 V −1 s −1 , surpassing those in the highest-quality semiconductor heterostructures by an order of magnitude, and the transport mobilities match their record 9,10 . This quality enables Shubnikov–de Haas oscillations in fields as low as 1 mT and quantum Hall plateaux below 5 mT. Although proximity screening predictably suppresses electron–electron interactions, fractional quantum Hall states remain observable with their energy gaps reduced only by a factor of 3–5 compared with unscreened devices, demonstrating that many-body phenomena at spatial scales shorter than 10 nm remain robust. Our results offer a reliable route to improving electronic quality in graphene and other two-dimensional systems, which should facilitate the exploration of new physics previously obscured by disorder.
GPT-4o mini: Non-social science research article
Molecular mechanism of ultrafast transport by plasma membrane Ca2+-ATPases
Deivanayagabarathy Vinayagam, Oleg Sitsel, Uwe Schulte, Cristina E. Constantin, Wout Oosterheert, Daniel Prumbaum, Gerd Zolles, Bernd Fakler, Stefan Raunser
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Tight control of intracellular Ca 2+ levels is fundamental as they are used to control numerous signal transduction pathways 1 . Plasma membrane Ca 2+ -ATPases (PMCAs) have a crucial role in this process by extruding Ca 2+ against a steep concentration gradient from the cytosol to the extracellular space 2 . Although new details of PMCA biology are constantly being uncovered, the structural basis of the most distinguishing features of these pumps, namely, transport rates in the kilohertz range and regulation of activity by the plasma membrane phospholipid PtdIns(4,5)P 2 , has so far remained elusive. Here we present the structures of mouse PMCA2 in the presence and absence of its accessory subunit neuroplastin in eight different stages of its transport cycle. Combined with whole-cell recordings that accurately track PMCA-mediated Ca 2+ extrusion in intact cells, these structures enable us to establish the first comprehensive transport model for a PMCA, reveal the role of disease-causing mutations and uncover the structural underpinnings of regulatory PMCA–phospholipid interaction. The transport cycle-dependent dynamics of PtdIns(4,5)P 2 are fundamental for its role as a ‘latch’ promoting the fast release of Ca 2+ and opening a passageway for counter-ions. These actions are required for maintaining the ultra-fast transport cycle. Moreover, we identify the PtdIns(4,5)P 2 -binding site as an unanticipated target for drug-mediated manipulation of intracellular Ca 2+ levels. Our work provides detailed structural insights into the uniquely fast operation of native PMCA-type Ca 2+ pumps and its control by membrane lipids and drugs.
GPT-4o mini: Non-social science research article
Targeting G1–S-checkpoint-compromised cancers with cyclin A/B RxL inhibitors
Shilpa Singh, Catherine E. Gleason, Min Fang, Yasmin N. Laimon, Vishal Khivansara, Shanhai Xie, Yavuz T. Durmaz, Aniruddha Sarkar, Kenneth Ngo, Varunika Savla, Yixiang Li, Muhannad Abu-Remaileh, Xinyue Li, Marie-Anais Locquet, Bishma Tuladhar, Ranya Odeh, Frances Hamkins-Indik, Daphne He, Miles W. Membreno, Meisam Nosrati, Nathan N. Gushwa, Siegfried S. F. Leung, Breena Fraga-Walton, Luis Hernandez, Miguel P. Baldomero, Bryan M. Lent, David Spellmeyer, Joshua F. Luna, Dalena Hoang, Yuliana Gritsenko, Manesh Chand, Megan K. DeMart, Sammy Metobo, Chinmay Bhatt, Justin A. Shapiro, Kai Yang, Nathan J. Dupper, Andrew T. Bockus, Jinshu Fang, Ramesh Bambal, Peadar Cremin, John G. Doench, James B. Aggen, Li-Fen Liu, Bernard Levin, Evelyn W. Wang, Iolanda Vendrell, Roman Fischer, Benedikt Kessler, Prafulla C. Gokhale, Sabina Signoretti, Alexander Spektor, Constantine Kreatsoulas, Marie Evangelista, Rajinder Singh, David J. Earp, Deepak Nijhawan, Pablo D. Garcia, Matthew G. Oser
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Small-cell lung cancers (SCLCs) contain near-universal loss-of-function mutations in RB1 and TP53, compromising the G1–S checkpoint and leading to dysregulated E2F activity1. Other cancers similarly disrupt the G1–S checkpoint through loss of CDKN2A or amplification of cyclin D or cyclin E, also resulting in excessive E2F activity2,3. Although E2F activation is essential for cell cycle progression, hyperactivation promotes apoptosis4,5,6,7,8,9, presenting a therapeutic vulnerability. Cyclin proteins use a conserved hydrophobic patch to bind to substrates bearing short linear RxL motifs10,11,12,13. Cyclin A represses E2F through an RxL-dependent interaction10,14, which, when disrupted, hyperactivates E2F15. However, this substrate interface has remained difficult to target. Here we developed cell-permeable, orally bioavailable macrocyclic peptides that inhibit RxL-mediated interactions of cyclins with their substrates. Dual inhibitors of cyclin A and cyclin B RxL motifs (cyclin A/Bi) selectively kill SCLC cells and other cancer cells with high E2F activity. Genetic screens revealed that cyclin A/Bi induces apoptosis through cyclin B- and CDK2-dependent spindle assembly checkpoint activation. Mechanistically, cyclin A/Bi hyperactivates E2F and cyclin B by blocking cyclin A–E2F and cyclin B–MYT1 RxL interactions. Notably, cyclin A/Bi promoted the formation of neomorphic cyclin B–CDK2 complexes, which drive spindle assembly checkpoint activation and mitotic cell death. Finally, orally administered cyclin A/Bi showed robust anti-tumour activity in chemotherapy-resistant SCLC patient-derived xenografts. These findings reveal gain-of-function mechanisms through which cyclin A/Bi triggers apoptosis and support their development for E2F-driven cancers.
GPT-4o mini: Non-social science research article
A novel bacterial protein family that catalyses nitrous oxide reduction
Guang He, Weijiao Wang, Gao Chen, Yongchao Xie, Jerry M. Parks, Megan E. Davin, Robert L. Hettich, Konstantinos T. Konstantinidis, Frank E. Löffler
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Nitrous oxide (N2O), a driver of global warming and climate change, has reached unprecedented concentrations in Earth’s atmosphere1. Current N2O sources outpace N2O sinks, emphasizing the need for comprehensive understanding of processes that consume N2O. Microbes that express the enzyme N2O reductase (N2OR) convert N2O to climate change-neutral dinitrogen (N2). Known N2ORs belong to the canonical clade I and clade II NosZ reductases and are considered key enzymes for N2O reduction2,3,4. Here we report a previously unrecognized protein family with a role in N2O reduction, clade III lactonase-type N2OR (L-N2OR), which diverges in sequence from canonical NosZ but conserves three-dimensional protein structural features. Integrated physiological, metagenomic, proteomic and structural modelling studies demonstrate that L-N2ORs catalyse N2O reduction. L-N2OR genes occur in several phyla, predominantly in uncultured taxa with broad geographic distribution. Our findings expand the known diversity of N2ORs and implicate previously unrecognized taxa (for example, Nitrospinota) in N2O consumption. The expansion of N2OR diversity and the identification of a novel type of catalyst for N2O reduction advances the understanding of N2O sinks, has implications for greenhouse gas emission and climate change modelling, and expands opportunities for innovative biotechnologies aimed at curbing N2O emissions5,6.
GPT-4o mini: Non-social science research article
Experimental determination of partial charges with electron diffraction
Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler
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Atomic partial charges, integral to understanding molecular structure, interactions and reactivity, remain an ambiguous concept lacking a precise quantum-mechanical definition 1,2 . The accurate determination of atomic particle charges has far-reaching implications in fields such as chemical synthesis, applied materials science and theoretical chemistry, to name a few 3 . They play essential parts in molecular dynamics simulations, which can act as a computational microscope for chemical processes 4 . Until now, no general experimental method has quantified the partial charges of individual atoms in a chemical compound. Here we introduce an experimental method that assigns partial charges based on crystal structure determination through electron diffraction, applicable to any crystalline compound. Seamlessly integrated into standard electron crystallography workflows, this approach requires no specialized software or advanced expertise. Furthermore, it is not limited to specific classes of compounds. The versatility of this method is demonstrated by its application to a wide array of compounds, including the antibiotic ciprofloxacin, the amino acids histidine and tyrosine, and the inorganic zeolite ZSM-5. We refer to this new concept as ionic scattering factors modelling. It fosters a more comprehensive and precise understanding of molecular structures, providing opportunities for applications across numerous fields in the chemical and materials sciences.
GPT-4o mini: Non-social science research article
A fluorescent-protein spin qubit
Jacob S. Feder, Benjamin S. Soloway, Shreya Verma, Zhi Z. Geng, Shihao Wang, Bethel B. Kifle, Emmeline G. Riendeau, Yeghishe Tsaturyan, Leah R. Weiss, Mouzhe Xie, Jun Huang, Aaron Esser-Kahn, Laura Gagliardi, David D. Awschalom, Peter C. Maurer
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Quantum bits (qubits) are two-level quantum systems that support initialization, readout and coherent control1. Optically addressable spin qubits form the foundation of an emerging generation of nanoscale sensors2,3,4,5,6,7. The engineering of these qubits has mainly focused on solid-state systems. However, fluorescent proteins, rather than exogenous fluorescent probes, have become the gold standard for in vivo microscopy because of their genetic encodability8,9. Although fluorescent proteins possess a metastable triplet state10, they have not been investigated as qubits. Here we realize an optically addressable spin qubit in enhanced yellow fluorescent protein. A near-infrared laser pulse enables triggered readout of the triplet state with up to 20% spin contrast. Using coherent microwave control of the enhanced-yellow-fluorescent-protein spin at liquid-nitrogen temperatures, we measure a (16 ± 2) Όs coherence time under Carr–Purcell–Meiboom–Gill decoupling. We express the qubit in mammalian cells, maintaining contrast and coherent control despite the complex intracellular environment. Finally, we demonstrate optically detected magnetic resonance in bacterial cells at room temperature with contrast up to 8%. Our results introduce fluorescent proteins as a powerful qubit platform that paves the way for applications in the life sciences, such as nanoscale field sensing and spin-based imaging modalities.
GPT-4o mini: Non-social science research article
Author Correction: Disease-associated astrocyte epigenetic memory promotes CNS pathology
Hong-Gyun Lee, Joseph M. Rone, Zhaorong Li, Camilo Faust Akl, Seung Won Shin, Joon-Hyuk Lee, Lucas E. Flausino, Florian Pernin, Chun-Cheih Chao, Kilian L. Kleemann, Lena Srun, Tomer Illouz, Federico Giovannoni, Marc Charabati, Liliana M. Sanmarco, Jessica E. Kenison, Gavin Piester, Stephanie E. J. Zandee, Jack P. Antel, Veit Rothhammer, Michael A. Wheeler, Alexandre Prat, Iain C. Clark, Francisco J. Quintana
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GPT-4o mini: Non-social science research article
Discovery of a widespread chemical signalling pathway in the Bacteroidota
Luis Linares-Otoya, Jaden D. Shirkey, Bhuwan Khatri Chhetri, Amira Mira, Abhishek Biswas, Samuel L. Neff, Maria V. Linares-Otoya, Ye Chen, Julio V. Campos-Florian, Mayar L. Ganoza-Yupanqui, Philip D. Jeffrey, Frederick M. Hughson, Mohamed S. Donia
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Considerable advances have been made in characterizing bioactive molecules secreted by bacteria, yet the regulatory elements controlling their production remain largely understudied. Here we identify and characterize the N-acyl-cyclolysine (ACL) system—a cell-density-dependent chemical signalling system specific to and widespread in the phylum Bacteroidota (formerly Bacteroidetes)—and show that it regulates the expression of co-localized operons encoding diverse secreted molecules. Using genetic and biochemical analyses, combined with structural studies of a key biosynthetic enzyme, AclA, we elucidate the molecular structure of various ACLs and their complete biosynthetic pathway involving l-lysine acylation and ATP-dependent cyclization. Furthermore, we find that secreted ACLs are sensed by a dedicated transcription factor, AclR, resulting in the expression of associated operons and the autoinduction of ACL biosynthesis. Moreover, we show that different Bacteroidota strains produce structurally diverse ACLs and encode transcription factors with varying ligand specificities. Finally, we find that the acl circuit is widely distributed and transcribed in human gut and oral microbiome samples, with clear evidence for an active role in regulating associated operons under host colonization conditions. Understanding the function of the ACL system in different contexts has the potential to reveal details about the biology, ecology and chemistry of the Bacteroidota and how members of this phylum interact with their environments and hosts.
GPT-4o mini: Non-social science research article
A missing enzyme-rescue metabolite as cause of a rare skeletal dysplasia
Jean Jacobs, Hristiana Lyubenova, Sven Potelle, Johannes Kopp, Isabelle Gerin, Wing Lee Chan, Miguel Rodriguez de los Santos, Wiebke HĂŒlsemann, Martin A. Mensah, ValĂ©rie Cormier-Daire, Marieke Joosten, Hennie T. Bruggenwirth, Kyra E. Stuurman, Valancy Miranda, Philippe M. Campeau, Lars Wittler, Julie Graff, Stefan Mundlos, Daniel M. Ibrahim, Emile Van Schaftingen, Björn Fischer-Zirnsak, Uwe Kornak, Nadja Ehmke, Guido T. Bommer
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Living cells depend on an intricate network of chemical reactions catalysed by enzymes, which sometimes make mistakes that lead to their inactivation. Here we report a metabolite-based mechanism for preserving enzyme function in an unfavourable environment. We found that the enzyme TGDS produces UDP-4-keto-6-deoxyglucose, a mimic of the reaction intermediate of the enzyme UXS1, which regenerates the essential cofactor NAD + within the catalytic pocket of UXS1 by completing its catalytic cycle. Thus, the production of an ‘enzyme-rescue metabolite’ by TGDS represents a mechanism for maintaining the activity of an enzyme in a subcellular compartment where NAD + is scarce. Using a combination of in vitro and in vivo studies, we demonstrate that the inability to produce sufficient amounts of this enzyme-rescue metabolite leads to the inactivation of UXS1, impairing the synthesis of specific glycans that are crucial for skeletal development. This provides an explanation for the development of the hereditary skeletal disorder Catel–Manzke syndrome in individuals with TGDS deficiency. Defects in similar protective layers might contribute to metabolic changes in other diseases that cannot be explained with common concepts in metabolic biochemistry.
GPT-4o mini: Non-social science research article
Scalable total synthesis of saxitoxin and related natural products
Yinliang Guo, Yiheng Li, Sihan Chen, Yige Wu, Oscar Poll, Zhouyang Ren, Zhonglin Liu, Roman Vlkolinsky, Michal Bajo, Christopher K. Prier, Kai-Jiong Xiao, Benjamin F. Cravatt, Marisa Roberto, Phil S. Baran
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Saxitoxin (STX, 1), a potent neurotoxin from shellfish, first isolated in 19571, offers immense pharmaceutical potential due to its interaction with voltage-gated sodium channels2, that are ubiquitously present in all excitable cells of the central and periphperal nervous system3. Hundreds of synthetic studies towards this end have been disclosed thus far, yet, a fully modular and scalable approach to the family remains elusive4-12. Thus, here we show how a tactical combination of radical retrosynthesis, biocatalysis, and C–H functionalization logic can be combined to solve this problem resulting in a scalable approach to the STX family in less than 10 steps including the first total synthesis of neosaxitoxin (neoSTX, 4), a hydroxylated naturally occurring STX analog previously under clinical investigation13. The modular nature of the synthesis enables access to diverse analogs, that were previously inaccessible, and now have been evaluated through electrophysiological assays for biological activity.
GPT-4o mini: Non-social science research article
Emerging evidence of abrupt changes in the Antarctic environment
Nerilie J. Abram, Ariaan Purich, Matthew H. England, Felicity S. McCormack, Jan M. Strugnell, Dana M. Bergstrom, Tessa R. Vance, Tobias StÄl, Barbara Wienecke, Petra Heil, Edward W. Doddridge, Jean-Baptiste Sallée, Thomas J. Williams, Anya M. Reading, Andrew Mackintosh, Ronja Reese, Ricarda Winkelmann, Ann Kristin Klose, Philip W. Boyd, Steven L. Chown, Sharon A. Robinson
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Human-caused climate change worsens with every increment of additional warming, although some impacts can develop abruptly. The potential for abrupt changes is far less understood in the Antarctic compared with the Arctic, but evidence is emerging for rapid, interacting and sometimes self-perpetuating changes in the Antarctic environment. A regime shift has reduced Antarctic sea-ice extent far below its natural variability of past centuries, and in some respects is more abrupt, non-linear and potentially irreversible than Arctic sea-ice loss. A marked slowdown in Antarctic Overturning Circulation is expected to intensify this century and may be faster than the anticipated Atlantic Meridional Overturning Circulation slowdown. The tipping point for unstoppable ice loss from the West Antarctic Ice Sheet could be exceeded even under best-case CO2 emission reduction pathways, potentially initiating global tipping cascades. Regime shifts are occurring in Antarctic and Southern Ocean biological systems through habitat transformation or exceedance of physiological thresholds, and compounding breeding failures are increasing extinction risk. Amplifying feedbacks are common between these abrupt changes in the Antarctic environment, and stabilizing Earth’s climate with minimal overshoot of 1.5 °C will be imperative alongside global adaptation measures to minimise and prepare for the far-reaching impacts of Antarctic and Southern Ocean abrupt changes.
GPT-4o mini: Non-social science research article
Thymic epithelial cells amplify epigenetic noise to promote immune tolerance
Noah Gamble, Jason A. Caldwell, Joshua McKeever, Caroline Kaiser, Alexandra Bradu, Peyton J. Dooley, Sandy Klemm, William J. Greenleaf, Narutoshi Hibino, Aaron R. Dinner, Andrew S. Koh
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Cellular plasticity is a principal feature of vertebrate adaptation, tissue repair and tumorigenesis1,2. However, the mechanisms that regulate the stability of somatic cell fates remain unclear. Here, we use the somatic plasticity of thymic epithelial cells, which facilitates the selection of a self-discriminating T cell repertoire3, as a physiological model system to show that fluctuations in background chromatin accessibility in nucleosome-dense regions are amplified during thymic epithelial maturation for the ectopic expression of genes restricted to other specialized cell types. This chromatin destabilization was not dependent on AIRE-induced transcription but was preceded by repression of the tumour suppressor p53. Augmenting p53 activity indirectly stabilized chromatin, inhibited ectopic transcription, limited cellular plasticity and caused multi-organ autoimmunity. Genomic regions with heightened chromatin accessibility noise were selectively enriched for nucleosome-destabilizing polymeric AT tracts and were associated with elevated baseline DNA damage and transcriptional initiation. Taken together, our findings define molecular levers that modulate cell fate integrity and are used by thymic epithelial cells for immunological tolerance.
GPT-4o mini: Non-social science research article
Extremely stripped supernova reveals a silicon and sulfur formation site
Steve Schulze, Avishay Gal-Yam, Luc Dessart, Adam A. Miller, Stan E. Woosley, Yi Yang, Mattia Bulla, Ofer Yaron, Jesper Sollerman, Alexei V. Filippenko, K-Ryan Hinds, Daniel A. Perley, Daichi Tsuna, Ragnhild Lunnan, Nikhil Sarin, SeĂĄn J. Brennan, Thomas G. Brink, Rachel J. Bruch, Ping Chen, Kaustav K. Das, Suhail Dhawan, Claes Fransson, Christoffer Fremling, Anjasha Gangopadhyay, Ido Irani, Anders Jerkstrand, Nikola KneĆŸević, Doron Kushnir, Keiichi Maeda, Kate Maguire, Eran Ofek, Conor M. B. Omand, Yu-Jing Qin, Yashvi Sharma, Tawny Sit, Gokul P. Srinivasaragavan, Nora L. Strothjohann, Yuki Takei, Eli Waxman, Lin Yan, Yuhan Yao, WeiKang Zheng, Erez A. Zimmerman, Eric C. Bellm, Michael W. Coughlin, Frank J. Masci, Josiah Purdum, MickaĂ«l Rigault, Avery Wold, Shrinivas R. Kulkarni
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Stars are initially powered by the fusion of hydrogen to helium. These ashes serve as fuel in a series of stages1,2,3, transforming massive stars into a structure of shells. These are composed of natal hydrogen on the outside and consecutively heavier compositions inside, predicted to be dominated by He, C/O, O/Ne/Mg and O/Si/S (refs. 4,5). Silicon and sulfur are fused into iron, leading to the collapse of the core and either a supernova explosion or the formation of a black hole6,7,8,9. Stripped stars, in which the outer hydrogen layer has been removed and the internal He-rich or even the C/O layer below it is exposed10, provide evidence for this shell structure and the cosmic element production mechanism it reflects. The supernova types that arise from stripped stars embedded in shells of circumstellar material (CSM) confirm this scenario11,12,13,14,15. However, direct evidence for the most interior shells, which are responsible for producing elements heavier than oxygen, is lacking. Here we report the discovery of the supernova (SN) 2021yfj resulting from a star stripped to its O/Si/S-rich layer. We directly observe a thick, massive Si/S-rich shell, expelled by the progenitor shortly before the supernova explosion. Exposing such an inner stellar layer is theoretically challenging and probably requires a rarely observed mass-loss mechanism. This rare supernova event reveals advanced stages of stellar evolution, forming heavier elements, including silicon, sulfur and argon, than those detected on the surface of any known class of massive stars.
GPT-4o mini: Non-social science research article
Network synchrony creates neural filters promoting quiescence in Drosophila
Davide Raccuglia, Raquel SuĂĄrez-Grimalt, Laura Krumm, Anatoli Ender, CĂ©dric B. Brodersen, Sridhar R. Jagannathan, Martin Freire KrĂŒck, NiccolĂČ P. Pampaloni, Carolin Rauch, York Winter, Genevieve Yvon-Durocher, Richard Kempter, Jörg R. P. Geiger, David Owald
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Animals require undisturbed periods of rest during which they undergo recuperative processes1. However, it is unclear how brain states arise that are able to dissociate an animal from its external world, enabling quiescent behaviours, while retaining vigilance to salient sensory cues2. Here we describe a neural mechanism in Drosophila that creates neural filters that engender a brain state that enables quiescent behaviour by generating coherent slow-wave activity (SWA)3 between sleep-need4 (R5)- and locomotion-promoting neural networks5. The coherence of SWA is subject to circadian and homeostatic control and can be modulated by sensory experience. Mimicry of coherent SWA reveals that R5 oscillations reduce responsiveness to visual stimuli by rhythmically associating neural activity of locomotion-promoting cells, effectively overruling their output. These networks can regulate behavioural responsiveness by providing antagonistic inputs to downstream head-direction cells6,7. Thus, coherent oscillations provide the mechanistic basis for a neural filter by temporally associating opposing signals, resulting in reduced functional connectivity between locomotion-gating and navigational networks. We propose that the temporal pattern of SWA provides the structure to create a ‘breakable’ filter, permitting the animal to enter a quiescent state, while providing the architecture for strong or salient stimuli to ‘break’ the neural interaction, consequently allowing the animal to react.
GPT-4o mini: Non-social science research article
TCF1 and LEF1 promote B-1a cell homeostasis and regulatory function
Qian Shen, Hao Wang, Jonathan A. Roco, Xiangpeng Meng, Marita Bosticardo, Marie Hodges, Michael Battaglia, Zhi-Ping Feng, Benjamin James Talks, Jason Powell, Vijaya Baskar Mahalingam Shanmugiah, Julia Chu, Najib M. Rahman, Alguili Elsheikh, Probir Chakravarty, Amalie Grenov, Max Emmerich, Ottavia M. Delmonte, Alexandra F. Freeman, Michael D. Keller, Brahim Belaid, Ilenia Papa, James C. Lee, Pablo F. Cañete, Paula Gonzalez-Figueroa, Yaoyuan Zhang, Hai-Hui Xue, Samra Turajlic, Luigi D. Notarangelo, Muzlifah Haniffa, Lee Ann Garrett-Sinha, Helen M. Parry, Nikolaos I. Kanellakis, Carola G. Vinuesa
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B-1 cells are innate-like immune cells abundant in serosal cavities with antibodies enriched in bacterial recognition, yet their existence in humans has been controversial 1–3 . The CD5 + B-1a subset expresses anti-inflammatory molecules including IL-10, PDL1 and CTLA4 and can be immunoregulatory 4–6 . Unlike conventional B cells that are continuously replenished, B-1a cells are produced early in life and maintained through self-renewal 7 . Here we show that the transcription factors TCF1 and LEF1 are critical regulators of B-1a cells. LEF1 expression is highest in fetal and bone marrow B-1 progenitors, whereas the levels of TCF1 are higher in splenic and peritoneal B-1 cells than in B-1 progenitors. TCF1–LEF1 double deficient mice have reduced B-1a cells and defective B-1a cell maintenance. These transcription factors promote MYC-dependent metabolic pathways and induce a stem-like population upon activation, partly via IL-10 production. In the absence of TCF1 and LEF1, B-1 cells proliferate excessively and acquire an exhausted phenotype with reduced IL-10 and PDL1 expression. Furthermore, adoptive transfer of B-1 cells lacking TCF1 and LEF1 fails to suppress brain inflammation. These transcription factors are also expressed in human chronic lymphocytic leukaemia B cells and in a B-1-like population that is abundant in pleural fluid and circulation of some patients with pleural infection. Our findings define a TCF1–LEF1-driven transcriptional program that integrates stemness and regulatory function in B-1a cells.
GPT-4o mini: Non-social science research article
STING induces ZBP1-mediated necroptosis independently of TNFR1 and FADD
Konstantinos Kelepouras, Julia Saggau, Debora Bonasera, Christine Kiefer, Federica Locci, Hassan Rakhsh-Khorshid, Louisa Grauvogel, Ana Beatriz Varanda, Martin Peifer, Elena Loricchio, Antonella Montinaro, Marijana Croon, Aleksandra Trifunovic, Giusi Prencipe, Antonella Insalaco, Fabrizio De Benedetti, Henning Walczak, Gianmaria Liccardi
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Conditional deletion of Caspase-8 in epidermal keratinocytes (Casp8E-KO) causes necroptosis-driven lethal dermatitis1-7. Here, we discover that Casp8 loss leads to accumulation of cytosolic DNA responsible for the activation of a cyclic-GMP-AMP synthase (cGAS)/stimulator of interferon (IFN) gene (STING)-mediated transcriptional program. Genetic and biochemical evidence indicate that STING upregulates both Z-DNA binding protein-1 (ZBP1), and mixed lineage kinase domain-like (MLKL). Combined Casp8-deficiency- and STING-activation-driven accumulation of Z-nuclei acids, activates ZBP1 and triggers formation of a ZBP1–RIPK1–RIPK3 complex independently of FADD-RIPK1-RIPK3 complex enabling necroptosis execution. Genetically, we reveal a functional overlap between STING and ZBP1 as drivers of lethal dermatitis independently of TNFR1, uncovering a novel aetiology of necroptotic inflammation. Since gain-of-function mutations in human STING cause STING-Associated Vasculopathy with onset in Infancy (SAVI), we assessed the role of STING-induced necroptosis in SAVI’s aetiology. Chronic activation of STING in patients orchestrates a necroptotic transcriptional program which is confirmed in the N153S-SAVI preclinical mouse model where immune cell–driven pathology and lethality are remarkably rescued by RIPK3 co-deletion. These findings establish STING-driven ZBP1-mediated necroptosis as a central pathogenic mechanism in both Casp8-deficient inflammation and SAVI and suggest that targeting the ZBP1-RIPK3-MLKL axis holds therapeutic potential for interferonopathies characterised by excessive necroptosis.
GPT-4o mini: Non-social science research article
Publisher Correction: Multiple oestradiol functions inhibit ferroptosis and acute kidney injury
Wulf Tonnus, Francesca Maremonti, Shubhangi Gavali, Marlena Nastassja Schlecht, Florian Gembardt, Alexia Belavgeni, Nadja Leinung, Karolin Flade, Natalie Bethe, Sofia Traikov, Anne Haag, Danny Schilling, Sider Penkov, Melodie Mallais, Christine Gaillet, Claudia Meyer, Melika Katebi, Anushka Ray, Louisa M. S. Gerhardt, Anne Brucker, Jorunn Naila Becker, Mirela Tmava, Lisa Schlicker, Almut Schulze, Nina Himmerkus, Andrej Shevchenko, Mirko Peitzsch, Uladzimir Barayeu, Sonia Nasi, Juliane Putz, Kenneth S. Korach, Joel Neugarten, Ladan Golestaneh, Christian Hugo, Jan Ulrich Becker, Joel M. Weinberg, Svenja Lorenz, Bettina Proneth, Marcus Conrad, Eckhard Wolf, Bernd Plietker, Raphaël Rodriguez, Derek A. Pratt, Tobias P. Dick, Maria Fedorova, Stefan R. Bornstein, Andreas Linkermann
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GPT-4o mini: Non-social science research article
Quantitative imaging of lipid transport in mammalian cells
Juan M. Iglesias-Artola, Kristin Böhlig, Kai Schuhmann, Katelyn C. Cook, H. Mathilda Lennartz, Milena Schuhmacher, Pavel Barahtjan, Cristina Jiménez López, Radek Ơachl, Vannuruswamy Garikapati, Karina Pombo-Garcia, Annett Lohmann, Petra Riegerovå, Martin Hof, Björn Drobot, Andrej Shevchenko, Alf Honigmann, André Nadler
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Eukaryotic cells produce over 1,000 different lipid species that tune organelle membrane properties, control signalling and store energy 1,2 . How lipid species are selectively sorted between organelles to maintain specific membrane identities is largely unclear, owing to the difficulty of imaging lipid transport in cells 3 . Here we measured the retrograde transport and metabolism of individual lipid species in mammalian cells using time-resolved fluorescence imaging of bifunctional lipid probes in combination with ultra-high-resolution mass spectrometry and mathematical modelling. Quantification of lipid flux between organelles revealed that directional, non-vesicular lipid transport is responsible for fast, species-selective lipid sorting, in contrast to the slow, unspecific vesicular membrane trafficking. Using genetic perturbations, we found that coupling between energy-dependent lipid flipping and non-vesicular transport is a mechanism for directional lipid transport. Comparison of metabolic conversion and transport rates showed that non-vesicular transport dominates the organelle distribution of lipids, while species-specific phospholipid metabolism controls neutral lipid accumulation. Our results provide the first quantitative map of retrograde lipid flux in cells 4 . We anticipate that our pipeline for mapping of lipid flux through physical and chemical space in cells will boost our understanding of lipids in cell biology and disease.
GPT-4o mini: Non-social science research article
Electron flow matching for generative reaction mechanism prediction
Joonyoung F. Joung, Mun Hong Fong, Nicholas Casetti, Jordan P. Liles, Ne S. Dassanayake, Connor W. Coley
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Central to our understanding of chemical reactivity is the principle of mass conservation1, which is fundamental for ensuring physical consistency, balancing equations and guiding reaction design. However, data-driven computational models2,3,4,5,6,7,8,9 for tasks such as reaction product prediction rarely abide by this most basic constraint10,11,12,13. Here we recast the problem of reaction prediction as a problem of electron redistribution using the modern deep generative framework of flow matching14,15,16, explicitly conserving both mass and electrons through the bond-electron (BE) matrix representation17,18. Our model, FlowER, overcomes limitations inherent in previous approaches by enforcing exact mass conservation, resolving hallucinatory failure modes, recovering mechanistic reaction sequences for unseen substrate scaffolds and generalizing effectively to out-of-domain reaction classes with extremely data-efficient fine-tuning. FlowER also enables downstream estimation of thermodynamic or kinetic feasibility and manifests a degree of chemical intuition in reaction prediction tasks. This inherently interpretable framework represents an important step in bridging the gap between predictive accuracy and mechanistic understanding in data-driven reaction outcome prediction.
GPT-4o mini: Non-social science research article
Axonal injury is a targetable driver of glioblastoma progression
Melanie Clements, Wenhao Tang, Zan Florjanic Baronik, Holly Simpson Ragdale, Roger Oria, Dimitrios Volteras, Ian J. White, Gordon Beattie, Imran Uddin, Tchern Lenn, Rachel Lindsay, Sara Castro Devesa, Saketh R. Karamched, Mark F. Lythgoe, Vahid Shahrezaei, Valerie M. Weaver, Ryoichi Sugisawa, Federico Roncaroli, Samuel Marguerat, Ciaran S. Hill, Simona Parrinello
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Glioblastoma (GBM) is an aggressive and highly therapy-resistant brain tumour 1,2 . Although advanced disease has been intensely investigated, the mechanisms that underpin the earlier, likely more tractable, stages of GBM development remain poorly understood. Here we identify axonal injury as a key driver of GBM progression, which we find is induced in white matter by early tumour cells preferentially expanding in this region. Mechanistically, axonal injury promotes gliomagenesis by triggering Wallerian degeneration, a targetable active programme of axonal death 3 , which we show increases neuroinflammation and tumour proliferation. Inactivation of SARM1, the key enzyme activated in response to injury that mediates Wallerian degeneration 4 , was sufficient to break this tumour-promoting feedforward loop, leading to the development of less advanced terminal tumours and prolonged survival in mice. Thus, targeting the tumour-induced injury microenvironment may supress progression from latent to advanced disease, thereby providing a potential strategy for GBM interception and control.
GPT-4o mini: Non-social science research article
Author Correction: Complex genetic variation in nearly complete human genomes
Glennis A. Logsdon, Peter Ebert, Peter A. Audano, Mark Loftus, David Porubsky, Jana Ebler, Feyza Yilmaz, Pille Hallast, Timofey Prodanov, DongAhn Yoo, Carolyn A. Paisie, William T. Harvey, Xuefang Zhao, Gianni V. Martino, Mir Henglin, Katherine M. Munson, Keon Rabbani, Chen-Shan Chin, Bida Gu, Hufsah Ashraf, Stephan Scholz, Olanrewaju Austine-Orimoloye, Parithi Balachandran, Marc Jan Bonder, Haoyu Cheng, Zechen Chong, Jonathan Crabtree, Mark Gerstein, Lisbeth A. Guethlein, Patrick Hasenfeld, Glenn Hickey, Kendra Hoekzema, Sarah E. Hunt, Matthew Jensen, Yunzhe Jiang, Sergey Koren, Youngjun Kwon, Chong Li, Heng Li, Jiaqi Li, Paul J. Norman, Keisuke K. Oshima, Benedict Paten, Adam M. Phillippy, Nicholas R. Pollock, Tobias Rausch, Mikko Rautiainen, Yuwei Song, Arda Söylev, Arvis Sulovari, Likhitha Surapaneni, Vasiliki Tsapalou, Weichen Zhou, Ying Zhou, Qihui Zhu, Michael C. Zody, Ryan E. Mills, Scott E. Devine, Xinghua Shi, Michael E. Talkowski, Mark J. P. Chaisson, Alexander T. Dilthey, Miriam K. Konkel, Jan O. Korbel, Charles Lee, Christine R. Beck, Evan E. Eichler, Tobias Marschall
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GPT-4o mini: Non-social science research article
Author Correction: Macrophages excite muscle spindles with glutamate to bolster locomotion
Yuyang Yan, Nuria Antolin, Luming Zhou, Luyang Xu, Irene Lisa Vargas, Carlos Daniel Gomez, Guiping Kong, Ilaria Palmisano, Yi Yang, Jessica Chadwick, Franziska MĂŒller, Anthony M. J. Bull, Cristina Lo Celso, Guido Primiano, Serenella Servidei, Jean François Perrier, Carmelo Bellardita, Simone Di Giovanni
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GPT-4o mini: Non-social science research article
Atomic dynamics of gas-dependent oxide reducibility
Xiaobo Chen, Jianyu Wang, Shyam Bharatkumar Patel, Shuonan Ye, Yupeng Wu, Zhikang Zhou, Linna Qiao, Yuxi Wang, Nebojsa Marinkovic, Meng Li, Sooyeon Hwang, Dmitri N. Zakharov, Lu Ma, Qin Wu, Jorge Anibal Boscoboinik, Judith C. Yang, Guangwen Zhou
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Understanding oxide reduction is critical for advancing metal production1,2, catalysis3,4 and energy technologies5. Although carbon monoxide (CO) and hydrogen (H2) are widely used reductants, the mechanisms by which they work are often presumed to be similar, both involving lattice oxygen removal6,7,8,9. However, because of growing interest in replacing CO with H2 to lower CO2 emissions, distinguishing gas-specific reduction pathways is critical. Yet, capturing these atomic-scale processes under reactive gas and high-temperature conditions remains challenging. Here we use environmental transmission electron microscopy, which is capable of real-time, atomic-resolution imaging of gas–solid redox reactions10,11,12,13,14,15,16, to directly visualize the gas-dependent oxide reduction dynamics in NiO. We show that CO drives surface nucleation and the growth of metallic Ni islands, leading to self-limiting surface metallization. Conversely, H2 activates a coupled surface-to-bulk transformation, where protons from dissociated H2 infiltrate the oxide lattice to promote the inward migration of surface-generated oxygen vacancies and enabling bulk metallization. By contrast, oxygen vacancies formed by CO remain confined near the surface, where they rapidly form a metallic Ni layer that inhibits further reduction. These results reveal distinct atomistic pathways for CO and H2 and provide insights that may guide metallurgical processes and catalyst design.
GPT-4o mini: Non-social science research article
Structural basis for the dynamic regulation of mTORC1 by amino acids
Max L. Valenstein, Maximilian Wranik, Pranav V. Lalgudi, Karen Y. Linde-Garelli, Yuri Choi, Raghu R. Chivukula, David M. Sabatini, Kacper B. Rogala
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The mechanistic target of rapamycin complex 1 (mTORC1) anchors a conserved signalling pathway that regulates growth in response to nutrient availability1,2,3,4,5. Amino acids activate mTORC1 through the Rag GTPases, which are regulated by GATOR, a supercomplex consisting of GATOR1, KICSTOR and the nutrient-sensing hub GATOR2 (refs. 6,7,8,9). GATOR2 forms an octagonal cage, with its distinct WD40 domain ÎČ-propellers interacting with GATOR1 and the leucine sensors Sestrin1 and Sestrin2 (SESN1 and SESN2) and the arginine sensor CASTOR1 (ref. 10). The mechanisms through which these sensors regulate GATOR2 and how they detach from it upon binding their cognate amino acids remain unknown. Here, using cryo-electron microscopy, we determined the structures of a stabilized GATOR2 bound to either Sestrin2 or CASTOR1. The sensors occupy distinct and non-overlapping binding sites, disruption of which selectively impairs the ability of mTORC1 to sense individual amino acids. We also resolved the apo (leucine-free) structure of Sestrin2 and characterized the amino acid-induced structural rearrangements within Sestrin2 and CASTOR1 that trigger their dissociation from GATOR2. Binding of either sensor restricts the dynamic WDR24 ÎČ-propeller of GATOR2, a domain essential for nutrient-dependent mTORC1 activation. These findings reveal the allosteric mechanisms that convey amino acid sufficiency to GATOR2 and the ensuing structural changes that lead to mTORC1 activation.
GPT-4o mini: Non-social science research article
Flat-panel laser displays through large-scale photonic integrated circuits
Zhujun Shi, Risheng Cheng, Guohua Wei, Steven A. Hickman, Min Chul Shin, Peter Topalian, Lei Wang, Dusan Coso, Youmin Wang, Qingjun Wang, Brian Le, Lizzy Lee, Daniel Lopez, Yuhang Wu, Sean Braxton, Alexander Koshelev, Maxwell F. Parsons, Rahul Agarwal, Barry Silverstein, Yun Wang, Giuseppe Calafiore
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Laser-based displays are highly sought after for their superior brightness and colour performance1, especially in advanced applications such as augmented reality (AR)2. However, their broader use has been hindered by bulky projector designs and complex optical module assemblies3. Here we introduce a laser display architecture enabled by large-scale visible photonic integrated circuits (PICs)4,5,6,7 to address these challenges. Unlike previous projector-style laser displays, this architecture features an ultra-thin, flat-panel form factor, replacing bulky free-space illumination modules with a single, high-performance photonic chip. Centimetre-scale PIC devices, which integrate thousands of distinct optical components on-chip, are carefully tailored to achieve high display uniformity, contrast and efficiency. We demonstrate a 2-mm-thick flat-panel laser display combining the PIC with a liquid-crystal-on-silicon (LCoS) panel8,9, achieving 211% of the colour gamut and more than 80% volume reduction compared with traditional LCoS displays. We further showcase its application in a see-through AR system. Our work represents an advancement in the integration of nanophotonics with display technologies, enabling a range of new display concepts, from high-performance immersive displays to slim-panel 3D holography.
Nature DOI suffix ≠ "/s...": Not a research article
Einstein hated entanglement — and five other quantum myths
Maria Violaris, Estelle Inack, Sabine Hossenfelder, Norma G. Sanchez, Shweta Agrawal, Emily Adlam
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Quantum mechanics is unquestionably a robust and successful theory — so far, all its predictions have held, and scientists can build powerful technologies based on it. Yet, understanding what it tells us about the nature of reality and how we experience it has proven tricky. Physicists and philosophers have been grappling with it for a century, ironing out some of the early ambiguities, but some conceptual problems remain. And the non-intuitive nature of quantum physics makes it fertile ground for misunderstandings. Here, six physicists explore the origins of widespread myths about quantum history, theory and applications. MARIA VIOLARIS: Has quantum physics made time travel possible? If you’ve been following quantum-science announcements in the past few years, you might think that experiments have managed to send quantum particles back in time. But despite intriguing theoretical proposals and experimental studies, that has not been achieved (yet). The idea relies on exploiting quantum ‘time loops’ — hypothetical twists in space-time that allow a particle, or anything else, to come out of the loop at an earlier time than when it went in. These loops could exist in the Universe, for example through tunnels in the fabric of space-time. A century of quantum physics The recent proposals were based on quantum teleportation of qubits, in which the state of a qubit is transported from one location to another, without physically moving between them. This can be done by using an entangled pair of qubits, one at each location. However, to avoid violating core principles, such as no faster-than-light communication, quantum teleportation can be successful at most only one-quarter of the time. For the remainder, the receiver needs to correct its teleported qubit using information from the sender. But researchers are looking into an alternative approach, in which they discard these failed cases, keeping only the successful one-quarter. This selective version of teleportation has been proposed as a model for a quantum universe that allows time travel. Such a Universe could have laws of physics that automatically discard any paradoxical outcome arising from something changing the past. By following a similar protocol, but instead manually discarding certain measurement outcomes, researchers have achieved a quantum advantage in the field of metrology (the science of making precise measurements). The experimental results look identical to those that would come from a real time loop, but the behaviour has been engineered from quantum entanglement. So, no one has really sent a particle to the past quite yet. But the general theory of relativity allows for time travel — and quantum models give promising ways to resolve its paradoxes. Quantum mechanics therefore could yet make time travel possible — but I’d need to read a paper sent back from the future to be sure. ESTELLE INACK: Can quantum computers guarantee speedier calculations? The promise of quantum computers and their abilities to solve a host of intensive computational problems — from how the quantum behaviour of electrons affects chemical reactions to optimizing routes in logistics — has spurred a booming industry that is attracting billions of dollars of investor cash. As excitement has grown, so has a misunderstanding about how quantum computers work, why they are potentially so powerful and fast at making calculations and what their limitations might be. It’s one thing to have a quantum computer, but another to extract the right answer for a complex calculation out of it. And it won’t simply speed up every existing application — we are not likely to need ‘quantum Word’ or ‘quantum Zoom’. Instead, they are promising tools for exploring very complex systems. Quantum devices are sometimes said to offer power and speed by relying on quantum bits (qubits) that are both 0 and 1 at the same time; by contrast, classical bits are either 0 or 1. This is misleading. What happens instead is that a qubit exists in a superposition of 0 and 1 classical states. And each time a measurement is taken, it has a probability of being measured as either 0 or 1. Could the Universe be a giant quantum computer? When putting many qubits together, say N of them, to form a quantum computer, their quantum superposition spans the same mathematical space as 2N classical bits; this is often referred to as quantum parallelism with exponential speed-up. When a quantum computation is performed, the system outputs one single state from those 2N possible ones. The computation must be repeated many times (although fewer than 2N times, which would be impossible when N is large) to build a probabilistic picture of the system: the outcome with the highest probability gives you the correct answer. This overhead could reduce the advantages of quantum computers over classical computers. Algorithms that increase the probability of obtaining the correct (most likely) outcomes from each calculation are crucial. Another limitation of quantum computers is that quantum states are very fragile and need to be protected from interactions with their environment, which can disrupt them. Researchers are exploring clever ways to do this through error-mitigating algorithms. Thus, quantum computers are indeed powerful machines that rely on quantum superposition and parallelism — but innovations in algorithms, hardware and software are also needed to harness their full potential. SABINE HOSSENFELDER: Did Einstein reject the idea of entanglement? You might have heard that what Albert Einstein referred to as ‘spooky action at a distance’ is technically known as ‘entanglement’, and that he insisted that entanglement couldn’t exist. Neither is true. The ‘spooky action’ quote is a direct translation of the German phrase spukhafte Fernwirkung, which Einstein wrote in a 1947 letter to fellow physicist Max Born. He was referring to an idea that had long intrigued him — how to interpret the measurement process in quantum mechanics, which he had earlier described as relying on a “peculiar mechanism of action at a distance” (G. Bacciagaluppi and A. Valentini Preprint at arXiv https://doi.org/p2ns; 2006). Mathematically, the measurement process in quantum mechanics is instantaneous. Say you want to measure the position of a particle. Before you do so, the equations allow the particle to be in several places at the same time. Observe or measure it, however, and suddenly it is in only one place. Don’t believe the hype — quantum tech can’t yet solve real-world problems This issue of reality apparently suddenly materializing out of uncertainty when you observe it is known as the measurement problem. The update happens faster than light, seemingly violating Einstein’s special theory of relativity, which says that no signal can exceed light speed. Of course, Einstein didn’t like it. That is why, together with physicists Boris Podolsky and Nathan Rosen, Einstein argued in 1935 that quantum mechanics must be an “incomplete” theory (A. Einstein et al. Phys. Rev. 47, 777; 1935), in which measurement is just a probabilistic description of an underlying physical reality. That same year, Erwin Schrödinger coined the term ‘entanglement’ to describe a correlation between two or more objects about which one has incomplete knowledge. You could, for example, have two particles, one on the left and one on the right, that can each have a state (usually physicists consider the property of ‘spin’, but it could be something else, such as momentum) of either +1 or –1, and both values must add up to 0. So, either the left particle has spin –1 and the one on the right spin +1, or the other way around. In an experiment, you can flip the spin of one particle, say the left one, even without knowing what it is. If it was –1, it is now +1; if it was +1, it is now –1. If you do that, what happens to the particle on the right side? Nothing. The other particle itself has not changed, and the two particles are still entangled — just the correlation between them has changed. You have changed an entangled system into a different, also entangled system. There is no ‘spooky action’ in entanglement, no exchange of information that is faster than the speed of light. I think the reason why even some physicists get this mixed up is that in their 1935 paper, Einstein, Podolsky and Rosen used what we now call ‘entangled particles’ to illustrate the problem with the instantaneous update of a system on measurement. The two concepts — measurement and entanglement — became entangled, so to speak. Einstein never claimed that entanglement, or quantum physics itself, is wrong. What he did was question the physical interpretation of the measurement: that a quantum system seems to exist in several possible superposed states but updates to a different state as soon as you observe it. That is an issue that still hasn’t been resolved. Illustration: Sandro Rybak NORMA SANCHEZ: Is general relativity irreconcilable with quantum physics? Physicists have devised two grand theories to understand reality. The general theory of relativity dominates how things happen at large scales, such as across the cosmos. Quantum mechanics, meanwhile, covers atom-sized forces or smaller. Many physicists quibble that they might never be reconciled — although we have no real indication that it is not possible. In the past few years, progress and the potential for new observations, such as those of gravitational waves, gives me hope that we won’t need a completely new theory to encompass both. In their current form, these theories produce pictures that are completely at odds with each other, impractical or unintelligible. Gravity, for example, is well explained by the general theory of relativity as a curvature of space-time in the presence of massive bodies. But because this formalism considers particles to have non-zero mass concentrated to a single point (with zero volume), following it at subatomic scales would make gravity infinite, which makes no sense. The ‘quantum’ principle that says why atoms are as they are There have been many attempts to reconcile the two frameworks. One is string theory — in which particles and forces arise from the vibrations of tiny one-dimensional ‘strings’. But this theory has run into problems: it does not explain the observed expansion of the Universe, or its structure, and no direct experiments have supported it. Other approaches that start with classical gravity and try to ‘quantize’ it have not succeeded either.
Nature DOI suffix ≠ "/s...": Not a research article
Label political AI and audit its hidden costs
Andres Hernandez-Serna
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Generative artificial intelligence (AI) technologies are already shaping political persuasion: systems that mimic emotion craft messages at scale and target voters with precision. Yet, citizens seldom know when a machine is speaking to them, and regulators remain behind the curve (Nature https://doi.org/g9pwv8; 2025). Three blind spots need urgent correction.
Nature DOI suffix ≠ "/s...": Not a research article
Time’s arrow
John Frizell
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Forget all the nonsense you heard about time travel. You can’t go back and kill your grandfather. The past has already happened. Everything is linked, each event underpins the next, everything is determined; you can’t do anything to break those links. Try, and you enter a forbidden state. Your body won’t obey your will. Attempting to hurt locals usually puts you in a forbidden state but not always. I guess some people just have no role in history. Doesn’t work both ways, though. Chrononauts aren’t part of the past. Locals can kill us without affecting anything. The people I’m observing are tolerant of strangers and travellers, rarely killing them out of hand the way some communities do, but there are exceptions. So, I’m well disguised. My camera and recording gear are invisible even to a close examination. My poorly tanned leather clothing reeks so badly I was thrown off public transport on my way to get to the transmission station and had to ride in a taxi with the windows open, paying double fare, to get to my slot in time. After I applied a last-minute dash of odorant, the technicians at the transmission station were breathing through cupped hands. At least it stopped them bitching about payment. They don’t like us travelling on credit. If we get killed, they might not get paid. I’m stiff and cold from a night on the ground under a thin blanket, but looking forward to my third and final day down Arrow. I’ve got easily enough video to fill my contract for a half-hour feature, which means I can pay off the transmission cost and cover my rent for another two months. With a bit more material, I can make a freelance piece and market it independently, showcasing my skills and giving me a chance to get off the Arrow and into production. Read more science fiction from Nature Futures I drape my shoulder bag and set off for the morning market, a collection of flat boulders and improvised tables on the edge of a cluster of low, single-room huts made of bush wood and clay. Even after two days down Arrow, the smells of rancid fat and rotten food in the market are overwhelming. A nearby open latrine adds to the mix. The footing is treacherous. There are holes and mounds of earth everywhere. Why haven’t the locals eaten these burrowing rodents? Superstition? Religion? I take establishing shots showing the burrows’ proximity to structures and close-ups of the holes. Academics pay for this sort of stuff, especially if it disproves someone else’s long-held theory. Into the market, and I pan the hidden camera to take in filthy dry-stone walls and clouds of flies swarming around raw meat. I’ve been living on food bars and water surreptitiously micro filtered in what looks like a leather water pouch. A rat scampers by. Someone throws a rock at it. All good stuff. The yuck factor sells. I turn the corner and come face-to-face with a couple. The woman steps behind the man, as is the custom, and gawks at me. The man could be my down-on-his-luck twin. His worn leather is greasy, his arms thin, his cheeks sunken and hollow but his skin is the same light brown as mine. The face framed in roughly chopped hair is mine, too. It’s like looking into a mirror but we are thousands of years down Arrow from mirrors. It’s pure cinematic gold. This could make a cameo. But how will I talk to him? In my role as a traveller, I know just enough basic pidgin to get by. An interview is beyond me. “Greetings,” I say and extend both hands at waist height and open in the ‘no weapons’ gesture. He stares at my face without even glancing at my hands. He looks as shocked as if I were lunging at him and takes a step backwards. One foot goes into a burrow, the other comes down on a loose round stone and he goes over backwards, arms flailing, incredulous eyes still locked on my face. His head hits a protruding rock with a sound like a pumpkin dropped on concrete. His body convulses for seconds then goes still. He stops breathing. So much for my cameo. People are rushing in from all sides, encircling me. Time to leave. The woman glances down at the corpse then steps forward and speaks softly. I pick out the words ‘mine’ and ‘you’. Does she want me to be his replacement? No, thank you. I go to press the button for emergency recall. They’ll see me vanish, of course, but that story will merge with all their other stories of ghosts and miracles. Nothing will resonate down history to the future. It’s been done dozens of times.
Nature DOI suffix ≠ "/s...": Not a research article
RFK Jr demanded a vaccine study be retracted — the journal said no
Rachel Fieldhouse
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Robert F. Kennedy Jr wants a study about vaccines retracted.Credit: Tom Williams/CQ Roll Call/Sipa US via Alamy US health secretary and vaccine sceptic Robert F. Kennedy Jr has called for the retraction of a Danish study that found no link between aluminium in vaccines and chronic diseases in children — a rare move for a US public official. Aluminium has been used for almost a century to enhance the immune system’s response to some vaccines. But some people claim the ingredient is linked to rising rates of childhood disorders such as autism. Public-health officials in Kennedy’s position rarely request that studies be retracted, says Ivan Oransky, a specialist in academic publishing and co-founder of the media organization Retraction Watch. Through this request, “Secretary Kennedy has demonstrated that he wants the scientific literature to bend to his will”, says Oransky. The study1 in question, published in Annals of Internal Medicine in July, is one of the largest of its kind, looking at 1.2 million children born over more than two decades in Denmark. The authors reported that no significant risk of developing autoimmune, allergic or neurodevelopmental disorders was associated with exposure to aluminium compounds in vaccines. In an opinion piece published on TrialSite News on 1 August, Kennedy called into question the study’s methodology, analysis and results. Since his appointment as head of the US Department of Health and Human Services, Kennedy has bypassed normal scientific review processes to change vaccine recommendations and terminated grants for projects on mRNA vaccines. Annals of Internal Medicine says it stands by the study and has no plans to retract it. Christine Laine, editor in chief for the journal, wrote in a comment on the study’s web page on 11 August that “retraction is warranted only when serious errors invalidate findings or there is documented scientific misconduct, neither of which occurred here”. The Department of Health and Human Services said that Kennedy’s article spoke for itself, and that the department did not have any further comment in response to Nature’s questions about Kennedy's request for a retraction. Widely used Aluminium, in the form of salts, such as potassium aluminium sulfate, have been administered in vaccines — for diseases ranging from whooping cough to pneumonia — to millions of people worldwide, and the vaccines have been widely studied for safety issues2,3. Gary Grohmann, an independent virologist in Canberra, says there is no evidence of significant side effects caused by the small amount of aluminium in vaccines. But in 2011, a study4 published in the Journal of Inorganic Biochemistry claimed to show a causal relationship between rising autism diagnoses in children and increased exposure to aluminium-containing vaccines. In 2012, the World Health Organization’s Global Advisory Committee on Vaccine Safety said the study and another by the same authors were “seriously flawed” because they used inappropriate study designs, incorrect assumptions and questionable data. Since then, Grohmann says, the claim that aluminium in vaccines causes autism has been debunked “again and again”. “If there was a mechanism of action where a particular vaccine caused autism, we’d see it in 80, 90, 100% of people receiving the vaccine, and we don’t,” he says. Any association between autism and vaccines is probably a coincidence of timing, he says. “In other words, vaccines might be given at the age of two, and autism genetically might also kick in at the age of two,” he adds. Allen Cheng, an epidemiologist at Monash University in Melbourne, Australia, says the Danish study adds to the evidence that vaccines containing aluminium are safe. Kennedy’s concerns Among Kennedy’s criticisms of the Danish study are that the analysis excluded children who had died before the age of two. According to Kennedy, this means that the children “most likely to reveal injuries” associated with aluminum exposure were excluded. Kennedy also criticized the fact that the authors did not compare vaccinated and unvaccinated children to determine whether any aluminium exposure causes harm, even though they had some data on unvaccinated children. Other critiques posted on the journal website overlapped with Kennedy’s criticisms, says Anders Hviid, the senior author and an epidemiologist at the Statens Serum Institut in Copenhagen, Denmark’s public-health agency. Hviid says he and his colleagues addressed the critiques “one by one”. He also published a rebuttal of Kennedy’s article on TrialSite News on 3 August.
Nature DOI suffix ≠ "/s...": Not a research article
Pay gap between nationals and migrants mainly due to unequal access to high-paying jobs
Are Skeie Hermansen, Andrew Penner, Istvån Boza, Marta M. Elvira, Olivier Godechot, Martin HÀllsten, Lasse Folke Henriksen, Feng Hou, Zoltån Lippényi, Trond Petersen, Malte Reichelt, Halil Sabanci, Mirna Safi, Donald Tomaskovic-Devey, Erik Vickstrom
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Source research: Hermansen, A. S. et al. Immigrant–native pay gap driven by lack of access to high-paying jobs. https://doi.org/10.1038/s41586-025-09259-6 (2025).
Nature DOI suffix ≠ "/s...": Not a research article
Low-energy nuclear fusion boosted by electrochemistry
Amy McKeown-Green, Jennifer A. Dionne
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Nuclear fusion, the process that powers the Sun, has the potential to generate clean and abundant energy. However, it requires two atomic nuclei to collide head-on at high energies, and current fusion reactors cannot produce enough of these collisions to generate more power than they consume. Writing in Nature, Chen et al.1 use electrochemistry to increase collision rates in a fusion reactor. This is the first verified case of electrochemically enhanced nuclear fusion. The authors’ reactor detects the products of nuclear fusion directly. This could enable researchers to gather more detailed information about fusion mechanisms, and will renew interest in the intersection of electrochemistry and nuclear science.
Nature DOI suffix ≠ "/s...": Not a research article
Dying star reveals its inner structure
Anya Nugent, Peter Nugent
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The discovery of the supernova 2021yfj required several chance events aligning perfectly. A supernova is a brief, bright cosmic event produced by a star exploding at the end of its life. 2021yfj was spotted soon after the explosion, and it revealed something that astronomers had never seen before: a silicon- and sulfur-rich layer that had been theorized to surround the cores of massive stars. This extremely rare cosmic event is now reported by Schulze et al.1in Nature. The study provides unprecedented insight into the forging of heavy elements in stars and it challenges our understanding of how stars lose their outer layers in their final moments.
Nature DOI suffix ≠ "/s...": Not a research article
Rare skeletal condition caused by enzyme’s failure to rescue a catalytic cycle
Karen N. Allen
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Enzymes are the workhorses of the cell, enabling metabolic reactions to occur efficiently on timescales compatible with life. Known for their fidelity and catalytic prowess, enzymes allow reaction cycles with specific substrates to occur repeatedly without error. But what happens when an enzyme’s catalytic cycle breaks down? Or, worse, when the natural mechanism for recovering from such a failure also breaks down? Writing in Nature, Jacobs et al.1 trace the root cause of a hereditary skeletal condition, known as Catel–Manzke syndrome, to a defect in the function of a ‘rescue’ enzyme, uncovering the weakness in the catalytic cycle that it was meant to protect.
Nature DOI suffix ≠ "/s...": Not a research article
Peer reviewers more likely to approve articles that cite their own work
Rachel Fieldhouse
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Reviewers are more likely to approve a manuscript if their own work is cited in subsequent versions than are reviewers who are not cited, according to an analysis of 18,400 articles from four open-access publications. The study, which is yet to be peer reviewed, was posted online as a preprint earlier this month1. The study was inspired by anecdotes from authors who cited articles only because reviewers asked them to, says study author Adrian Barnett, who researches peer review and meta-research at Queensland University of Technology in Brisbane, Australia. Sometimes, these requests are fine, he says. But if reviewers ask for too many citations or the reason to cite their work is not justified, the peer-review process can become transactional, says Barnett. Citations increase a researcher’s h-index, a metric reflecting the impact of their publications. These are the most-cited research papers of all time Making unnecessary or unjustified requests for citations, sometimes called coercive citation, is generally considered poor practice. Balazs Aczel, a psychologist who studies metascience at Eötvös LorĂĄnd University in Budapest, says that the latest work isn’t the first to investigate reviewers asking for citations, but that the number of peer reviews included and level of analysis is novel. A barrier to studying the practice is a lack of data sharing from publishers, he says. Approvals, rejections and reservations The preprint considered articles from four publishing platforms — F1000Research, Wellcome Open Research, Gates Open Research and Open Research Europe — that make all versions of their articles, as well as reviewer comments, publicly available. The publishers ask reviewers to approve articles, reject them or approve them with reservations. Reviewers are also asked to explain why when they ask authors to cite their own work. Of 37,000 reviews — at least two people reviewed each article — 54% of reviewers approved articles with no changes and rejected 8%. Almost 5,000 reviewed articles cited a reviewer and roughly 2,300 reviews requested a citation from a reviewer. The analysis found that reviewers who were cited were more likely to approve the article after the first review than were reviewers who were not cited. But reviewers who suggested that their own research be cited were about half as likely to approve the article than reject it or express reservations. In more than 400 reviews in which the reviewer was not cited in version 1 of the article and requested a citation in their review, 92% of reviewers who were cited in version 2 recommended approval compared with 76% for reviewers who were not cited. When a reviewer rejects a paper, they and the authors know that the reviewer is probably going to evaluate any revised versions of the article, says Barnett, so authors might opt for the path of least resistance and include the citation to get their paper accepted. Reviewer comments Barnett also analysed 2,700 reviewer comments and identified the 100 most frequently used words. He found that reviewers who requested citation were more likely to use words such as ‘need’ or ‘please’ in their comments when they rejected an article, which he says suggests that coercive language was used. Jan Feld, a metascience researcher at the Victoria University of Wellington, New Zealand, is not convinced that such language is a sign of coercion. “That seems like a bit of a stretch,” he says. There are other explanations for reviewers rejecting an article than the author refusing to cite their work. He doesn’t doubt that reviewers request citations that are not warranted, but they can recommend citations, including of their own work, to address issues they’ve identified. But even after those recommendations, “if the paper has not improved or I still have concerns, I cannot recommend publication”, he adds.
Nature DOI suffix ≠ "/s...": Not a research article
Daily briefing: Fossil tracks might be earliest evidence of fish testing life on land
Flora Graham
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Nature DOI suffix ≠ "/s...": Not a research article
What counts as plagiarism? AI-generated papers pose new risks
Ananya
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This January, Byeongjun Park, a researcher in artificial intelligence (AI), received a surprising e-mail. Two researchers from India told him that an AI-generated manuscript had used methods from one of his papers, without credit. Park looked up the manuscript. It wasn’t formally published, but had been posted online (see go.nature.com/45pdgqb) as one of a number of papers generated by a tool called The AI Scientist — announced in 2024 by researchers at Sakana AI, a company in Tokyo1. The AI Scientist is an example of fully automated research in computer science. The tool uses a large language model (LLM) to generate ideas, writes and runs the code by itself, and then writes up the results as a research paper — clearly marked as AI-generated. It’s the start of an effort to have AI systems make their own research discoveries, says the team behind it. The AI-generated work wasn’t copying his paper directly, Park saw. It proposed a new architecture for diffusion models, the sorts of model behind image-generating tools. Park’s paper dealt with improving how those models are trained2. But to his eyes, the two did share similar methods. “I was surprised by how closely the core methodology resembled that of my paper,” says Park, who works at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. Researchers built an ‘AI Scientist’ — what can it do? The researchers who e-mailed Park, Tarun Gupta and Danish Pruthi, are computer scientists at the Indian Institute of Science in Bengaluru. They say that the issue is bigger than just his paper. In February, Gupta and Pruthi reported3 that they’d found multiple examples of AI-generated manuscripts that, according to external experts they consulted, used others’ ideas without attribution, although without directly copying words and sentences. Gupta and Pruthi say that this amounts to the software tools plagiarizing other ideas — albeit with no ill intention on the part of their creators. “A significant portion of LLM-generated research ideas appear novel on the surface but are actually skillfully plagiarized in ways that make their originality difficult to verify,” they write. In July, their work won an ‘outstanding paper’ award at the Association for Computational Linguistics conference in Vienna. But some of their findings are disputed. The team behind The AI Scientist told Nature that it strongly disagrees with Gupta and Pruthi’s findings, and doesn’t accept that any plagiarism occurred in The AI Scientist case studies that the paper examines. In Park’s specific case, one independent specialist told Nature that he thought the AI manuscript’s methods didn’t overlap enough with Park’s paper to be termed plagiarism. Park himself also demurred at using ‘plagiarism’ to describe what he saw as a strong methodological overlap. Beyond the specific debate about The AI Scientist lies a broader concern. So many papers are published each year — especially in computer science — that researchers already struggle to keep track of whether their ideas are really innovative, says Joeran Beel, a specialist in machine-learning and information science at the University of Siegen, Germany. And if more LLM-based tools are used to generate ideas, this could deepen the erosion of intellectual credit in science. Because LLMs work in part by remixing and interpolating the text they’re trained on, it would be natural for them to borrow from earlier work, says Parshin Shojaee, a computer scientist at the Virginia Tech Research Center — Arlington. The issue of ‘idea plagiarism’, although little discussed, is already a problem with human-authored papers, says Debora Weber-Wulff, a plagiarism researcher at the University of Applied Sciences, Berlin, and she expects that it will get worse with work created by AI. But, unlike the more familiar forms of plagiarism — involving copied or subtly rewritten sentences — it’s hard to prove the reuse of ideas, she says. That makes it difficult to see how to automate the task of checking for true novelty or originality, to match the pace at which AIs are going to be able to synthesize manuscripts. “There’s no one way to prove idea plagiarism,” Weber-Wulff says. Overlapping methods Bad actors can, of course, already use AI to deliberately plagiarize others or rewrite others’ work to pass it off as their own (see Nature https://doi.org/gt5rjz; 2025). But Gupta and Pruthi wondered if well-intentioned AI approaches might be using others’ methods or ideas too. Gupta and Pruthi were first alerted to the issue when they read a 2024 study led by Chenglei Si, a computer scientist at Stanford University in California4. Si’s team asked both people and LLMs to generate “novel research ideas” on topics in computer science. Although Si’s protocol included a novelty check and asked human reviewers to assess the ideas, Gupta and Pruthi argue that some of the AI-generated ideas produced by the protocol nevertheless lifted from existing works — and so weren’t ‘novel’ at all. They picked out one of the AI-generated ideas in Si’s paper, which they say borrowed from a paper first posted as a preprint5 in 2023. Si tells Nature that he agrees that the ‘high-level’ idea was similar to material in the preprint, but that “whether the low-level implementation differences count as novelty is probably a subjective judgement”. Shubhendu Trivedi, a machine-learning researcher who co-authored that 2023 preprint, and was until recently at the Massachusetts Institute of Technology in Cambridge, says that “the LLM-generated paper was basically very similar to our paper, despite some superficial-level differences”. AI is complicating plagiarism. How should scientists respond? Gupta and Pruthi further tested their concern by taking the four AI-generated research proposals publicly released by Si’s team and the ten AI manuscripts released by Sakana AI, and generated 36 fresh proposals themselves, using Si’s methodology. They then asked 13 specialists to try to find overlaps in methods between the AI-made works and existing papers, using a 5-point scale, on which 5 corresponded to a ‘one-to-one mapping in methods’ and 4 to ‘mix-and-match from two-to-three prior works’; 3 and 2 represented more-modest overlaps and 1 indicated no overlap. “It’s essentially about copying of the idea or crux of the paper,” says Gupta. The researchers also asked the authors of original papers identified by the specialists to give their own views on the overlaps. Including this step, Gupta and Pruthi report that 12 papers in their sample of AI-generated works reached levels 4 and 5, implying, they said, a plagiarism proportion of 24%; the figure rises to 18 (36%) if cases in which the original authors didn’t reply are included. Some were from Sakana’s and Si’s work, although Gupta and Pruthi discuss in detail only the examples reported in this story. They also said they’d found a similar kind of overlap in an AI-generated manuscript (see go.nature.com/4oym4ru) that, Sakana announced this March, had passed through a stage of peer review for a workshop at a prestigious machine-learning conference, the International Conference on Learning Representations. At the time, the firm said that this was the first fully-AI-generated paper to pass human peer review. It also explained that it had agreed with workshop organizers to trial putting AI-generated papers into peer review and to withdraw them if they were accepted, because the community hadn’t yet decided whether AI-generated papers should be published in conference proceedings. (The workshop organizers declined Nature’s request for comment.) Gupta and Pruthi say that this paper borrowed its core contribution from a 2015 work6, without citing it. Their report quotes the authors of that paper, computer scientists David Krueger and Roland Memisevic, as saying that the Sakana work is “definitively not novel”, and identifying a second uncited manuscript7 that the paper borrowed from. Another computer scientist, Radu Ionescu at the University of Bucharest, told Nature he rated the similarity between the AI-generated work and Krueger and Memisevic’s paper as a 5. Krueger, who is at the University of Montreal in Canada, told Nature that the related works should have been cited, but that he “wouldn’t be surprised to see human researchers reinvent this and miss previous work” too. “I think this AI system and others are not capable of achieving academic standards for referencing related work,” he said, adding that the AI paper was “extremely low quality overall”. But he wasn’t sure whether the word plagiarism should be applied, because he feels that term implies that the person (or AI tool) reusing methods was aware of earlier work, but chose not to cite it. Pushback The team behind The AI Scientist, which includes researchers at the University of Oxford, UK, and the University of British Columbia in Vancouver, Canada, pushed back strongly against Gupta and Pruthi’s work when asked by Nature. “The plagiarism claims are false,” the team wrote in an e-mailed point-by-point critique, adding that they were “unfounded, inaccurate, extreme, and should be ignored”. On two AI Scientist manuscripts discussed in Gupta and Pruthi’s paper, for instance, the team says that these works have different hypotheses from those in the earlier papers and apply them to different domains, even if some elements of the methods are related. Is it OK for AI to write science papers? Nature survey shows researchers are split The references found by the specialists for Gupta and Pruthi’s analysis are work that the AI-generated papers could have cited, but nothing more, the AI Scientist team says, adding: “What they should have reported is some related work that went uncited (a daily occurrence by human authors).” The team says it would be “appropriate” to have cited Park’s paper. In the case of Krueger’s paper and the second uncited manuscript, the AI Scientist team says, “these two papers are related, so, while it is an everyday occurrence by humans not to include works like this, it would have been good for The AI Scientist to cite them”. Ben Hoover, a machine-learning researcher at the Georgia Institute of Technology in Atlanta who specializes in diffusion models, told Nature that he’d score the overlap with Park’s paper as a ‘3’ on Gupta’s scale. He said the AI-generated paper is of much lower quality and less thorough than Park’s work, and should have cited it, but “I would not go so far as to say plagiarism.” Gupta and Pruthi’s analysis relies on ‘superficial similarities’ between generic statements in the AI-generated work that, when read in detail, don’t meaningfully map to Park’s paper, he adds. Ionescu told Nature he would give the AI-generated paper a rating of 2 or 3. Park judges the overlap with his paper to be much stronger than Hoover’s and Ionescu’s ratings. He says he would give it a score of 5 on Gupta’s scale, and adds that it “reflects a strong methodological resemblance that I consider noteworthy.” Even so, this does not necessarily align with what he sees as the legal or ethical definition of plagiarism, he told Nature. What counts as plagiarism Part of the disagreement could stem from different operational understandings of what ‘plagiarism’ means, especially when it comes to overlap in ideas or methods. Researchers who study plagiarism hold different views on the term from those of some of the computer scientists in the current debate, says Weber-Wulff. “Plagiarism is a word we should and do reserve for extreme cases of intentional fraudulent cheating,” the AI Scientist team wrote, adding that Gupta and Pruthi “are wildly out of line with established conventions regarding what counts as plagiarism in academia”. But Weber-Wulff disagrees: she says that intent shouldn’t be a factor. “The machine has no intent,” she says. “We don’t have a good mechanism for explaining why the system is saying something and where it got it from, because these systems are not built to give references.” Weber-Wulff’s own favoured definition of plagiarism is that it occurs when a manuscript “uses words, ideas, or work products attributable to another identifiable person or source without properly attributing the work to the source from which it was obtained in a situation in which there is a legitimate expectation of original authorship”. That definition was produced by Teddi Fishman, the former director of a US non-profit consortium of universities called the International Center for Academic Integrity.
Nature DOI suffix ≠ "/s...": Not a research article
US Supreme Court allows NIH to cut $2 billion in research grants
Dan Garisto, Max Kozlov
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The US Supreme Court has let the administration of President Donald Trump go ahead with cuts to active research grants.Credit: Perry Spring/iStock via Getty The US Supreme Court has derailed researchers’ efforts to reinstate almost $2 billion in research grants issued by the National Institutes of Health (NIH). The court’s decision on Thursday represents a remarkable reversal, allowing the administration of US President Donald Trump to proceed with science cuts it began in late February. ‘We were ready for this’: meet the scientists suing the Trump administration to reinstate terminated grants In a divided decision, the high court held that lawsuits filed by researchers to reinstate grants should have been reviewed by a court specializing in contracts, rather than the district court they were filed in. But the Supreme Court narrowly ruled that it was lawful for the district court to review the NIH guidelines used to make the grant terminations and left in place the lower court’s order that the guidelines are illegal and should not be used. The lower court said in June that the grant cuts made by the Trump administration in relation to diversity, equity and inclusion (DEI) amounted to racial discrimination. Although the Supreme Court ruled partially in the researchers’ favour, some scientists say the decision amounts to a de facto win by the Trump administration, because the time and cost of challenging the terminations in a different court will be prohibitive. And it could spell doom for other legal efforts, such as that by a group of researchers in the University of California system, to reinstate funding from other agencies such as the US National Science Foundation. “In a scientific sense, this is a total loss,” says Jenna Norton, a programme officer at the National Institute of Diabetes and Digestive and Kidney Diseases, which is part of the NIH. “The trust and certainty that is so critical to successfully conduct research has been completely obliterated by this ruling.” “What the court made clear yesterday is, if your grants get cut, you’re not going to be able to get any effective remedy for it,” says Samuel Bagenstos, who until December was the top lawyer for the NIH’s parent agency, the Department of Health and Human Services. Neither the NIH nor the researchers who led the lawsuit against the agency responded to Nature’s queries about the ruling. Legal challenges Early this year, the NIH began terminating thousands of research grants relating to a plethora of topics disfavoured by the Trump administration, including DEI, HIV/AIDS and COVID-19. An analysis by Nature found that the cuts have wiped out funding to entire fields of study, such as investigations into the health of transgender people. This loss of billions of dollars in funding has led dozens of research institutions, such as Stanford University in California, to lay off staff members. Judge rules against NIH grant cuts — and calls them discriminatory A host of US states, researchers and organizations that represent scientists filed lawsuits challenging the NIH’s cuts in early April, arguing that the terminations were illegal because the agency — the world’s largest funder of biomedical research — did not follow proper procedures and did not give adequate reasoning for cancelling the grants. In June, judge William Young of the US District Court for the District of Massachusetts in Boston ruled that the NIH guidelines used to terminate the grants, as well as about 800 of the terminations, including those relating to DEI, were illegal. “I’ve been on the bench for 40 years — I’ve never seen government racial discrimination like this,” Young said at a hearing announcing his decision. The next month, a three-judge appeals-court panel unanimously denied the Trump administration’s request to quash Young’s ruling, supporting the claim that the cuts would delay life-saving research by years, if not decades. The administration then filed an emergency petition with the Supreme Court. A court divided The case divided the Supreme Court’s nine justices, three of whom were appointed by Trump, a Republican, leading to an unusually fractious 36-page emergency ruling.
Nature DOI suffix ≠ "/s...": Not a research article
Five reasons why Nepal struggles to attract women into science
Dom Byrne
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Nature DOI suffix ≠ "/s...": Not a research article
Trial and error: research and the criminal justice system
Esme Hedley
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Influenced by economic, social and environmental factors, criminal behaviour is a complex phenomenon. Academics across disciplines as varied as sociology, geography, mathematics and psychology work to understand why and how individuals become involved in and experience the criminal justice system. They also seek to develop strategies for crime prevention, intervention and rehabilitation, and to understand the effectiveness of criminal-justice policies. It is important work: globally, around 11 million people are held in penal institutions. And in much of the world, numbers are rising. Many of these correctional facilities are severely overcrowded and deny incarcerated individuals access to food and basic medical care. Estimated government spending per person in prison per day is around €13 (US$15) in Bulgaria, compared with €532 in Norway. Such differences can reflect a country’s approach to punishment and rehabilitation. Science diversified: The roads less travelled to research careers The hidden costs of incarceration include financial and economic pressures faced by family members with a loved one in prison, as well as the psychological toll and social stigma that can come from being incarcerated. In the United States alone, mass incarceration costs the federal government and the families of those involved with the justice system at least $182 billion every year, according to the Prison Policy Initiative, a public-policy think tank in Easthampton, Massachusetts. Undertaking research projects with incarcerated individuals can be particularly affecting. “One of the most significant difficulties as a researcher is navigating the tension between academic objectivity and the emotionally charged narratives that you encounter,” says Kanupriya Sharma, a criminologist at the University of Nottingham, UK, who interviewed imprisoned women in India as part of her PhD work at the University of Cambridge, UK. Strong networks are essential for this work, and are often used to find and build trust with those working in, or interacting with, the justice system. Nature’s Careers team spoke to three academics who study crime and criminal-justice systems to gain a better understanding of what it is like to work in these complex and often politicized areas of research. SADÉ LINDSAY: The pendulum of support Sociologist and assistant professor of public policy and sociology at the Brooks School of Public Policy, Cornell University, Ithaca, New York. My connection to criminal justice and criminology comes from growing up in a highly disadvantaged and racially segregated neighbourhood in Columbus, Ohio. I have family members who have been caught in a cycle that has shifted them in and out of the prison system. My work revolves around that same system, focusing particularly on how policies and practices, mainly in the context of the United States, shape individuals’ opportunities, health and well-being. These strategies dictate, for example, where people can work after they have been incarcerated, and whether they have access to public goods and services. I tend to focus on racial and ethnic inequalities in these policies, and around drugs and substance use, as well as on alternatives to incarceration. Sade Lindsay is studying the impacts of racial and ethnic disparities in drug-diversion programmes in the United States.Credit: Christian Harsa I’m currently working on a project with Ohio State University in Columbus looking at the causes and consequences of racial and ethnic disparities in drug-diversion programmes. These offer long-term drug treatment and court supervision instead of a jail sentence. They emerged out of the crack-cocaine epidemic in the 1980s and really took off during the current opioid crisis in the United States. But despite this crisis starting to affect Black and Hispanic folks more than white individuals, especially in Ohio, people of colour are very under-represented in these programmes. Instead, they’re often simply sent to prison, where they might receive treatment but only after completing most or all of their sentence. We’re trying to understand why, through qualitative interviews with participants in the drug courts, and by talking to the judges, coordinators, counsellors and probation officers who run them. Political support for prison reform can swing like a pendulum. We’re seeing the pendulum swing now; the will to support people with criminal records is weakening. There was a real risk of our grant being targeted by one of US President Donald Trump’s many executive orders, especially given that the same funding mechanism was discontinued during Trump’s first term, and we’ve had to change some of our reporting to comply with new federal rules. Science behind bars: How a Turkish physicist wrote research papers in prison Our role as researchers is to keep doing the work and keep collecting the evidence, even when the political winds aren’t blowing in our favour. Because that’s how real, lasting change happens — not just through policy changes, but through persistent effort that outlasts any single administration that might come and undo things. It might get trickier to find funding for my research, but there are still foundations and private philanthropists who deeply value this work and are committed to supporting it. The real challenge might be whether drug-treatment courts will remain as willing to open their doors and share their expertise. But that’s exactly why this research is so important. I’m a researcher because I’m a problem solver. The opportunity to use my research to elevate the voices of folks who would otherwise not be in policy conversations is one of my favourite parts of the job. I run into lots of people at conferences now who have a connection to the justice system, through their own experience or by way of family or friends. It’s a great thing in criminal-justice work that more of the people doing the research are those who have been affected. KANUPRIYA SHARMA: Listen to your gut Criminologist and postdoctoral research fellow in the School of Sociology and Social Policy at the University of Nottingham, UK. While conducting fieldwork in India for my master’s degree at the Tata Institute of Social Sciences, Mumbai, I visited women’s prisons thinking that I would hear stories of pain and trauma. Instead, I found that all the women wanted to talk about was love. Many had regained their sense of agency and a feeling of freedom while in prison by entering into romantic relationships with men — whether ones held in different jails, or male security guards or men outside. How imprisoned women formed these relationships intrigued me and became central to my research, and through my PhD thesis I aimed to understand this phenomenon more deeply. I interviewed 127 women across Punjab and Rajasthan, who were imprisoned in barracks located inside male prison complexes or in open, gender-neutral prisons, to explore their pathways to prison and experiences of incarceration. Kanupriya Sharma, a criminologist at the University of Nottingham, UK, highlighted the tensions that can arise between academic objectivity and ‘emotionally charged narratives’.Credit: Kanupriya Sharma My doctorate looked at how these women leveraged their social networks, inside and outside prison, to forge intimate relationships with men. Many of the women I spoke with, regardless of whether they were housed in women’s barracks inside male prison complexes or in all-women facilities, encountered male prisoners during court visits when they were transported in the same prison van or held in the same court lock-up during their hearing. They also communicated with men through letters exchanged across facilities, and were often introduced to men outside during visitation hours by fellow female prisoners. Many of the women I spoke to used these relationships to navigate the constraints of imprisonment, reclaim their identities and be accepted by the community when they are released. In India, there is so much taboo around extramarital relationships and a woman’s choice, or lack of choice, of a partner. The women I met are challenging patriarchal institutions, prison and society by forming these relationships in a space that deprives them of both these freedoms. Moving from prison to a PhD
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Net zero needs AI — five actions to realize its promise
Amy Luers
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In 2024, the global average annual temperature exceeded 1.5 °C above pre-industrial levels for the first time. Greenhouse-gas emissions are rising, and the window to reach net zero by 2050 is closing fast. Artificial intelligence (AI) systems can play a crucial part by improving energy and resource-use efficiency, accelerating innovation and expanding people’s capacity to act. But without swift, deliberate effort, this opportunity could slip away. Realizing net zero — balancing the amount of carbon emissions emitted with the amount removed — by mid-century will require rapid, large-scale transformations. Electricity generation must nearly double by 2050 as transport, heating systems and industries shift from fossil fuels to electric power. Renewable-energy capacity must triple by the end of this decade to meet the rising demand without simultaneously increasing emissions1. Six roadblocks to net zero — and how to get around them Steel, cement, chemical and other industries — which are responsible for almost one-third of global carbon-dioxide emissions — must shift to near-zero emissions, even though affordable, scalable alternatives are limited1. Carbon removal must increase rapidly. Highly durable removal methods such as enhanced rock weathering — which can store CO2 for centuries to millennia — must scale up by a thousandfold by 2050, removing gigatonnes of CO2 annually to help neutralize the hardest-to-abate emissions2. Progress is constrained by three barriers: system complexity, slow innovation and workforce gaps. For example, electricity grids can become harder to manage as reliance on variable, decentralized renewable sources rises. Clean technology can also take years to develop and scale up, and skilled workers are in short supply. AI is not a silver bullet — but without it, these problems are unlikely to be solved fast enough. Much attention has focused on AI’s high energy consumption and water use. These operational impacts can strain local power grids or exacerbate water stress, and must be actively addressed. But they are not major drivers of global climate change. Framing them as such distracts focus from AI’s transformative climate-mitigation potential and from its biggest influence on the climate, which will depend on how it is used. Here, I put AI’s operational footprint in the context of its broader climate impact and outline five areas of action that are needed to realize the technology’s potential to achieve deep decarbonization. AI’s climate ledger AI’s demand for electricity is rapidly increasing. The International Energy Agency (IEA) reports that global electricity use by data centres could more than double by 2030, reaching about 3% of global electricity consumption, with AI-dedicated servers driving nearly half of the growth3. In the United States, data centres consume about 4.4% of electricity and could reach 6.7–12% by 2028, depending on AI deployment and efficiency4. Meeting this surge entirely with carbon-free power is challenging. In the past, data-centre developers only prioritized cost and infrastructure. Now, many also consider grid capacity and carbon emissions. But transmission bottlenecks and permit delays are slowing carbon-free electricity growth, making it hard to keep up with AI-driven demand. Light bulbs have energy ratings — so why can’t AI chatbots? Some regions are turning to natural gas to meet rising demand. In central Ohio, regulators approved the development of new gas plants for incoming data centres. In northern Virginia, analysts estimated 10–15 gigawatts of natural-gas capacity could be needed to meet data-centre demand (see go.nature.com/45zdgna). But, from a global perspective, AI’s operational footprint remains modest. Data centres use about 1.5% of global electricity and contribute roughly 0.5% of total CO2 emissions3. Water use for data-centre cooling and electricity supply is about 560 million cubic metres annually, less than 0.08% of global freshwater consumption3,5. By 2030, data-centre water consumption is expected to more than double3. Although that is a modest amount on a global scale, data-centre resource demand can add stress to local grid and water systems. A widely cited claim — the chatbot ChatGPT needs to ‘drink’ a 500-millilitre bottle of water for a simple conversation — sounds alarming but is misleading. Analysis shows that 87% of that water is used to cool power plants6. This highlights a little-known fact: electricity generation still uses mainly fossil fuels and is extremely water intensive. Every time you turn on a light, water is consumed. ChatGPT’s 2.5 billion daily queries consume about 0.5% of the amount of electricity used each day by people watching television in the United States. The chatbot’s estimated daily water consumption — about 3,700 m3 — is negligible relative to the 690,000 m3 used for powering US televisions, and the roughly 43,000,000 m3 of water lost daily in the United States owing to leaky pipes (see Supplementary Information). A system that uses AI technology and more than 1,000 cameras detects wildfires in California.Credit: Patrick T. Fallon/AFP/Getty AI’s biggest climate consequences will come from how it is used. It could increase emissions by boosting fossil-fuel extraction. Without adequate governance safeguards, AI systems could also undermine climate progress by deepening inequalities and eroding trust7. But the technology can also serve as a pivotal tool to cut emissions by overcoming barriers of complexity, speed and scale. For example, AI-enabled dynamic line ratings (a technology used to monitor the real-time capacity of overhead power transmission lines) use real-time data — such as temperature, wind speed and other weather conditions — to continually adjust the safe operating capacity of power lines. This can increase transmission capacity by up to 40%, allowing more power from wind and solar technologies to flow through existing grids and reducing the need for costly and time-consuming building of new infrastructure (see go.nature.com/428hqx7). Why coalitions of wealthy nations should fund others to decarbonize AI is also accelerating the search for low-carbon materials, including alternatives to cement. Cement production is one of the largest single industrial sources of CO2 emissions, mainly because of clinker — the key binding agent — the production of which releases large amounts of CO2 during limestone processing. Cutting these emissions requires replacing clinker with other materials that match its strength and durability. With conventional trial-and-error methods, this could take decades. In May, researchers at the Massachusetts Institute of Technology (MIT) in Cambridge showed that AI could be used to speed up this process drastically. Their system scanned 88,000 scientific papers and analysed data on one million rock samples, rapidly narrowing down the field to 19 promising clinker substitutes — a task that Soroush Mahjoubi, the lead author and a civil engineer at MIT, said would have taken “many lifetimes” using conventional laboratory methods8. However, discovery is only the first step. Bringing such materials to market still involves rigorous performance testing, navigating regulatory approval and persuading a typically conservative construction industry to adopt new products at scale. The IEA estimates that by 2035, widespread AI deployment in the energy sector could cut annual CO2 emissions by 1.4 gigatonnes — more than twice the amount projected from data-centre emissions (see ‘AI emissions trade-off’). These savings would come from smarter control and forecasting of demand, system conditions and emissions sources3. Economist Nicholas Stern and his colleagues at the London School of Economics and Political Science estimated even greater potential: 3.2–5.4 gigatonnes of annual reductions by 2035 across electricity, transport and food sectors9. Sources: Energy, Ref.3.; Electricity, food and transport, Ref.9. AI alone will not deliver net zero, but it is a powerful tool for accelerating deep, sustained decarbonization. Realizing its full potential requires doing the following. Five actions Invest in AI for the climate. In 2024, AI climate-technology raised US$6 billion, with most directed towards commercially attractive sectors such as autonomous vehicles and optimization in energy, homes and agriculture10. Crucial areas such as grid integration, materials discovery and carbon removal remain underfunded, despite AI’s potential to accelerate progress3.
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How a fraudulent scientist faked his career and other cautionary tales: Books in brief
Andrew Robinson
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The Scientist Who Wasn’t There Joanne Briggs Ithaka (2025) Once a respected NASA space scientist, Michael Briggs became a university biochemist and pharmaceutical executive who advocated for Primodos, a controversial oral pregnancy test. But Briggs was exposed for scientific fraud by an investigative journalist in 1986. He died that same year from a mystery illness. Now his daughter, barrister Joanne Briggs, has written a hauntingly frank “memoir, not a historical account” about him, relying on her and her mathematician brother’s memories and copious research into their father’s career. Ocean David Attenborough & Colin Butfield John Murray (2025) During the past century — which coincides with naturalist and broadcaster David Attenborough’s life — “we have discovered more about our ocean than in any other span of human history”, Attenborough notes in an eloquent book, written with producer Colin Butfield. We know that the huge blue whales (Balaenoptera musculus) feed mainly on krill, some of the ocean’s smallest animals, swallowed in a single gulp of 80,000 litres of water. Yet how whales blend their senses to traverse Earth’s “last wilderness” is still a mystery. Clamor Chris Berdik W. W. Norton (2025) The World Health Organization treats noise as one of the top environmental threats. Drawing on research in acoustics, neuroscience and urban planning, science writer Chris Berdik explores in his resonant book how “noise took over our world while we weren’t really listening”. Noise “can trigger a visceral, even furious response from us in the moment” but once it passes we ignore its effects. And it’s tricky to distinguish noise from sound — like the high-pitched “kiss of a trout” followed by a splash while fly-fishing. The Human Test Ron Folman Prometheus (2025)
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Deep brain stimulation data need public oversight
Alberto Priori, Sara Marceglia
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Transformative technologies originate in academic research. The history of smart deep brain stimulation (DBS) is no exception, as described in your News feature (see Nature 643, 625–627; 2025). Public funding enabled early proof-of-concept studies that leveraged patents and prototypes, fostering a virtuous cycle of collaboration involving academia, industry and people receiving treatment, culminating in DBS implants.
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NASA’s Earth-observing satellites are crucial — commercial missions cannot replace them
Danielle Wood
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Companies have made impressive progress in measuring Earth’s environmental changes from space. GHGSat, an emissions-monitoring company in Montreal, Canada, tracks methane leaks from landfill sites and oil rigs. Earth-imaging firm Planet in San Francisco, California, uses more than 200 satellites to record land and infrastructure for the energy, insurance and maritime sectors. Data-analytics company Spire in San Francisco converts radio signals from navigation satellites into estimates of ocean height and wind speed to support weather forecasts. European aerospace firm Airbus operates radar satellites that can be used to study volcanoes, wetlands and sea ice. Space agencies are taking note, and several, including the European Space Agency and NASA, are incorporating commercial data into their portfolios to make them available to researchers. Both agencies have defined processes for evaluating externally produced data, providing science-based assessments of the accuracy, geographical targeting and usability of the observations. Google AI model mines trillions of images to create maps of Earth ‘at any place and time’ As an academic researcher, I have been excited to participate in efforts to increase the adoption of data from commercial satellites to complement publicly provided information. For example, supported by NASA, I have begun to apply GHGSat data to estimate methane emissions from a landfill site in Brazil. I am also exploring how to use data from companies such as Spire to support hurricane risk-reduction efforts in Puerto Rico and Mexico. I have found that data gathered by commercial organizations are innovative and useful. But I also know that private companies alone cannot provide all the Earth-observation data that the world needs. Nor should they. As governments debate science budgets and consider the role of the public and private sectors in environmental monitoring, it can be tempting to look for ways to increase efficiency and move public-sector operations to the private sector. The progress of commercial satellite operators might seem to provide evidence that NASA will not need to operate as many satellites in the future as it does now. Indeed, US President Donald Trump’s budget request for the 2026 fiscal year proposes to cancel NASA funding for several government-operated Earth-observation missions. But this is the wrong lesson to learn from private-sector progress. Instead, governments and researchers should continue to pursue a balance between the contributions of the commercial and public sectors to environmental monitoring. Satellite-based Earth-observation missions operated by the public sector remain relevant, because they have several unique features. ‘We dissent’: NASA staff declare opposition to Trump cuts First, such missions are set up to answer scientific questions or to maintain public services, such as weather forecasts or flood-response systems. Although commercial Earth-observation companies can contribute, governmental entities should take the lead to ensure that publicly controlled and validated data, models and forecasts are produced — and trusted.
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How citizen science can help to solve the global freshwater crisis
Sasha Woods
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We are living through a global freshwater crisis: in 2014, humanity used five times as much water as it did in 1914 and supplies are dwindling fast in many countries (see go.nature.com/4mg4dnt). Water contamination only makes the problem worse. In the past two years alone, swathes of the United States, Europe and Africa have been hit by a combination of catastrophic floods and severe droughts, both of which worsen water quality. Floods wash chemicals and pathogens into rivers and lakes, and droughts concentrate these contaminants, making bathing waters unsafe to swim in and necessitating intensive treatment of drinking water. Citizen scientists can be chemists: give them a chance As director of science and policy at Earthwatch Europe, a non-profit environmental organization, I’ve witnessed at first hand how difficult it is to reliably monitor water quality and measure progress towards universal access to safe water and sanitation (Sustainable Development Goal (SDG) 6). As a scientist, my approach for addressing any challenge is to research it. I gather and analyse data, and try to understand the problem and design solutions. But the global freshwater crisis feels overwhelming: how can we monitor freshwater bodies globally and identify pollution hotspots so that we can hold polluters accountable? The answer, I think, is citizen science — the public’s active involvement in research. By enabling communities to monitor their local waters using simple test kits, we can better understand the threats to our freshwater systems and collectively advocate for action. This two-way exchange educates and empowers individuals and simultaneously generates data on a scale scientists can’t achieve alone. Citizen scientists have already demonstrated their ability to provide extensive, accurate and timely information on water quality at a national level. In the United Kingdom, Earthwatch Europe’s Great UK WaterBlitz events — four-day campaigns in which volunteers assess nitrate and phosphate nutrient pollution in their local rivers, lakes and ponds — have mobilized thousands of people. In one weekend in April 2025, nearly 8,000 citizen scientists collected 4,000 surveys. Given that the UK Environment Agency seeks to increase the number of water-industry inspections from 10,000 in 2025–26 to 11,500 in 2026–27, it’s easy to see how reliable data from citizen scientists could be used to help uncover regulatory non-compliance, improve the performance of water companies and identify pollution sources. Data on SDGs are riddled with gaps. Citizens can help In Sierra Leone, Earthwatch Europe and the United Nations Environment Programme’s GEMS/Water initiative — through the World Water Quality Alliance — has equipped citizen scientists with the tools needed to collect data on the proportion of rivers and lakes with good water quality. By integrating citizen-science data into official monitoring efforts, Sierra Leone’s National Water Resources Management Agency has almost doubled the number of water bodies it can assess (see go.nature.com/3v2f6cd), contributing to SDG indicator 6.3.2.
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Before making a career move, try an experiment
Matthew Betts, Anne-Laure Le Cunff
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Running experiments as part of a career journey can be as productive as time in the lab.Credit: CERN/Science Photo Library In 2024, one of us (M.B.) stepped into a writing workshop run by the other. As we chatted after the session, it became clear that we had both navigated dramatic career shifts, sometimes following an impulse, and other times more deliberately. We realized that we were both drawn to the idea of rethinking career paths as a process of experimentation. For A.-L.L.C., this began in 2017, when she left her job in digital health at Google’s campus in Mountain View, California. She simply quit — no plan, no safety net, just the conviction that this career wasn’t right for her. The loss of her work identity and the financial stress that followed were anxiety-inducing, and she regretted taking the jump without fully considering what to explore next. In 2019, while in a neuroscience master’s programme at King’s College London, A.-L.L.C. grew curious about science communication, so she decided to try a career experiment, rather than make an impulsive leap. Inspired by scientific methodology, she designed a test and trial phase: writing 100 articles on a wide range of topics in 100 days for her personal website. During career exploration, small, intentional experiments, such as this one, can turn uncertainty into insight and shrink the psychological distance between the current situation and what comes next. Charting a new course Because English wasn’t her first language, A.-L.L.C. had significant doubts about whether she could translate complex research into engaging content. But over those 100 days, she discovered unexpected benefits: the joy of feedback from readers and developing skills she hadn’t anticipated, such as visual storytelling and building a dedicated following and community. Most importantly, the experiment shifted her perspective. She realized that her career path didn’t have to be an either–or choice between researcher and science communicator. In fact, the synergy between the roles made her stronger in both. Anne-Laure Le CunffCredit: Vanity Studios Similarly, after 17 years on an academic path with the goal of becoming a professor in neuroscience, M.B., then based at the University of Magdeburg, Germany, found himself increasingly curious about start-ups and how research could be applied to build technological solutions. But instead of leaving research for something unfamiliar, he began exploring his interest while still in academia, treating his exploration of the start-up world as an experiment. In 2019, he started a new project: every Friday for six weeks, he reached out to a neuroscience-focused start-up to arrange informal coffee chats. One that stood out was MedEngine, a Berlin-based company developing Flytta, a tool for passively tracking motor and non-motor symptoms of Parkinson’s disease. The firm’s work overlapped with his own research, and they began exploring ways to collaborate. Later that year, MedEngine provided input on a successful grant application that M.B. led, one aspect of which was using Flytta for the early detection of Parkinson’s disease. The experience helped him to establish his first connections with the start-up world while remaining rooted in academic research. Then, in 2020, M.B. began a new experiment — working five hours a week as a scientific editor at the health-tech start-up neotiv in Magdeburg, Germany, gaining experience translating research findings to create an app for the early detection of memory problems related to Alzheimer’s disease. That first step led him to co-found his own start-up, Alois — a digital companion that sets reminders and stores memories as voice notes to help people with early-stage dementia to maintain their independence. After meeting his co-founders at a hackathon, they began working on the idea. They soon after joined an incubator programme while M.B. was still in academia. The start-up didn’t work out, but the experience was invaluable. It highlighted the differences between business and academia: decisions had to be made quickly and with limited information; collective teamwork took precedence over individual expertise; and, most significantly, the focus was on solving a real problem, not just advancing knowledge. How to run an experiment The goal of a career experiment isn’t to land your next job — it’s to learn. Experiments can lead you down curiosity-driven rabbit holes and open up unexpected paths. Just like in research, some will confirm your hypothesis, and others will disprove it. In fact, a ‘failed’ career experiment can be just as clarifying as a successful one by helping you to rule things out. Matthew Betts For both of us, this experimental approach has led us to varied and interesting roles. A.-L.L.C.’s career experiment became the foundation for the Ness Labs newsletter, which today has more than 100,000 subscribers, and led to her book, Tiny Experiments, published this year. She has remained in academia, working as a neuroscience researcher at King’s College London. M.B. now runs MJB Consulting in Berlin, his own health-tech consultancy, and leads guided workshops for PhD students and postdocs on curiosity-driven career experimentation. Here are five tips for crafting a career experiment: Choose your hypothesis. Decide what question you’re asking, and how you can frame it to create a clear test. For example: “Do I enjoy translating research for industry?”, “Am I energized by mentoring and teaching?” or “Does consulting work align with my skill set?”
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Repeated heatwaves can age you as much as smoking or drinking
Freda Kreier
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Credit: Patricia de Melo Moreira/AFP via Getty Long-term exposure to extreme heat events accelerates the body’s ageing process and increases vulnerabilities to heath issues, finds a long-term study of 24,922 people in Taiwan. The study, published today in Nature Climate Change1, suggests that moderate increases in cumulative heatwave exposure increase a person’s biological age — to an extent comparable to regular smoking or alcohol consumption. The more extreme-heat events that people were exposed to, the more their organs aged. This is the latest study to show that extreme heat can have invisible effects on the human body and accelerate the biological clock. Exposure to extreme heat, especially over long periods of time, strains organs and can be lethal, but “the fact that heatwaves age us is surprising”, says Paul Beggs, an environmental-health scientist at Macquarie University in Sydney, Australia, who was not involved in the research. “This study is a wake-up call that we are all vulnerable to the adverse impacts of climate change on our health. It reinforces calls for urgent and deep reduction in greenhouse-gas emissions,” he adds. Accelerating ageing Age isn’t just a result of time. Previous studies have linked a number of factors — including environmental and social stress, genetics and medical interventions — to signs of ageing-related physiological changes. This puts people at a higher risk of cardiovascular disease, cancer, diabetes and dementia2. To study the long-term impacts of heatwaves on ageing, the researchers analysed data from medical examinations between 2008 and 2022. During that time, Taiwan experienced around 30 heatwaves, which the study defined as a period of elevated temperature over several days. The researchers used results from several medical tests, including assessments of liver, lung and kidney function, blood pressure and inflammation, to calculate biological age. They then compared biological age with the total cumulative temperature that participants were probably exposed to on the basis of their address in the two years before their medical visit. The study found that the more extreme-heat events that people experienced, the faster they aged — for every extra 1.3 °C a participant was exposed to, around 0.023–0.031 years, on average, was added to their biological clock. “While the number itself may look small, over time and across populations, this effect can have meaningful public-health implications,” says Cui Guo, an environmental epidemiologist at the University of Hong Kong, who led the study. Manual workers and people living in rural areas experienced the largest health impacts, probably because these groups are less likely to have access to air conditioning. But there was an unexpected upside: the impact of heatwaves on ageing decreased over the 15-year study period. The reasons behind this heat adaptation are unclear, but improved access to cooling technology could play a part, Guo says. Still, “the message is that heat makes you age a bit faster than you normally would, and that this is something you would like to avoid”, says Alexandra Schneider, an environmental epidemiologist at Helmholtz Munich in Germany, who was not involved in the study. Credit: Perry Svensson/Alamy
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Daily briefing: Why fertility rates are declining — and what to do about it
Flora Graham
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I trawl coastlines to study the impacts of microplastics on marine life
Josie Glausiusz
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“When I tell people I am a marine biologist, everybody thinks I’m swimming with dolphins and whales. In reality, I spend my time in the field collecting mussels, oysters, crabs and seaweeds to test their behavioural and physiological responses to microplastics. In this photo, taken in October 2024 near the village of Hafnarfjörður in southwestern Iceland, I’m collecting samples of the European green crab, Carcinus maenas, from a dense bed of Ascophyllum nodosum, a seaweed. The fronds of this alga reach 0.5 to 2 metres in length, and can cover a beach. I did my doctoral studies at the Centre of Marine Sciences at the University of Algarve in Faro, Portugal. While I wait to defend my thesis, I’m doing a postdoc at the University of Lille in France. In my research, my colleagues and I compare the impact of microplastics on genetically distinct populations of several species, including certain molluscs and crustaceans.
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My moonshot to preserve endangered species
Lesley Evans Ogden
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Mary Hagedorn, who studies cryopreservation of corals, wants to put a biobank on the Moon.Credit: Marco Garcia Working scientist profiles This article is part of an occasional series in which Nature profiles scientists with unusual career histories or outside interests. Mary Hagedorn has spent decades studying coral reproduction as part of an effort to save reefs from being destroyed by rapidly warming oceans. To collect precious fragments of new coral life, she must carefully synchronize her activities to the Moon’s phases. Corals breed at or near a full moon, releasing a blizzard of sperm and eggs into shimmering waters, but the unpredictability of which full moon corals choose makes fieldwork a gamble. On one trip “we dove for 60 nights straight” before capturing the magic moment, Hagedorn says. The patience and persistence required to collect coral sperm, cryopreserve it, transport it to the laboratory for rearing coral larvae and then releasing them into the ocean could serve her well for another planned mission: a literal moonshot to preserve threatened organisms. Working Scientist career profiles Hagedorn, a research scientist at the Smithsonian Conservation Biology Institute in Kāne‘ohe, Hawaii, is part of an interdisciplinary team proposing to build a frozen repository in a permanently shadowed polar area on the far side of the Moon. Initially, the effort would focus on cryopreserving a veritable Noah’s ark of Earth’s animal life. It would start by banking tissue samples from endangered and threatened animals, as well as from priority species. These would include pollinators and ecosystem engineers such as beavers, that, through dam-building, create whole systems of aquatic environments for other organisms. Hagedorn and ten collaborators published the lunar biorepository idea in 2024 in the journal BioScience as a backup plan for biodiversity — a way to introduce life back to Earth, or to other planets, in the event of catastrophic loss (M. Hagedorn et al. BioScience 74, 561–566; 2024). She likens the planned repository to the Svalbard Global Seed Vault in Arctic Norway, which stores seeds of genetic importance for food, agriculture and biodiversity in a rocky cavern deep under an icy mountain held at −18 °C. It’s an ambitious idea that faces many challenges, including a political climate in which science in the United States and beyond is being undermined and underfunded, especially when related to the impacts of climate change. Nevertheless, the lunar biorepository idea is gaining traction and being given serious consideration. “We wanted something that could act like Svalbard,” but there’s no place on Earth that is naturally cold enough, says Hagedorn. Even Svalbard needs refrigeration to keep its samples frozen. In 2016, extraordinarily warm winter temperatures sent a flood of melt water into the vault’s entrance. It was a wake-up call for a facility thought to be a fail-safe because it is surrounded by permafrost. Thinking big, and extraterrestrially, Hagedorn reasoned that the lunar south pole is spared the vagaries of climate and temperature (see ‘Quick-fire Q&A’). Being stored under the Moon’s surface, also protects the samples from another damaging factor: radiation. Another advantage is the Moon’s lack (so far) of war, violence, natural disasters, overpopulation and resource depletion. Samples could be stored and retrieved using robots similar to the Mars rovers. Addressing criticism that retrieving samples could be challenging, Hagedorn responds that, barring an apocalypse, “we will be travelling into space regularly in the future”. Quick-fire Q&A If you could do a site visit for a biorepository on the Moon, would you go? In a heartbeat. I would love to go into space. I actually applied to be an astronaut with NASA, but my eyesight was not good enough. Every author on our 2024 BioScience paper proposing the biorepository is like me — they’re frustrated astronauts, sci-fi buffs or both. How did your biorepository team come together? Around 2015, I was giving a talk in London about biorepositories in general. I said, “you know, one of the best places we could probably have a biorepository is on the Moon”. Then, I brought this concept up at the Smithsonian Institution in Washington DC, and the response of my colleagues there was, “this is really stupid — don’t do this”. So I didn’t pursue it, for about four years. But during the COVID-19 pandemic, I had some time, and I decided to get a group together, meeting on Zoom. It just grew from there. What is the biggest challenge to getting this project off the ground? Money. This project is going to cover so many different areas, from space engineering to ethics, and there are going to be a lot of scientific changes and breakthroughs. It’s all new territory; I think that is going to be very exciting. We just have to be patient and try to get some small grants to keep us going. There will be a way. Composite image of the lunar south pole.Credit: Stocktrek Images/Getty Location, location, location One favoured site for a lunar bio-repository lies in a crater some 6 kilometres deep, “way deeper than the Grand Canyon” in Arizona, Hagedorn says. In this permanently shadowed space, the temperature is stable — at or below −196 °C. Protecting Earth’s life must be a top priority in the rush to stake out lunar sites for industry and research, argue Hagedorn and her co-authors, whose expertise encompasses cryobiology, medicine, engineering, atmospheric research, coral and fish biology, and law and policy. They issued an open call for others to collaborate on this ambitious, decades-long programme. The process would start by banking skin samples that contain fibroblast cells. Those fibroblasts are isolated from a cell-culture process, and then cryopreserved. They can later be thawed and transformed into sperm and egg cells from the specific species. Eventually, whole organisms could be reintroduced into their natural habitat. A sit in the sauna can save endangered frogs As proof of concept, the team will test one species on the International Space Station. The researchers plan to cryopreserve pelvic fins from a coral-reef dwelling fish aptly named the starry goby (Asterropteryx semipunctata), and test them in space for sensitivity to radiation and microgravity. They will also refine the optimal storage materials for cryopreserved cells and study how frozen storage in space affects DNA and the ability to derive and culture cells from thawed fin samples. Once the team works out the kinks for starry gobies, it wants to expand to other species. There are plans to collaborate with continental-scale sampling already being undertaken by entities such as the National Ecological Observatory Network, which is funded by the US National Science Foundation (NSF) and collects 100,000 biological samples annually from freshwater and terrestrial habitats. Cryobiology, corals and lunar missions were not always Hagedorn’s focus. After earning a PhD in marine biology at the Scripps Institute of Oceanography in La Jolla, California, in 1983, Hagedorn next studied the physiology of electric fishes and a cichlid fish (Astatotilapia burtoni) as a postdoctoral fellow. That research abruptly ended after a boating accident in the Peruvian Amazon claimed the lives of two colleagues. Hagedorn could not bring herself to go back, but realized she wanted to work on the impacts of warming oceans, which led her to bleached and dying coral — the ocean’s canary in the coal mine. An article by Canadian molecular physiologist Ken Storey, on the ability of tree frogs to freeze solid in winter and thaw again in spring (K. B. Storey and J. M. Storey Sci. Am. 263, 92–97; 1990), sparked the idea of using cryobiology for ocean conservation work. “Nothing had been done at the time with cryo-preservation of corals,” says Hagedorn. She received a mid-career fellowship at the Smithsonian Institution in Washington DC in 1996 to start work on fish-embryo cryopreservation. In 2004, she transferred her lab group to Hawaii, expanding the scope of her work to include developing techniques for coral cryopreservation. The lunar biobank could start with tissue samples from corals and other endangered species.Credit: Andrew Heyward, AIMS Mehmet Toner, a biomedical engineer at Harvard University in Cambridge, Massachusetts, who has known Hagedorn for more than 30 years, says: “I don’t think there’s anyone else in the world who knows coral biology and cryobiology like her.” Toner, Hagedorn and their colleagues are funded by the NSF as part of the ATP-Bio programme, which brings together partners from industry, academia, the non-profit sector and government to investigate how to cryo-preserve and store samples ranging from cells to whole organisms. Toner’s cryobiology research includes work to understand how to freeze and thaw cells without damaging them. “When I learned about the southern lunar pole being in cryogenic temperatures, it sparked my interest,” says Toner, a co-author of the lunar biorepository proposal. Moonstruck collaborators The cryobiology involved in preserving life across a spectrum of biodiversity is extremely complex, he explains. “You’re taking a living thing to −196 °C and bringing it back” to the temperature of its habitat, alive. “I call that a miracle.” At the same time, he notes that cryobiology techniques have advanced significantly in the past 20–30 years. “It’s much more predictable and doable now,” he says. Toner notes that their team is not the only one vying for lunar real estate. “That part of the Moon is becoming very popular,” with scientists also proposing polar craters as sites for mines, telescopes and temporary human habitation. Indeed, NASA’s Artemis programme, which aims to land humans on the Moon again, is encouraging the exploration of lunar resources. John Bischof, a bioengineer at the University of Minnesota in Minneapolis and the director of ATP-Bio, notes Hagedorn’s talent for identifying scientists to join their team. “She’ll bring you into the collaboration, show you exactly where you can make the contribution, and explain why it’s so important. So, even before you do anything, you’re just so pumped up,” he says, describing her as enthusiastic and empathetic. “It’s fun to be around somebody like Mary,” says Bischof, describing her as “untethered in a good way”. This company claimed to ‘de-extinct’ dire wolves. Then the fighting started Claire Lager, Hagedorn’s lab manager since 2016, and once her graduate student, notes that “somebody who wants to put things on the Moon has to be optimistic, enthusiastic and very, very charismatic”, and that Hagedorn ticks all the boxes.
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When will dengue strike? Outbreaks sync with heat and rain
Mariana Lenharo
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The Aedes mosquitos, which spread dengue, thrive in warm conditions. Credit: Soumyabrata Roy/NurPhoto via Getty Major dengue outbreaks in the Americas tend to occur about five months after an El Niño event — the periodic warming of the Pacific Ocean that can disrupt global weather — a study1 has found. Meanwhile, local outbreaks tend to happen about three months after summer temperatures peak and roughly one month after peak rainfall. The study, published today in Science Translational Medicine, paints a clearer picture of the relationship between the mosquito-borne disease and climatic conditions in the Americas, a region that saw a record-breaking 13 million cases in 2024. Dengue is caused by four closely related viruses and spread by the Aedes species mosquitoes. There is no specific treatment, and the disease can lead to fever, bone pain and even death. The research relied on roughly three decades of surveillance data from 14 countries. Cases in the region tended to rise and fall in sync, on average six months apart, even in places as far as 10,000 kilometres apart. The findings are “useful to anticipate when a region might expect to see an epidemic, which can help inform planning and preparedness”, says Talia Quandelacy, a co-author and an infectious-disease epidemiologist at the University of Colorado School of Public Health in Aurora. She notes that, although the link between dengue and climate is well known, what stands out in the findings is how this association plays out across the entire continent, “especially given that it’s such a climatically diverse region”. Toasty mosquitoes
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Daily briefing: Mental password prevents brain implant from speaking people’s private thoughts out loud
Flora Graham
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Securing climate justice in the courtroom
Bianca Nogrady
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SaĂșl Luciano Lliuya’s home town of Huaraz in Peru is threatened by flooding from a glacial lake.Credit: Luka Gonzales/AFP via Getty From the smiles, bouquets and cheers among the crowd gathered outside the Higher Regional Court of Hamm in Germany on 28 May, it might have looked like those present were celebrating a win. In fact, they had just lost a ten-year legal battle. In 2015, SaĂșl Luciano Lliuya, a mountain guide from the alpine town of Huaraz in Peru, sued German multinational energy giant RWE for its contribution to global warming, which threatened Lliuya’s home with flooding from a nearby glacial lake. The case had numerous setbacks over the ensuing decade, but the final blow came on 28 May. The court dismissed the latest appeal, saying the likelihood of a flooding event reaching Lliuya’s home and causing serious damage was too low to justify legal intervention. Yet, outside the courtroom on that fateful day, Lliuya’s lawyer Roda Verheyen declared jubilantly to waiting reporters, “I’m so happy”. The reason for her celebration was that the court decision created a bombshell precedent: major greenhouse-gas emitters could be held liable for costs of damage in the future, on the basis of their proportional contribution to global emissions. “This ruling shows that the big polluters driving the climate can finally be held legally responsible for the harm they have caused,” Lliuya said in a statement. Nature Spotlight: Climate change Noah Walker-Crawford, a social anthropologist at the Grantham Research Institute on Climate Change and the Environment in London, who was initially involved in the Lliuya v. RWE case, says that those involved never thought it would get as far as it did, especially on scientific grounds. “When we started the case, the science wasn’t that far along yet, so on attribution we only had broad insight,” he says. In 2015, climate-attribution science was still in its infancy. The field investigates the extent to which human-induced climate change alters the likelihood or intensity of a particular climate-related event. For example, a flood triggered by a melting glacier, a heatwave that kills thousands of people, sea-level rise that destroys coastal properties or a forest fire that razes a town. Ultimately, it also provides a way to apportion blame for discrete climate events to individual entities, such as a company or government. As the Lliuya v. RWE case progressed, so too did the attribution science. “The case ended up taking so long that the science caught up,” Walker-Crawford says. In particular, a study1 published in 2021 found that the melting and retreat of the Palcaraju glacier and the increased risk of a glacial lake outburst flooding nearby Huaraz — Lliuya’s home — was “entirely attributable” to human-induced global warming. That flipped both the science and the law. Many of those working in attribution science and applying it in the courtroom see the Lliuya v. RWE decision as a landmark one that gives the field legal weight, opening the door for the science to have its day in court. Cause and effect August 2003 was the hottest European summer in around 500 years. Heatwaves broke temperature records across the continent, rivers dried up, forest fires raged, glaciers melted and an estimated 20,000 people died from heat-related illness. One year later, a study concluded with extremely high confidence that human-induced climate change had at least doubled the risk of such an extreme heatwave occurring2. The paper is considered the first peer-reviewed, published climate-attribution study of an extreme weather event. Lawyer Roda Verheyen (centre) was happy with the decision in the Lliuya v. RWE lawsuit.Credit: Christopher Neundorf/EPA-EFE/Shutterstock “The overarching question we always try to answer is whether and to what extent human-induced climate change altered the likelihood and intensity of the event,” says Friederike Otto, a physicist at the Grantham Institute for Climate Change and the Environment in London. Quantifying how much of the blame for extreme weather events and the damage caused can be attributed to human-generated greenhouse-gas emissions is complex. It starts with modelling what the climate would be like without the estimated 50% increase in atmospheric carbon dioxide that has occurred since pre-industrial times (see go.nature.com/3jeqwae), then comparing the difference with data from current climate models. Climate models are therefore at the core of attribution science. These are computational simulations of Earth’s climate, applying mathematical equations that represent the laws of physics — the conservation of mass, energy and momentum — to real climate data. Models allow scientists to study the complex processes and interactions that shape climate and weather at various points in time and space, and the effects of changes, such as increasing atmospheric CO2. In climate models, one particular equation is key: the Navier–Stokes equation, which describes the forces acting on a fluid particle. “So you have the Coriolis force, you have gravity, you have friction, and that equation is the basis of every single climate model,” Otto says. But no two climate models are alike. “At the core they’re all the same, but they might have a different spatial resolution,” says Sarah Perkins-Kirkpatrick, a climate scientist at the Australian National University in Canberra. That resolution can make a world of difference, especially when it comes to small-scale meteorological processes. We can’t resolve clouds, for example, unless we’re using climate models that are less than four cubic kilometres in resolution, Perkins-Kirkpatrick says. “The finer the resolution, the better we can represent those processes, which are important.” Climate models are technically global but each one is refined in its own way to most accurately represent a particular region or climate process, Otto says. “The UK Met Office one, for example, they adjust the parameters so that the model does give a very good representation of the climate in the UK, and that is usually to the detriment of somewhere else in the world,” she says. For example, until a few years ago, the climate model used for the United Kingdom didn’t describe the monsoon over India. “The models are getting better, and they are not quite so shocking any more, these trade-offs,” Otto says, although low- and middle-income countries are still under-represented in climate models3. Climate of change Climate models have improved with more data and more computing power, and the methods have also evolved over time. But Otto says the biggest advance that has happened during her career has been in policy, not technology. When she started as a researcher, most climate-modelling centres made it difficult for external researchers to use their climate-model data. But that soon changed when climate models and data were made centrally available, and “you suddenly had all the climate models in the world at your disposal”, she says. “When we started, we used one or two models that we could get, but now we sometimes use up to 70 different models, and that makes a huge difference.” In 2023, wildfires spread rapidly through the village of Kraps near Fier, Albania. Credit: Adnan Beci/AFP via Getty Inequity also affects the accuracy of climate models, because they rely on weather data — both historical and contemporary — and some regions are better resourced with meteorological infrastructure than are others, says Delta Merner, an environmental scientist at the Union of Concerned Scientists in Baltimore, Maryland. “There also are methodological gaps, particularly in under-resourced regions, where there’s not high-quality baseline data,” she says. “Without that baseline data, you’re not able to do the attribution science, or you’re not able to do it at the scale that the legal questions might require.” Merner is currently working on a research project using machine learning to create synthetic data sets for under-resourced regions that lack consistent historical data, which could then aid the application of attribution science in those areas. Attributing accountability Since its emergence, climate-attribution science has broadened and diversified into multiple subfields. The oldest of those is trend attribution, which looks for the signal of human influence over long-term climate trends, such as the link between rising global average surface temperatures and increasing atmospheric greenhouse-gas concentrations. Event attribution analyses whether climate change made a particular extreme event — a flood, storm or heatwave, for example — more likely to happen or more intense. Climate models vary in their ability to model various extreme events, which can make it easier or harder to detect evidence of human-induced global warming. “Temperatures are easy,” says retired atmospheric scientist David Karoly at the University of Melbourne, Australia. “Particularly increases in extreme temperatures and the frequency of extreme temperatures; there’s been so much attribution of that that it’s actually quite difficult to get a paper published on that now.” Other extreme events such as storms, cyclones and fire weather are more challenging, either because those processes are not as well-represented in regional-scale climate models or because there are so many variables involved. Source attribution aims to pin the responsibility for an impact to a source, such as a major emitter or nation. Lliuya chose to sue RWE because, at the time of the case, the company was Europe’s single largest emitter of greenhouse gases, and estimated to have contributed 0.47% of global industrial greenhouse-gas emissions since the start of the industrial age (see go.nature.com/3jb9apw). Although 0.47% seems like a small fraction, it’s highly significant — something that the court decision also recognized, Walker-Crawford says. The frequency of wildfires in Greece is increasing. Credit: Athanasios Gioumpasis/Getty
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Arguments for blind peer review also need to be recognized
Daniele Roberto Giacobbe
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Your News feature highlights the view that including reviewers’ names in peer-review reports could be a way to improve the quality of those reviews (see Nature 644, 24–27; 2025).
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How a self-taught biologist transformed nature writing — and inspired Darwin
Gareth Thompson
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A Year with Gilbert White: The First Great Nature Writer Jenny Uglow Faber & Faber (2025) The first person to identify harvest mice (Micromys minutus), Gilbert White was an eighteenth-century English curate and naturalist who has been called the ‘father of ecology’. Yet records from his student days show that he was not so much a quiet country gentleman as a lad about town, losing money at cards and buying fancy waistcoats. In her grandly illustrated book A Year with Gilbert White, historian Jenny Uglow looks between these extremes to investigate who White really was. She depicts a self-taught biologist who not only enjoyed wining and dining, but also took natural history out of stuffy dissecting rooms and into the wild. Spurning the dry descriptions of wildlife commonly used at the time, White’s only book, The Natural History and Antiquities of Selborne (1789), brought colourful character to its scientific records of plants and animals. In doing so, it transformed the art of nature writing. Swarming bees and greedy sheep Born in 1720, White was educated at the University of Oxford, UK, before settling at The Wakes — his family home in Selborne, UK — in around 1757. Then, from 1768, he worked for 25 years on his Naturalist’s Journal, a columnar diary in which each page covered a week of observations on fruit and vegetable experiments, local creatures and weather conditions. White’s daily entries in Selborne were often haiku-like in their simplicity. He described “vast rocklike, distant clouds” or simply stated “Bees swarm much. Sheep are shorn.” Gilbert White added entries to his Naturalist’s Journal every day for 25 years. Credit: Culture Club/Getty Uglow’s book examines one year of journal entries, from 1781. She chose this year for two reasons: it was the mid-point in White’s writing of his book, and a year after Timothy the tortoise arrived, a pet inherited by White that was later found to be female. Timothy often featured in the journal entries, being suspected of amorous longings whenever it wandered off. Uglow compares White’s year in nature with personal sightings at her own home in the Lake District, UK. In January, centuries and miles apart, White logs the chatter of nuthatches (Sitta spp.) while Uglow searches for eelworms (nematodes). Originally, Uglow thought of toadflax (Linaria spp.) as a weed, but White’s delight in its loveliness makes her reconsider. They share a gardener’s irritation with field mice. They each find beauty in autumnal beeches (Fagus spp.). Tulips in both of their gardens are destroyed — White’s by rain, Uglow’s by greedy sheep about whom she jibes, “They have left the daffodils, in disdain”. Should we treat rivers as living things? Selborne was not a safe haven for animals, it was a working community. For low-paid labourers, it was a case of human rights over nature’s rites. Birds were routinely shot if they were harmful to crops or livestock. “The air crackles with fear and rage,” writes Uglow, as she relays White’s account of a farmer and his hens tormenting a captured hawk to death. Uglow also traces the publication of White’s book from its germination to its blossoming. It has remained in print since 1789 and came about when White realized the literary potential of the letters he’d written to fellow naturalists Daines Barrington and Thomas Pennant. For publication, he revised these old letters and added entries from his journals to give an intricate view of Selborne’s natural world. The work inspired a youthful Charles Darwin, who went on a pilgrimage to Selborne in 1857. But perhaps White’s greatest legacy lies in the chronicling of avian sights and sounds. He kept lists of which birds sang until midsummer and which all year round. Detecting the nocturnal stone-curlew’s cry, he surmised that night-time fliers sent noisy signals to keep their flocks together after dark. Birdsong so obsessed White that he identified three different species of leaf warbler (the chiffchaff (Phylloscopus collybita), wood warbler (Phylloscopus sibilatrix) and willow warbler (Phylloscopus trochilus)) by their tunes. Birds from Gilbert White’s journals feature in a stained-glass window in a Selborne church.Credit: RDImages/Epics/Getty
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Autism is on the rise: what’s really behind the increase?
Helen Pearson
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On 16 April, Robert F. Kennedy Jr held a press conference about rising diagnoses of autism. The US Health and Human Services (HHS) secretary pointed to new data showing that autism prevalence in the United States had risen steeply from one in 150 eight-year-olds in 2000 to one in 31 in 2022. He called it an “epidemic” caused by “an environmental toxin” — and said he would soon be announcing a study to find the responsible agent. The next month, the US National Institutes of Health (NIH), part of the department that Kennedy leads, announced the Autism Data Science Initiative (ADSI). The initiative offered up to US$50 million to fund studies on the causes of autism. The winning applications are expected to be announced in September. Usually, big investments in research are welcomed by scientists — but not this time. Many were dismayed that these developments seemed to ignore decades of work on the well-documented rise in autism diagnoses and on causes of the developmental condition. Although Kennedy said that environmental factors are the main cause of autism, research has shown that genetics plays a bigger part. Population studies1 have linked a handful of environmental factors — mostly encountered during pregnancy — to increased chances of autism, but their precise role has been hard to pin down. More than anything, research has shown that the drivers of autism are fiendishly complicated. “There will never be a sound-bite answer to what causes autism,” says Helen Tager-Flusberg, a psychologist who studies neurodevelopmental conditions at Boston University, Massachusetts. How to make America healthy: the real problems — and best fixes The rise in prevalence, many researchers say, is predominantly caused by an increase in diagnoses rather than a true rise in the underlying symptoms and traits. “We don’t see an epidemic of autism, but we see an ‘epidemic’ of diagnoses,” says Sven Bölte, a specialist in child and adolescent psychiatric science at the Karolinska Institute in Stockholm. Researchers are concerned that Kennedy, an anti-vaccine advocate, will use the ADSI to promote the disproven idea that vaccines are linked to autism. Kennedy’s comments prompted equally strong reactions from autistic people and autism groups, says Alycia Halladay, chief science officer at the Autism Science Foundation, a non-profit research and advocacy group in New York City. Autistic people have a wide range of traits and symptoms — that means that many live and work independently, whereas others need intensive support. Some people want more research into the causes, she says, and others don’t. But many people in the autism community found it demeaning and offensive when Kennedy said at the press conference that “these are kids who will never pay taxes, they’ll never hold a job”. These factors do not determine a person’s value, Halladay says — and many autistic people are employed and pay taxes. Scientists and autistic people alike are also concerned that the administration of US President Donald Trump is actually cutting the overall amount of money going towards autism research and support for autistic people, including through cancelled or delayed grants. “Everyone is really, really upset that money is being taken away from these important research projects,” Halladay says. What explains the rise? Many studies suggest that the prevalence of autism is rising, and not just in the United States. The trend has been observed in other high-income countries, including the United Kingdom, Denmark, South Korea and Japan. “Everywhere people are doing research and are looking at the numbers, [they] are going up,” Bölte says (see ‘Tallying autism diagnoses’). In some less wealthy countries, however, a lack of health services and data mean that prevalence is difficult to assess. Source: Autism and Developmental Disabilities Monitoring NetworkSource: Autism and Developmental Disabilities Monitoring Network There are several reasons to think that a rise in diagnoses explains a large part of this trend. One is that the diagnostic criteria have changed over time in two periodically updated tools used by health professionals: The Diagnostic and Statistical Manual of Mental Disorders (DSM), used mainly in the United States, and the International Classification of Diseases (ICD). These describe autistic people generally as showing differences in social interaction and communication, as well as having ‘restricted and repetitive behaviours and interests’. But until the early 1990s, the manuals had a narrow definition for autism, says Diana Schendel, an epidemiologist who studies autism at Drexel University in Philadelphia, Pennsylvania. For instance, the third edition of the DSM recognized autism only in young children and required that they meet a minimum number of criteria. Updated versions of both handbooks — ICD-10 in 1990 and DSM-IV in 1994 — broadened the diagnostic criteria so that they could be applied to people with fewer symptoms and of different ages. “That dramatically changed the opportunity for individuals to be classified under the autism umbrella,” says Schendel. In 2013, DSM-V dropped some separate diagnoses, such as Asperger’s syndrome, and subsumed them under the term autism spectrum disorder. Autism is commonly diagnosed with co-occurring conditions, such as intellectual disability or attention deficit–hyperactivity disorder (ADHD). How to be a brilliant ally to your neurodivergent lab mate A 2015 study that Schendel co-authored tried to quantify the causes of increased autism prevalence among Danish people born between 1980 and 1991, and diagnosed up to 2011. The authors estimated that 60% of the increase could be explained by changes in the early 1990s to diagnostic criteria and to the way in which diagnoses were reported to national health registries2. Diagnoses have also risen as health professionals have adjusted how they interpret and apply the criteria, and as they have adopted improved standardized diagnostic tools, such as structured interviews and observations. Eva Loth, a cognitive neuroscientist at King’s College London, says that she now diagnoses people in research projects whom she would have excluded ten years ago. “Our understanding of what autism is has changed,” says Loth. The other change that has turbocharged diagnoses, researchers say, is increased awareness of autism and declining stigma among teachers, health professionals and the broader public, alongside increased availability of diagnostic and support services. Parents are more likely to observe signs of autism in children and are often incentivized to seek a diagnosis if it can help their child to access support, such as at school. “Where before a child might be classified as difficult, problematic in a classroom, now they might go seek a diagnosis,” says Nick Puts, who studies neurodevelopment at King’s College London and is autistic. Children are also receiving diagnoses at a younger age than in the past. More adults are seeking diagnoses, and they have become more common in girls and women, in whom autism has historically been overlooked. Bölte argues that the high demands of modern schools — such as extensive group work and digital information — could also play a part. “The learning environment is extremely complex today,” he says, “and there’s more and more children with maybe lesser traits or symptoms who are just kind of overwhelmed.” Similarly, more adults — navigating a highly complex world — might be seeking help and advice, leading to more autism diagnoses. How much of the rise in autism is accounted for by increased diagnoses and awareness? “It’s certainly the vast majority,” Schendel says, although the exact proportion is difficult to calculate. How prevalent is autism now? The figure that Kennedy cited — a prevalence of one in 31 among eight-year-olds — stems from an April report by the Autism and Developmental Disabilities Monitoring Network3, a US surveillance programme that tallies autism in children using health and education records (see ‘Autism prevalence across the United States’). These show who has received a diagnosis and who is eligible for autism-related education. The results from this type of study are sometimes called registry or administrative prevalence, because they are based on administrative databases. Source: Autism and Developmental Disabilities Monitoring NetworkSource: Autism and Developmental Disabilities Monitoring Network But some researchers view such studies with caution, says Damian Santomauro, a mental-health epidemiologist at the University of Queensland in Brisbane, Australia. Identification of autism can come from various sources, including psychiatrists, psychologists and educational settings. Some children who have extra behavioural or educational needs might be included in an administrative database, but would not meet stringent criteria for diagnosis in an independent clinical evaluation, Santomauro says. Conversely, some people with undiagnosed autism might be excluded from registries. A more accurate way to estimate prevalence is through a population survey, in which researchers screen everyone in a representative group of children or adults for autism. Santomauro led the most recent report on autism by the Global Burden of Disease study (the largest scientific project on impacts of health conditions), which is based only on survey data. This estimated that autism spectrum disorder had a prevalence of one in 127 people globally (less than 1%) in 2021. That’s 62 million people overall4. How to speak to a vaccine sceptic: research reveals what works A long-term study of Swedish children, published this year, compared registry and survey prevalence in children who were born between 1993 and 2001. It found that the prevalence of autism symptoms that parents reported when their children reached 18 had remained stable, even as the prevalence of registered diagnoses had gone up5. And most of the increase in prevalence seen in studies comes from diagnoses of autistic people who do not have language impairment or a co-occurring intellectual disability, Tager-Flusberg says, whereas numbers of diagnosed autistic people with these conditions have changed little, if at all. All of this adds weight to the argument that spiking autism statistics are driven mostly by improved detection and diagnoses. But Santomauro says that other high-quality surveys have made him think twice. A study published in 2020 that used rigorous survey methods reported a prevalence of more than 3% in five-year-old children in Japan — higher than previous estimates for autism in some other Asian countries6. So, although Santomauro agrees that most of the rise in autism is explained by increased detection and diagnosis, he says it remains possible that something could be pushing up “true prevalence” as well. But what? What causes autism? Researchers have been hunting for the causes of autism for decades — and have run up against difficulties at every step. “We just don’t really understand a lot about how any human brain functions,” says James Cusack, chief executive of Autistica, a UK autism research and campaigning charity in London, who has worked in autism research and is autistic. “So trying to find causal mechanisms for autism is, I think, much harder than people thought it was going to be 20 years ago.” One broad conclusion to emerge from the available data is that genetics plays a huge part. “Family-history risk is probably the strongest risk factor there is,” says Schendel. Researchers capture the genetic contribution using measures of heritability – an estimate of how much of the differences in autism traits between individuals can be explained by inherited genes rather than by environmental factors. A large, five-country study7 published in 2019 estimated the heritability of autism as about 80% — equivalent to the heritability of height. For comparison, the heritability estimates for depression are roughly 30–50%. Identifying the individual genes involved, however, has proved tough. “The genetics themselves are wildly complex,” says Craig Newschaffer, an autism researcher at Pennsylvania State University in University Park. Researchers have sought genes by comparing the genomes of autistic people and people who are not autistic in families and in bigger population studies. These have helped to pinpoint a selection of rare genetic variants — variations in DNA sequence — that cause a relatively large increase in the chances of autism. Many of these are de novo mutations that probably arose in a sperm or egg cell and were passed to a child. These large-impact variants are thought to be a major driver of autism in an estimated 10–20% of autistic people. But “the genetic architecture is very different from one individual to another”, says geneticist Thomas Bourgeron, who studies autism at the Pasteur Institute in Paris. Researchers have also found that hundreds, perhaps thousands, of common variants have a tiny effect individually — making them hard to pinpoint — but a big effect when combined. If someone has enough variants, they could end up with symptoms and a diagnosis. After genetics, environmental factors are “a smaller slice of the pie” in driving autism, Schendel says, although there is debate about the size of the slice. Some researchers argue that the influence of environmental factors is vanishingly small, and others disagree. Most research suggests that any environmental factors exert their influence before birth, however, and studies have convincingly shown no link to vaccines8,9. Robert F. Kennedy Jr held an April press conference about the increase in autism prevalence.Credit: Elizabeth Frantz/Reuters Many studies suggest that older parental age — for mothers or fathers — is linked to an increased likelihood of autism in children10. The average childbearing age has been increasing in many high-income countries, so this could be playing a small part in increasing autism prevalence, researchers say. One possible explanation is that children of older parents are more likely to have de novo mutations than are children of younger parents. Infections during pregnancy have also been linked in many studies to a greater chance of autism, as has exposure to air pollution before birth. For instance, a US study published in June, involving more than 8,000 children and their mothers, found that exposure to higher levels of ozone was associated with autism11.
Nature DOI suffix ≠ "/s...": Not a research article
‘A double-whammy problem’: how plastic dust is altering natural processes
Saima Sidik
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Microplastics can degrade in the environment to form plastic dust.Credit: pcess609/Getty Researcher Karin Kvale first became interested in plastic pollution when she was living in Kiel, Germany, where her young children spent part of their school days on Falckenstein beach. “Every day they would come back with their pockets full of plastic fragments,” she says. That was about five years ago, and, as an Earth-systems modeller, Kvale was intrigued by the idea that shards of degrading plastic might have become prevalent enough in nature to begin altering Earth systems. At the time, this concept was understudied, particularly in the oceans, on which Kvale focused her efforts. Nature Spotlight: Climate change In 2021, Kvale relocated to New Zealand and launched a consultancy called Aotearoa Blue Ocean Research, in Lower Hutt. She is now part of a community of scientists who study the plastic cycle — how plastic enters Earth systems, moves through the environment and affects its surroundings. As fossil-fuel derivatives, plastics are made of refined carbon. By 2015, about 6.3 billion tonnes of plastic waste had been generated, with around 79% of this accumulating in landfills or the natural environment, where it breaks into ever smaller pieces1. Each year, plastic production increases exponentially: the total weight of carbon in plastic has surpassed the mass of all animals combined, and is likely to equal the mass of all bacteria by 2095 (see ‘Litter legacy’)2. Source: Adapted from Fig. 3 of ref. 2 By some estimates, plastic production contributes at least 4% of global greenhouse-gas emissions. However, once plastic enters the environment, it’s less well known how it affects Earth’s carbon cycle — the process that moves carbon between living organisms and the soil, oceans and atmosphere. As plastic degrades, it seeps into these environments, where studies suggest it interferes with crucial systems that regulate atmospheric carbon dioxide and stabilize global temperatures3–5. After environmental exposure, plastic can break down into dust, which extends its reach, according to environmental biogeochemist Janice Brahney at Utah State University in Logan. “Once in the atmosphere, it can get anywhere,” she says. In circulation Each year, the world’s oceans pull around 10 billion tonnes of carbon from the atmosphere down towards the sea floor, through a process called the biological carbon pump6. The pump is facilitated, in part, by phytoplankton — tiny photosynthetic organisms that build their bodies out of atmospheric CO2 dissolved in the sea’s surface. When phytoplankton die, their bodies drift to the bottom of the ocean as a blizzard of organic particles that researchers call marine snow. Once this carbon is buried in sediment on the sea floor, it is stored away and no longer contributes to atmospheric warming. Moored fishing boats in Madura island, Indonesia, near a beach full of plastic waste.Credit: Suryanto Putramudji/NurPhoto via Getty The past five years have seen a flurry of papers investigating how ocean plastic might slow down this biological carbon pump. Phytoplankton have been shown to stick to buoyant waste plastic, which reduces the speed at which marine snow sinks7. At the same time, the carbon found in plastic provides a food source for marine bacteria. As these bacteria feed on plastic and proliferate, they use up key nutrients from the ocean that are then unavailable to phytoplankton. This could reduce phytoplankton populations and limit the fall of marine snow. However, the question remains: can plastic weaken the biological carbon pump enough to reduce the amount of carbon that is stored and make a difference to global warming? Kvale thinks the answer is ‘no’. The biological carbon pump is not a one-way street, she explains. Rather, ocean circulation brings some of the carbon back up to surface waters, where it can re-enter the atmosphere. As the climate warms, this ocean circulation is expected to weaken, meaning that less carbon will be carried back to the surface. But by Kvale’s calculations8, weakening circulation actually makes the carbon pump much more effective, outweighing any decrease in effectiveness caused by plastic. Over the next 100 years, “plastic pollution is really going to have a minor or negligible influence on how carbon is stored in the ocean”, she says. But that assessment depends on how much the circulation changes. According to biogeochemist Aron Stubbins at Northeastern University in Boston, Massachusetts, “ocean circulation is really hard to predict”. Storms are expected to increase with climate change, so this could also compensate for weakening circulation, he points out — because stormy surface waters can force biological material downwards. Stubbins says that, by his estimates, plastic could slow down the biological carbon pump by up to 25% by the end of the century, in the absence of other large changes. This, he says, “is why we got concerned and wrote a proposal to say we should figure out if this is real”. He is now gearing up to test how ocean plastic affects dissolved carbon and the biological carbon pump, having received a grant in April to apply climate models to real-world observations of plastic concentrations in the ocean. “It’s one of those proposals you get funded and you hope you’re wrong,” he says. Hydrologist and geomorphologist Anne Jefferson collects beach sand that she will analyse for microplastics.Credit: Maddie Cross There’s good evidence that plastic slows down the sinking of marine snow, says environmental scientist Xia (Alice) Zhu at the Memorial University of Newfoundland in St John’s, Canada, who has co-authored a systematic review on how the plastic cycle affects climate change9. But sorting out how slower marine snow will affect carbon storage in different oceans, and whether circulation patterns will play a part, requires more work. “We need more research into this before we write [plastic] off as insignificant,” she says. Global spread Although the impact of plastic on the oceans is still up for debate, plastic is having tangible effects on land, where it forms dust on the ground and in the air. Collectively, about 1,000 tonnes of plastic fall each year from the atmosphere onto lands in the western United States that are protected and relatively uninhabited, such as the Grand Canyon. That is equivalent to between 120 million and 300 million plastic water bottles, Brahney and her colleagues estimate10. Studies suggest that all this plastic dust alters the path of sunlight on its way to and from Earth’s surface, changing the amount of energy that’s available to heat the planet2,9. But whether the net effect will be that atmospheric plastic warms or cools Earth is still under investigation. In some of the most comprehensive work on the subject so far, scientists incorporated the effects of plastic dust into a climate model and found that warming or cooling depends on how high into the atmosphere the plastic has spread4. Although that study was based on non-pigmented plastics, most real-world plastic comes in many different colours, some of which reflect sunlight and some of which absorb it, Brahney says. This makes the net effect tough to sort out, but she and her collaborators are working on it. Airborne plastic also carries other risks. It has been found in natural environments such as forests, where it is trapped by the broad surfaces of leaves. When leaves fall to the ground in the autumn, they might be delivering plastic to the soil ecosystem, turning forest floors into plastic hot spots, suggests soil chemist Collin Weber at the Technical University of Darmstadt in Germany. View of a beech-tree leaf under a high-resolution microscope, showing red microplastic particles (inset) on the surface.Credit: Collin Weber
Nature DOI suffix ≠ "/s...": Not a research article
David Nabarro obituary: global-health leader who fought malnutrition, malaria, Ebola and COVID-19
Anthony Costello
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Credit: Brendan McDermid/Reuters Physician and international-health strategist David Nabarro, whose career included posts at the UK Department for International Development (DFID), the World Health Organization (WHO) and the United Nations, played a central part in tackling some of the world’s most pressing health crises — from malnutrition and malaria to Ebola and COVID-19. He died on 25 July at his home in Ferney-Voltaire, France. Nabarro studied nutrition at the London School of Hygiene & Tropical Medicine (LSHTM), which shaped his multidisciplinary approach to sustainable development. It later inspired the creation of his 4SD Foundation (skills, systems and synergies for sustainable development), which focuses on nutrition and building climate-change resilience, and is based in Geneva, Switzerland. In 2018, he was co-recipient of the World Food Prize for his work against malnutrition. The full lethal impact of massive cuts to international food aid Nabarro was known for his ability to take robust research evidence and translate it into practical strategies for improving the health of the world’s poorest and most vulnerable. He excelled at synthesizing complex data for senior policymakers and politicians. As the director for human development at DFID in the 1990s, he developed strong relationships with ministers from both major UK political parties: the Conservative’s Lynda Chalker and Labour’s Clare Short. One of his most notable early achievements at the DFID was persuading Short to allocate around £50 million (US$83 million) to the WHO for the creation of Roll Back Malaria — a pioneering global partnership aimed at supporting country-led efforts to combat malaria. His time at the WHO in the early 2000s was marked by rapid advancement: he became chief of cabinet to then-director-general Gro Harlem Brundtland, working on major initiatives such as campaigns against tobacco, HIV/AIDS and tuberculosis. Educated at Oundle School, UK, Nabarro studied medicine at the University of Oxford, UK, and University College London, qualifying in 1973. His first medical post was meant to be under an Oxford professor who was a friend of his father, the distinguished endocrinologist John Nabarro. But on the eve of starting, David sent word that he was in Kurdistan on humanitarian work and would not return for months — an early sign of his lifelong commitment to social justice and a career that would stretch far beyond the boundaries of conventional biomedicine. Health of people who are displaced in their own countries is a neglected global crisis At the LSHTM, his mentor in nutrition was John Waterlow, an eminent physiologist and authority on childhood malnutrition. After completing his master’s degree in nutrition, Nabarro joined the non-governmental organization Save the Children, where he led the analysis of the Kosi Hills rural development programme in eastern Nepal. He discovered that children of migrant road-construction workers had dangerously high rates of vitamin A deficiency, and he campaigned to improve both their nutrition and working conditions. While working with Stuart McNab at the UN children’s charity UNICEF, he co-developed the McNab–Nabarro growth chart — a simple tool that allowed field workers to identify severely undernourished children using only weight measurements.
Nature DOI suffix ≠ "/s...": Not a research article
Daily briefing: Tiny marsupial bounces back from near-extinction
Flora Graham
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Nature DOI suffix ≠ "/s...": Not a research article
Pig lung transplanted into a person in world first
Rachel Fieldhouse
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Credit: Xijing Hospital of the Air Force Medical University/Xinhua via Alamy A lung from a genetically modified pig has been transplanted into a person for the first time1. The recipient, a 39-year-old man in China, was brain dead, but the organ survived for nine days. At least half a dozen people in the United States and China have received organs from genome-edited pigs, including hearts, kidneys, livers and a thymus. The latest procedure suggests that almost any pig organ could be transplanted into people, researchers say. They hope that the animal organs might one day save the thousands of people who die each year while waiting for a donor organ. Lungs are the most difficult organ to transplant, says Muhammad Mohiuddin, a surgeon and researcher at the University of Maryland School of Medicine in Baltimore, who in 2022 led the first pig–heart transplant into a living person. Lungs have the most blood vessels of any transplantable organ, so they are more prone to attack from the immune system, which can lead to blood clots and tissue damage, says Mohiuddin. “I applaud their effort,” he says: “it’s a first step” towards lung xenotransplantation, the use of organs from other species in humans. US clinical trials for pig livers and pig kidneys were approved this year. Proof of concept The transplanted left lung was taken from a pig with six genomic edits that was created by research firm Chengdu Clonorgan Biotechnology in China. This included removing three genes to reduce the risk of the organ triggering an immune response and adding three human genes to protect the organ from rejection. In the proof-of-concept trial, the lung was transplanted on 15 May last year, by researchers at the First Affiliated Hospital of Guangzhou Medical University in China. Their findings were published this week in Nature Medicine. The team reports that there were no signs of rejection, infection or graft failure in the first three days after surgery. However, 24 hours after the transplant, they noticed the lung was swelling, and that the tissue was also damaged from going without oxygen for a period of time during the transplant procedure. They also observed damage caused by antibodies attacking the organ on day three and six, but noted that the damage to the lung had reduced on day nine, when the study was stopped at the request of the recipient’s family.
Nature DOI suffix ≠ "/s...": Not a research article
Fusion energy gets a boost from cold fusion chemistry
Shamini Bundell, Nick Petrić Howe
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Nature DOI suffix ≠ "/s...": Not a research article
The brain’s map of the body is surprisingly stable — even after a limb is lost
Katie Kavanagh
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The brain’s map of the body in the primary somatosensory cortex remains unchanged after amputation.Credit: Zephyr/Science Photo Library A brain-imaging study of people with amputated arms has upended a long-standing belief: that the brain’s map of the body reorganizes itself to compensate for missing body parts. Previous research1 had suggested that neurons in the brain region holding this internal map, called the primary somatosensory cortex, would grow into the neighbouring area of the cortex that previously sensed the limb. But the latest findings, published in Nature Neuroscience on 21 August2, reveal that the primary somatosensory cortex stays remarkably constant even years after arm amputation. The study refutes foundational knowledge in the field of neuroscience that losing a limb results in a drastic reorganization of this region, the authors say. “Pretty much every neuroscientist has learnt through their textbook that the brain has the capacity for reorganization, and this is demonstrated through studies on amputees,” says study senior author Tamar Makin, a cognitive neuroscientist at the University of Cambridge, UK. But “textbooks can be wrong”, she adds. “We shouldn’t take anything for granted, especially when it comes to brain research.” The discovery could lead to the development of better prosthetic devices, or improved treatments for pain in ‘phantom limbs’ — when people continue to sense the amputated limb. It could also help scientists working to restore sensation in people who have had amputations. Mapping cortical plasticity Study first author Hunter Schone, a neuroscientist at the University of Pittsburgh in Pennsylvania, says that previous reports from some people with amputations had led him and his colleagues to doubt the idea that the brain’s map of the body is reorganized after amputation. These maps are responsible for processing sensory information, such as touch or temperature, at specific body regions. “They would say: ‘I can still feel the limb, I can still move individual fingers of a hand I haven’t had for decades,’” Schone says. To investigate this contradiction, the researchers followed three people who were due to undergo amputation of one of their arms. The team used functional magnetic resonance imaging (fMRI) to map the cortical representations of the body before the surgery, and then after the amputation for up to five years. It is the first study to do this. Before their amputations, participants performed various movements, such as tapping their fingers, pursing their lips and flexing their toes while inside an fMRI scanner that measured the activity in different parts of the brain. This allowed the researchers to create a cortical ‘map’ showing which regions sensed the hand. To test the idea that neighbouring neurons redistribute in the cortex after amputation, they also made maps of the adjacent cortical area — in this case, the part that processes sensations from the lips. The participants repeated this exercise several times after their amputation, tapping “with their phantom fingers”, says Schone. Famous ‘homunculus’ brain map redrawn to include complex movements The analysis revealed that the brain’s representation of the body was consistent after the arm was amputated. Even five years after surgery, the cortical map of the missing hand was still activated in the same way as before amputation. There was also no evidence that the cortical representation of the lips had shifted into the hand region following amputation — which is what previous studies suggested would happen. Makin says their study is “the most decisive direct evidence” that the brain’s in-built body map remains stable after the loss of a limb. “It just goes against the foundational knowledge of the field,” she says.
Nature DOI suffix ≠ "/s...": Not a research article
Climate models need more frequent releases of input data — here’s how to do it
Vaishali Naik, Paul J. Durack, Zebedee Nicholls, Carlo Buontempo, John P. Dunne, Helene T. Hewitt, Claire Macintosh, Eleanor O’Rourke
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Global warming has accelerated in the past decade, with the world’s average surface temperature in 2024 surpassing pre-industrial levels by 1.5 °C1. Although, so far, human activities have been largely responsible2, the factors behind recent record-breaking temperatures remain to be understood. Are human activities amplifying warming faster than scientists expected, or might natural changes in the Earth system have a stronger role than presumed? Researchers and policymakers need answers fast. To quantify the causes and effects of climate change, the climate-research community relies mainly on three types of information sources. First, model simulations provide insights and predictions on timescales from one year to decades, through initiatives such as the World Climate Research Programme’s Coupled Model Intercomparison Project (CMIP)3 and Explaining and Predicting Earth System Change activities4. Second, snapshots of global climate are tracked through various observed and model-based indicators5. Third, climate reanalyses such as ERA5 (see go.nature.com/3hxepxf) and MERRA-2 (see go.nature.com/41x7k24), which assimilate historical observations into models, are widely used for monitoring and research to understand how the Earth system has evolved. Google AI model mines trillions of images to create maps of Earth ‘at any place and time’ Although these and other analyses by climate researchers use the most up-to-date observations, model simulations tend to lag. Models are driven by estimates of natural and human influences on Earth’s climate system — known as forcings data — that are based on analyses of a wide range of observations, covering temperatures, greenhouse gases and more. Almost all Earth system models use the same forcing data sets, which are formally updated every five to seven years to support successive phases of the CMIP6. Thus, the inputs to drive the models are based on older or approximate data that might not reflect conditions today. Annual updates to the forcing data sets are urgently needed to enable researchers to understand and explain unfolding changes in the world’s climate in near-real time7. Here, we and our co-signatories (see Supplementary information) set out how that can be done. Recognize the need for speed Forcing data sets are built using a variety of climate observations and products derived from them (see Supplementary information). The data sets include: emissions of greenhouse gases and aerosols; concentrations of greenhouse gases and substances that deplete ozone; aerosols ejected by volcanoes; as well as measures of incoming solar radiation, land-use changes, sea surface temperatures and sea ice. The resulting files must be prepared in standard data formats and disseminated on a stable, accessible and robust platform. All of this takes time. Climate scientists push for access to world’s biggest supercomputers to build better Earth models Over the past decade, the production of forcing data sets has become more coordinated. Before the CMIP’s fifth phase (CMIP5; 2008–13), they were developed in an ad hoc way, mostly in-house at modelling centres. CMIP6 (2014–21) spawned a system under which the data sets were developed by specialists based elsewhere8. This work was brought together in 2022 under the CMIP Forcings Task Team (see go.nature.com/3jxaqgf) to support the ongoing CMIP79. Earlier this year, the latest forcings data sets were delivered10, most of which span from 1850 to the early 2020s. But climate conditions can vary a lot over five to seven years, influenced by volcanic eruptions, large wildfires, or even pandemics or policy interventions. Annual updates to forcings data sets would better align model simulations and observations. Progress in four areas is needed for this to happen. Secure, reliable observations A sustained and robust stream of observations is essential for accurate and timely updates. Three actions are needed. First, researchers and governments must enhance and maintain comprehensive long-term global observational networks to ensure consistent coverage of climate-relevant variables. Second, institutions around the world should align observational efforts, share data, enhance data availability and quality, and coordinate funding. Third, a sustainable source of funding is needed for the long-term production of forcings data sets, including the augmenting of existing work on data-format and quality standards, and documentation that enhances downstream use. Balance research and applications The generation of forcings data sets is a continuous process, involving research and refinement before the final products are compiled and disseminated. The data sets have a range of uses, from real-time applications such as air-quality forecasting and the detection and tracking of emission events, including those from volcanic eruptions and wildfires, to comprehensive historical analyses. Each use has different requirements. Governments must stop hoarding climate data
Nature DOI suffix ≠ "/s...": Not a research article
Glitch cop
Andrew Kozma
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The cop glitched in and out as he wrote out the ticket. “Please remove yourself remove re- yourself move from the car-car.” “But I haven’t done anything, officer. I’m just going to pick up my son.” The cop’s face flicked between an indulgent smile and the cold stare you might find on the other side of a gun. This kind of AI-powered police force was new, a rapid response to the holo-cop implementation that everyone had ended up ignoring because they had no physical presence. This cop, well, he bent towards me and his breath tickled my beard. The smell was old doughnuts and burnt coffee. “If-if you fail to fail comply fail, I will-ill be forced to use alternate different exotic means.” The cop patted a lump at his waist that did not look like a gun or a taser. Whatever it was seemed to bubble and quake, nervously. I got out of my car. Without moving his legs, the cop backed away, his ticket book at the ready. “Licence and regi-regi-regi-regi —” I cut him off. “They’re in the car.” The cop stared at me blankly. His pupils were different sizes, then were gone altogether. “Do you want me to go back into the car?” The cop’s head twisted this way and that, movement erratic and quick as a spider. “The sus-suspect is being diff- being difficult-cult. No licence or or or registration. Vehicle determined abandoned.” Read more science fiction from Nature Futures The cop’s last words came out quick and clipped, as if the silence between each had been artificially removed. “Wait what?” I said, but by that time I could already hear the street opening up. I turned just in time to see my car descend into the road, a new asphalt layer sliding into place above it, the edges briefly heated so they melted seamlessly with the rest of the street. For a moment, I could hear the machinery beneath the ground working as it took my car farther and farther away from me, down to some storage garage deep beneath the surface. The cop turned to a fresh ticket sheet and began to write. “What was your mo-mo-motivation for jaywalk birdwalk crow-perambulation?” I wanted to scream. I wanted to punch the cop right on his glitchy, pixel-stubbled chin. A car passed by, the man at the wheel carefully turning his head to look in the other direction. A small group of kids stood at the nearest corner with skateboards in their hands, not even bothering to hide their staring. Of course, kids were pretty safe — nothing to be gained by writing them up because they couldn’t pay any fines. “I wasn’t jaywalking, officer. I was driving and you pulled me over because 
 well, you never actually told me why you stopped me.” The cop glitched, for a second having four arms instead of two; two heads instead of one, neither of which were looking at me. He spoke clearly, but in two different voices. “Where is your car?” Fighting to stay calm, I said: “You declared it abandoned.” The cop cohered together, his edges blurring. I resisted the temptation to reach out and run my fingers along those sawtooth borders. The holo-cops were completely insubstantial, but the AI versions could produce resistance when needed, and physical objects, too. The cop’s pen scratched in his ticket book. He spoke in a new, broken way. “Iffff you don’t haaaave a car, you cooooouldn’t beeeee driving.” “But I wasn’t jaywalking, either.” This wasn’t the first AI cop I’d seen. But like the growing crowd of kids on the corner, I’d always only seen them from a distance. Houston was on the cutting edge here, our mayor proudly declaring us the proving ground for the latest public-safety technologies. My neighbour Marta looked to me when she was detained for littering and I looked away. What could I do? It’s not like AI cops would listen to me any more than they would her. “If you-you-you aren’t jashehnnnaging, then why-why are you on the street on the street on the?” “I’m standing on the street because you asked me to get out of my car.” “Car? Your car? Where is your car?” Each word was like a recording playing itself back, scratchy with too much repetition. “Your car is where?” “You claimed it was abandoned.”
Nature DOI suffix ≠ "/s...": Not a research article
Emotional AI is here — let’s shape it, not shun it
Hadar Fisher
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In his World View article, Ziv Ben-Zion raises concerns about emotionally responsive artificial intelligence (AI) technologies (see Nature 643, 9; 2025). He proposes safeguards: disclosing that an AI is not human; flagging distress in the user, requiring “crisis resources” or human support; and setting clear conversational boundaries. These are all important, but will not eliminate risk.
Nature DOI suffix ≠ "/s...": Not a research article
How protein-slayer drugs could beat some of the cruellest cancers
Ken Garber
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At three years old, Evan Lindberg was diagnosed with neuroblastoma, a childhood cancer that develops in nerve tissue outside the brain. By that time, tumours had spread through his small body. Chemotherapy, radiation, immunotherapy and multiple surgeries followed. “For four years, my son never had a day off,” says Evan’s father, Gavin. “He was either in treatment or recovery. And frequently recovery was worse than the treatment.” Evan died in 2010 at the age of seven. One of Evan’s doctors, paediatric oncologist Yael MossĂ© at the Children’s Hospital of Philadelphia, Pennsylvania, has long sought improved treatment options. She has worked on neuroblastoma for more than two decades, yet despite small advances, “we really have made very little progress in developing more rational or targeted therapies”, she says. That’s true in general for childhood solid tumours. Although such tumours are less common than blood cancers in children, they account for more than half of cancer-associated deaths in kids aged 0–14 years1 in the United States. These childhood cancers differ from adult ones in their biology, and thus require distinct treatments. Yet out of more than 180 cancer drugs that have received approval from the US Food and Drug Administration (FDA) since 2000, fewer than a dozen have been developed specifically for children. ‘Dark proteins’ hiding in our cells could hold clues to cancer and other diseases MossĂ© is now placing her hopes on laboratory-made molecules that hijack the cell’s protein-disposal machinery. Typical drugs gum up the business end of a protein to inhibit its activity. PROTACs, short for proteolysis-targeting chimeras, eliminate the protein altogether. They do this by tethering disease-associated proteins in human cells to an enzyme that tags the protein for destruction. Enabling these fateful encounters — which biochemist Alessio Ciulli at the University of Dundee, UK, calls a protein “kiss of death” — expands the list of possible drug targets. Of the roughly 3,000 proteins known to cause cancer and other diseases, drugs approved by the FDA, for example, target fewer than 700. Most of the rest are considered ‘undruggable’, because there’s no suitable pocket in which a drug can attach and block the protein’s activity. But a PROTAC merely has to grab on; the cell’s existing machinery does the rest. At least 30 PROTACs have entered clinical trials since 2019, when testing in humans began, mainly for cancer, but also for Parkinson’s disease, inflammatory disorders and pain. The three most advanced, for breast cancer, prostate cancer and leukaemia, are in phase III trials, the last step before market approval. Most degrade proteins that are targeted by already approved drugs. Evan Lindberg, pictured on the left with his father Gavin, died of cancer at age seven. Gavin is now a patient advocate, working with paediatric oncologist Yael MossĂ© (right) and others to develop treatments for childhood cancers.Credits: Wendy Lindberg, Children’s Hospital of Philadelphia MossĂ© and her colleagues are doing something different — and riskier — by going after cancer proteins that have never been drugged before. She co-leads a team that is developing PROTACs against undruggable proteins responsible for neuroblastoma and other childhood cancers, including those of the brain, liver and bone. All of the cancers form solid tumours. MossĂ© expects the team’s first PROTACs to enter clinical trials in the next couple of years. Other researchers are similarly aiming to degrade proteins that have long been considered untouchable, in cancer and beyond. “Showing that you can target something brand new with this technology will be a pivotal moment for the field,” says chemist Nathanael Gray at Stanford University in California, co-founder of C4 Therapeutics, a protein-degradation drug company in Watertown, Massachusetts. More than a lab trick The first working PROTAC was demonstrated in 2001, when Craig Crews, a chemical biologist at Yale University in New Haven, Connecticut, biochemist Raymond Deshaies, at the California Institute of Technology in Pasadena, and their colleagues constructed one that degraded its target protein in cell fluid from frog eggs2. At the time, most scientists viewed PROTACs as a lab trick. When Ciulli started working with them in 2009, colleagues “rolled their eyes”, he recalls. “They said, ‘PROTACs? They’ll never be drugs.’” One early hurdle was making PROTACs small enough to penetrate cells. Another was designing them to grab onto the most abundant and efficient of the enzymes known as ubiquitin ligases. These enzymes, of which there are about 600 kinds, tag proteins for destruction by attaching chains of much smaller proteins called ubiquitins (see ‘Protein eliminated’). After a large effort, three papers in 2015 revealed potent PROTACs that almost completely eliminated target proteins in cells and mice3–5. “After those papers, there was no doubt that we could degrade proteins,” says Ciulli. “Now the whole world of targets could open up.” A co-author on one of the papers, Ciulli later helped to found Amphista Therapeutics, a protein-degradation company in Cambridge, UK. The papers highlighted a key advantage of PROTACs. Whereas conventional drugs must take up residence on a disease-causing protein, PROTACs engage with their target briefly, send it along for destruction and move on to the next target. This catch-and-release feature means that very small doses can last for a long time. Another advantage is that PROTACs take no prisoners. Some proteins contribute to a disease in more ways than one, but by wiping out the protein entirely, a PROTAC eliminates all possible contributions. The 2015 papers established PROTACs as a next wave of drugs. “I’ve never seen a technology that’s been more widely adopted, as quickly,” says Gray. “It’s not just little risky biotechs. All the pharma companies have advanced degrader programmes.” This scientist treated her own cancer with viruses she grew in the lab This all happened too late for Evan Lindberg. In 2010, his father entered him into one of Mossé’s clinical trials, testing an existing drug against a protein often corrupted in neuroblastoma. Evan’s cancer did not respond. The tumour also contained extra copies of the gene for a protein that is a notorious driver of childhood cancers, the transcription factor MYCN. MYCN turns genes on to make cells replicate during childhood development. Too much of it can transform otherwise curable cancers into aggressive killers through uncontrolled growth. But transcription factors such as MYCN are considered undruggable. At a meeting about MYCN in 2019, MossĂ© realized that PROTACs could be a solution. One of the founders of the PROTAC company Nurix Therapeutics in San Francisco, California, attended the meeting, and “really motivated us to think about targeted protein degradation, and to go after MYCN, to try to really do something big”, MossĂ© says. Armed with a private foundation grant, she began working with Nurix. The work expanded in 2024, when a team MossĂ© assembled along with biochemist Martin Eilers at the University of WĂŒrzburg in Germany won a large grant from Cancer Grand Challenges, a global non-profit initiative looking to tackle childhood solid tumours. The team, called KOODAC, for Knocking Out Oncogenic Drivers and Curing Childhood Cancers, also includes scientists in the United Kingdom, Austria and France and patient advocates on five continents. Among them are Gavin Lindberg and his wife Wendy who, after Evan died, established a charitable foundation that for the past decade has funded a research position in Mossé’s lab. The team is going after MYCN and four other protein targets. The goal is to find drugs that not only work, but are also more convenient than hospital infusions and cheap enough for purchase in low- and middle-income countries, where families often have to forgo or abandon treatment because of the cost. Slaying the childhood killers Three of the proteins the KOODAC team is targeting result from a type of genetic error that is often present in cancer. The crossing, breaking and mending of chromosomes can give rise to a new hybrid gene — a gene fusion — that has sequences from both original genes. The resulting fusion proteins are the direct cause of many leukaemias, lymphomas and childhood solid tumours. Two of these fusion proteins drive Ewing sarcoma and rhabdomyosarcoma, devastating childhood bone and soft-tissue cancers. The third causes a rare liver cancer. As tumour cells evolve, fusion proteins persist, making them attractive targets, says Charles Mullighan, a haematologist at St. Jude Children’s Research Hospital in Memphis, Tennessee. Mullighan and his colleagues make and test PROTACs and similar protein degraders for childhood blood cancers and brain tumours. As to whether protein degraders can cure these cancers, “there’s the potential”, says Mullighan. But he adds that one drug might not be enough. “Cancers are wily, and they can find ways around it.” In addition to KOODAC, two other Cancer Grand Challenges teams are tackling childhood solid tumours. One team brings together researchers from nine institutions across Europe and the United States to work on protein degraders and cell therapies. The other, which includes investigators at eight institutions in the United States, the United Kingdom and France, is focused exclusively on cell therapies. Such broad academic collaborations are essential to making progress on childhood cancers, the researchers say. “For paediatric-only cancers, the market is so small it doesn’t fit the commercialization plan of a traditional pharma company,” says Catherine Bollard, co-leader of the cell-therapy team and a paediatric haematologist at Children’s National Hospital in Washington DC. The PROTACtable universe No PROTACs have been approved yet. The first to enter phase III trials, vepdegestrant, developed by Arvinas in New Haven, Connecticut, degrades the oestrogen receptor that most breast cancers rely on for growth. In early March, Arvinas and its partner, Pfizer, reported that the degrader was better than a standard anti-oestrogen drug at enabling trial participants whose tumours had a mutation commonly associated with breast cancer to live longer without the disease worsening (although it did not do better in an analysis that included all trial participants). “We plan to share [trial] data with global regulatory authorities to potentially support regulatory filings,” Arvinas chief medical officer Noah Berkowitz wrote in an e-mail to Nature. Two other vepdegestrant phase III trials are under way. Meanwhile, two other PROTACs have reached phase III trials. One degrades the androgen receptor that drives most metastatic prostate cancers; the other, the BTK enzyme required by chronic lymphocytic leukaemias. Drugs against these targets are already available, but advanced cancers inevitably become resistant to them.
Nature DOI suffix ≠ "/s...": Not a research article
Could these five future agricultural innovations slow down climate change?
Nic Fleming
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A mobile plant-phenotyping device screens lettuce varieties in the Netherlands.Credit: The Netherlands Plant Eco-phenotyping Centre Humans’ collective prospects as a species don’t look great. By 2050, the global population will hit an estimated 9.7 billion, meaning there will be 1.5 billion more mouths to feed than today. Demand for animal-derived protein, with its high environmental price tag, is predicted to rise faster still. Global temperatures and atmospheric greenhouse-gas concentrations are still increasing, tree cover is shrinking, oceans are acidifying, agricultural land is being lost to salinization, and extreme weather events are becoming more frequent. Nature Spotlight: Climate change But where some see threats, others see opportunities. In May, researchers and small businesses with a range of ideas for producing food more sustainably gathered at F&A Next, a meeting on the future of food and agriculture held at Wageningen University & Research in the Netherlands. From climate-smart cultivation to breakthrough protein alternatives, a wave of innovations were revealed at the event. Globally, protein demand is projected to grow more rapidly than the population, because of rising incomes, urbanization and changing dietary preferences. Farming animals for food contributes to deforestation, biodiversity loss and around 57% of the global greenhouse-gas emissions associated with food production1. As a result, many researchers think that the only way forward is to shift to alternative protein sources. Some popular plant-based proteins come with their own environmental issues. Soya-bean production, in particular, has been linked to deforestation, biodiversity loss and increased greenhouse-gas emissions, leading researchers and entrepreneurs to investigate alternatives. Green, green grass Grassa, a start-up company based in Wageningen, is developing grass-based protein extracts for inclusion in pet food, livestock feed and, ultimately, products for human consumption, such as burgers, snack bars and dairy-free milk. “Compared to soy, grass protein has a better amino-acid profile, comparable digestibility, a lower carbon footprint and, once scaled up, can be priced competitively,” Rieks Smook, the firm’s chief executive, told the meeting. At Grassa, freshly cut grass is fed into an extruder, producing a liquid that is then heated and filtered to denature the proteins. These coagulate into a green paste containing half of the grass’s protein. Organic solvents remove fats and chlorophyll from this paste, and membrane filtration removes sugars and minerals, leaving a neutral-tasting, off-white powder that is around 70% protein. A bee collects pollen from the flower in a rapeseed field.Credit: Ying Tang/NurPhoto via Getty Crushed grass is also left over from the extrusion process. According to Grassa, cows that are given a 50:50 mix of this by-product and their standard feed produce milk with a similar nutritional profile to that from animals on a normal diet. However, their manure contains less nitrogen — potentially reducing the run-off of polluting nutrients into waterways. Smook says that the carbon dioxide footprint of grass protein is significantly lower than that of imported soya, according to a life-cycle assessment by the company. Starting next year, Grassa is planning a two-year demonstration project involving 50 farmers, and is aiming to open a full-scale production plant in 2028, initially producing protein for pet food. The company wants to launch a grass-protein extract for human consumption by 2029, but will need the approval of the European Food Safety Authority to market it as a food ingredient in the European Union. Fermented future Humans have used fermentation to preserve and transform foods for thousands of years, but now a new generation of start-up firms is using precision fermentation to make proteins with the same functional and nutritional properties as those produced by farm animals. “To a certain extent, we consider ourselves farmers,” Stephan van Sint Fiet, chief executive of Vivici, based in Leiden, the Netherlands, told the meeting. “We use crops from the land and then we make milk proteins -- but our ‘animals’ are just a little bit smaller.” Vivici uses yeast that has been genetically modified to produce ÎČ-lactoglobulin (BLG), a whey protein found in cow’s milk that is prized for its functional properties, including gelling, binding, emulsification, solubility and ability to form foams. The yeast-made BLG is an ingredient in protein drinks and snacks, and Vivici is planning to launch another product based on lactoferrin, a protein found in the milk of humans and other mammals that supports the functioning of the immune system. But there are questions over whether it is commercially viable to produce dairy proteins through precision fermentation. One estimate of the cost of scaling up such production for large-scale commercial applications puts the price tag at US$100 million at least2, depending on the volumes involved. Vivici says it is working on ways to bring costs down and that it is confident it can reach price parity with dairy-based equivalents. If production can be scaled up economically, fermentation-derived protein could have environmental benefits. Researchers at the Potsdam Institute for Climate Impact Research in Germany estimate that replacing 20% of the protein consumed in the form of meat from ruminants, such as cattle and sheep, with microbial protein by 2050 could halve deforestation and related CO2 emissions, while also lowering methane emissions3. Probiotics for plants Beyond alternative sources of protein, another way to feed Earth’s growing population sustainably is to increase crop yields, leading to lower carbon emissions by reducing the need to clear forests for agriculture. This approach has merit even when cultivation is soilless, or hydroponic. The market for ‘controlled-environment agriculture’ — which includes the production of crops in hydroponic greenhouse systems — was valued at nearly $100 billion in 2024. But, just as the microorganisms in the human gut influence health, plants have evolved to rely on bacteria and fungi in soil to thrive, using these microbes to maximize nutrient uptake and build disease resistance. This means that the crops in soilless systems develop without the support of their natural microbial partners. “There’s an enormous amount of untapped potential to improve the growth, taste and disease resistance of these crops by putting those microbes back in,” said Paul Rutten, founder and chief executive of London-based start-up Concert Bio, at F&A Next. In 2022, Rutten, who has a PhD in plant–microbe interactions from the University of Oxford, UK, began a three-year project with growers to identify the microbiomes of crops using DNA sequencing, as well as recording their growing conditions and yields. Using a machine-learning model, he highlighted correlations between the presence of specific microbes and higher yields in conditions of varying temperature, sunlight and humidity, for example. Last November, Concert Bio launched Overture A and B, two ‘biostimulant’ bacterial products made through fermentation, on the UK market for use in soilless agriculture. Rutten says that across 14 trials, lettuce growers achieved yield increases of 9.9%, on average. Trials of several candidate probiotics for tomatoes and cucumbers are under way. Bring on the bees Another way to reduce the carbon footprint of agriculture is to address insufficient pollination. Insect pollinators are crucial for the successful production of three-quarters of crop varieties. In 2022, researchers at Harvard University in Cambridge, Massachusetts, estimated that pollinator deficits reduce global yields of fruit, vegetables and nuts by 3–5%4. AgriSound, a start-up firm based in York, UK, has developed a mobile-phone-sized device that can detect low bee numbers in fields and greenhouses on the basis of the sound of their wingbeats, enabling growers to bring in more bees when needed. The technology uses artificial intelligence (AI) to detect the combinations of frequencies made by honeybees and bumblebees, and to cancel out noise (although this does not work in noisy environments, such as near major roads). The AgriSound system uses artificial intelligence to identify the sound of honeybees’ and bumblebees’ wingbeats, and thereby determine bee numbers.Credit: Robin Wilson Casey Woodward, AgriSound’s founder, took inspiration from the acoustic systems already used to identify respiratory disease on pig farms and injurious pecking in poultry farms. Woodward told F&A Next attendees that, in trials at sites where the AgriSound system identified low bee numbers, strawberry growers increased the fruit’s weight by 8.5%, sweetness by 5% and the proportion of high-quality produce by 10% by introducing extra bees, when compared with neighbouring control locations where bee numbers were left low. “We also have evidence to show that precision pollination can extend the shelf life of strawberries by about 12 hours, which reduces waste and carbon emissions as a result,” Woodward added. The company is seeking to adapt its technology to identify other pollinators and pests. Breeding better
Nature DOI suffix ≠ "/s...": Not a research article
ORCID launched more than a decade ago, but has yet to fulfil its potential
Jackson Ryan
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Researchers who track publishing trends struggle to distinguish who is who among the many empty ORCID profiles.Credit: Bim/Getty Jonas MĂŒller knows all too well the drawbacks of having a common family name. In his home country of Germany, more than half a million people share his name. He also shares it with dozens of astrophysics researchers, in Germany and abroad. That wouldn’t really be a problem if he was a carpenter, a hockey player or a nurse, but MĂŒller is just beginning his research career, working towards a PhD at the Heidelberg Institute for Theoretical Studies in Germany, where he is studying the evolution of stars. The chances that his work might be misattributed to the dozens of other ‘J. MĂŒllers’ across his discipline are high. For that reason, he signed up for ORCID. ORCID, which stands for Open Researcher and Contributor ID, was launched in 2012 as a free identification service for individuals to record their academic papers and other research activities. Researchers receive a unique 16-digit identifier that they carry with them for the entirety of their career, even if they change their name, job or institute. The platform is run by ORCID, a non-profit organization based in Bethesda, Maryland, and is funded through fees paid by member organizations. These comprise more than 1,450 stakeholders in the research ecosystem, including publishers, funders, professional associations and research organizations. Since ORCID’s launch, its lime-green logo has become a familiar sight on academic publishing websites and funding applications around the world. The service, which has some 10 million yearly active researchers — people who use it at least once a year — allows users to link publications, data sets, peer reviews, grants and other scholarly outputs in a single webpage and is integrated with many institutional repositories and publishers’ platforms. But ORCID uptake is inconsistent between fields and career stages, and many researchers aren’t using it beyond their initial sign-up. Data from ORCID show that roughly half of active global ORCID profiles include publication data, and 69% are linked to affiliation data, such as information on employment and education. Just 35% of profiles include data on both publications and affiliations, however. Stephen Porter, a higher-education researcher at North Carolina State University in Raleigh, says that although the appeal of ORCID is strong for researchers, more needs to be done to convince them to sign up in the first place, and to keep their profiles updated. “I think most scientists would agree [that ORCID] is a useful thing — but it’s very different when it comes to them actually going out and not only registering but keeping track of it.” Who’s signing up for ORCID? Porter led a study1, published in April, that surveyed almost 4,000 tenured and tenure-track faculty members across 31 public research universities in the United States. The results show high uptake among survey respondents in natural-sciences subjects, such as biological and biomedical sciences (93%), physical sciences (91%) and psychology (89%), and low uptake in humanities subjects, such as English language and literature (24%) and visual and performing arts (17%). Assistant professors were found to be more likely to have an ORCID number (80%) than were associate professors (67%) or full professors (71%). Porter and his co-authors suggest that the high adoption rates by early-career researchers are due either to their greater familiarity with technology or to their increased need for self-promotion as they work to secure tenure. When asked why they signed up to ORCID, 29% of survey respondents said it was a requirement when submitting a paper to a specific journal. ORCID itself reports a much higher number globally, noting that “about 75% of registrations occur because journals are asking authors to include their ORCID in new submissions”. Major publishers, including Springer Nature, Wiley, PLOS and the Royal Society, have integrated ORCID into their submission systems, and their journals require or strongly encourage authors to submit with an ORCID number. Nature Index 2025 Research Leaders Simon Porter, vice-president of research futures at the technology company Digital Science in London and a member of the ORCID advisory board, says that rather than putting the onus on users to manually update their profiles, systems and institutions should support researchers in not just signing up, but also using ORCID. “The simple act of publishing work with an ORCID should be all that’s required to update the ORCID record” and other research-management systems, he says. Alice Meadows, co-founder of the MoreBrains Cooperative, a scholarly communications consultancy in Chichester, UK, and a former director of communications and community engagement for ORCID, agrees. ORCID was always designed to be used in conjunction with other systems, she writes in an article published by the Scholarly Kitchen in July. “It’s ORCID and, not ORCID or,” she writes. Countries that have linked ORCID to national research systems have shown success in increasing the amount of data attached to ORCID profiles. For example, Portugal’s science-funding agency, the Foundation for Science and Technology, has been promoting ORCID since 2013, and later integrated it with its national scientific CV platform, CIÊNCIAVITAE.

Nature Human Behaviour

A latent measure of cultural racism and its association with US mortality and life expectancy
Tomi Akinyemiju, Oyomoare L. Osazuwa-Peters, Tyson H. Brown, Jude Ramos, Shaun Jones, Lauren E. Wilson, Nancy Krieger
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The US social context is characterized by systemic racism, a key driver of racial disparities. While structural and interpersonal racism are well-established components of systemic racism, cultural racism—a system of beliefs (ideology) and societal way of life (culture)—has been less robustly described and currently lacks a validated measure. We conducted confirmatory factor analysis on nine key indicators to define a cultural racism latent measure. In an analysis of US mortality data between 2018 and 2021 obtained from the Centers for Disease Control and Prevention’s WONDER system, each unit increase in the cultural racism factor was associated with ~136 (95% confidence interval, 90 to 182) all-cause deaths per 100,000 and a one-year decline in life expectancy (~−1 (−2 to −1)); these associations were consistent for both Black and white adults. The cultural racism factor substantially advances the science of racism and health and provides an empirical basis for efforts to address US health inequities.
Systematic review and meta-analysis of educational approaches to reduce cognitive biases among students
Ghassani Swaryandini, Jessica Graham, Shantell Griffith, Vasco Grilo, Federica Ruzzante, Xingruo Zhang, Siu Kit Yeung, Marta Mangiarulo, Geetanjali Basarkod, Clarence Ng, Philip Parker, Jason Tangen, Alexander Saeri, Emily Grundy, Peter Slattery, Michael Noetel
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Resistance to cognitive biases is a crucial element of rationality that influences judgement and decision-making. Here we synthesized the effects of debiasing training in educational settings. Our systematic review found 54 randomized controlled trials consisting of 383 effect sizes and 10,941 participants. Our meta-analysis of educational interventions showed a small, yet significant, improvement in reducing the likelihood of committing biases compared with control conditions (g = 0.26, 95% confidence interval 0.14 to 0.39), 160 effects from 41 studies, P < 0.001). Most studies focused on reducing the likelihood of committing biases (for example, confirmation bias) using cognitive strategies. Some biases seemed difficult to overcome (for example, representativeness heuristic), and questions remain about the depth and transferability of learning beyond classroom settings. All studies had unclear or high risk of bias and there was some risk of publication bias. While evidence suggests that educational interventions can reduce bias on targeted tasks, more research is needed to determine whether these improvements translate to meaningful changes in real-world decision-making and to identify which paedagogical approaches are most effective for reducing the influence of cognitive biases.

Proceedings of the National Academy of Sciences

GPT-4o mini: Non-social science research article
Structure of the Thomasclavelia ramosa immunoglobulin A protease reveals a modular and minimizable architecture distinct from other immunoglobulin A proteases
Norman Tran, Aaron Frenette, Todd Holyoak
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Immunoglobulin A proteases (IgAPs) are a diverse group of enzymes secreted from bacteria that inhabit human mucosal tissues. These enzymes have convergently evolved to cleave human immunoglobulin A as a means of modulating and evading host immunity. Only two of three known IgAP families have been biochemically characterized beyond their initial discovery. Here, we show using solution-scattering, steady-state kinetic, and crystallographic approaches that the protease from Thomasclavelia ramosa , representing the uncharacterized third family, has a truly modular and minimizable protein architecture. This analysis also revealed a unique metal-associated domain that likely functions as a molecular spacer and generated a working hypothesis detailing the structural mechanism behind the enzyme’s high substrate specificity. Our work provides an in-depth biochemical account of this IgAP family, paving the way for advancing clinically relevant IgAP-related research and our understanding of IgAPs as a whole.
GPT-4o mini: Non-social science research article
Unveiling street art: A multimodal and multitechnique approach for analyzing and mapping painting materials on large murals
Francesca Sabatini, Fauzia Albertin, Brenda Doherty, Letizia Monico, Francesca Rosi, David Buti, Aldo Romani, Antonio Pecci, Nicodemo Abate, Maria Sileo, Antonio Minervino Amodio, Nicola Masini, Silvia Pizzimenti, Ilaria Degano, Francesca Modugno, Beatrice Campanella, Stefano Legnaioli, Laura Cartechini
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Street art murals are increasingly recognized as valuable contemporary artworks, often attaining significant artistic, historical, and social importance. As these murals become integral parts of cultural heritage, finding efficient strategies for their conservation is crucial. However, their typical large surface areas, heterogeneous materials, and high variability in exposure to environmental and pollution factors pose significant challenges in establishing appropriate analytical strategies to obtain the necessary information. This study proposes a multiscale and multitechnique noninvasive approach to investigate and monitor street art murals in situ. By combining portable point techniques—such as external reflection Fourier transform infrared spectroscopy, Raman spectroscopy, visible, near infrared, and short-wave infrared reflectance spectroscopy, and X-ray fluorescence spectroscopy—with visible and near infrared hyperspectral imaging, the mural’s composition across a square meter surface could be analyzed. Additionally, multispectral imaging mounted on a drone provided a global reconstruction and characterization of the overall mural. This method was complemented by microdestructive laboratory analyses of selected samples, using pyrolysis gas chromatography–mass spectrometry and liquid chromatography coupled with diode array detector and tandem mass spectrometry, to further investigate selected samples and support noninvasive results. The approach was applied to the iconic mural “Musica Popolare” (2017) by Orticanoodles in Milan, Italy, revealing detailed information about its pigments, binders, fillers, and degradation. The findings demonstrate the potential of this integrated methodology for the effective material identification, conservation assessment, and short-and long-term monitoring of urban heritage.
GPT-4o mini: Non-social science research article
Rising global temperatures reduce soil microbial diversity over the long term
Yuan Sun, Han Y. H Chen, Xin Chen, Masumi Hisano, Xinli Chen, Peter B. Reich
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Soil microbial diversity is crucial to sustaining ecosystem productivity and improving carbon sequestration. Global temperature continues to rise, but how climate warming affects microbial diversity and its capacity to sequester soil organic carbon (SOC) remains uncertain. Here, by conducting a global meta-analysis with 251 paired observations from 102 studies, we showed that, on average, warming reduced bacterial and fungal diversity (measured by richness and Shannon index) by 16.0 and 19.7%, respectively, and SOC by 18.1%. The negative responses of both soil bacterial and fungal diversity to warming became more pronounced with increasing warming magnitude, experimental duration, and decreasing soil nitrogen availability. Under the worst-case climate warming scenario (2010 to 2070, 3.4 increase in °C), soil bacterial diversity and fungal diversity are projected to reduce by 56% and 81%, respectively, over 60 y. Importantly, in addition to the direct impact of warming on SOC, warming-induced declines in microbial diversity also contributed to SOC losses. We highlight that prolonged warming could substantially reduce soil microbial diversity and decrease SOC sequestration, accelerating future warming and underscoring the urgent need for decisive actions to mitigate global climate change.
GPT-4o mini: Non-social science research article
Flavin-deficient erythrocytes offer protection against malaria parasites
Ayman Hemasa, Welmoed van Loon, Jonathan Fu, Christina Spry, Julia JĂ€ger, Donelly A. van Schalkwyk, Roberto Reverberi, Jules Ndoli, Frank P. Mockenhaupt, Carlo Contini, Kevin J. Saliba
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Studies from the 1980s and 1990s conducted in Italy, where malaria was once endemic, hypothesized that individuals with erythrocytes deficient in flavin mononucleotide and flavin adenine dinucleotide (FAD)—collectively known as flavins—are partially protected against malaria. The condition was reported to be familial, consistent with a genetic element. This hypothesis, however, has never been tested. Using an erythrocyte FAD-dependent glutathione reductase activity assay, we identified individuals with flavin-deficient erythrocytes (FDE) in Ferrara, Italy (23% of 150 individuals screened), and in Huye, Rwanda (13% of 169 individuals). None of the individuals with FDE had a dietary riboflavin deficiency. Importantly, FDE from individuals in Ferrara, as well as erythrocytes depleted of flavins in vitro by riboflavin starvation, inhibited the intraerythrocytic proliferation of Plasmodium falciparum . We provide evidence that these erythrocytes are susceptible to oxidative stress, potentially explaining their inhibitory effect on parasite proliferation. Genetic analysis identified mutations in the FAD synthase gene of three individuals with FDE from Huye, consistent with a potential genetic basis.
GPT-4o mini: Non-social science research article
Renormalization group for Anderson localization on high-dimensional lattices
Boris L. Altshuler, Vladimir E. Kravtsov, Antonello Scardicchio, Piotr Sierant, Carlo Vanoni
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We discuss the dependence of the critical properties of the Anderson model on the dimension d in the language of ÎČ -function and renormalization group recently introduced in Vanoni et al. [C. Vanoni et al. , Proc. Natl. Acad. Sci. U.S.A. 121 , e2401955121 (2024)] in the context of Anderson transition on random regular graphs. We show how in the delocalized region, including the transition point, the one-parameter scaling part of the ÎČ -function for the fractal dimension D 1 evolves smoothly from its d = 2 form, in which ÎČ 2 ≀ 0 , to its ÎČ âˆž ≄ 0 form, which is represented by the random regular graph (RRG) result. We show how the Ï” = d − 2 expansion and the 1 / d expansion around the RRG result can be reconciled and how the initial part of a renormalization group trajectory governed by the irrelevant exponent y depends on dimensionality. We also show how the irrelevant exponent emerges out of the high-gradient terms of expansion in the nonlinear sigma model and put forward a conjecture about a lower bound for the fractal dimension. The framework introduced here may serve as a basis for investigations of disordered many-body systems and of more general nonequilibrium quantum systems.
GPT-4o mini: Non-social science research article
Identification of broadly inhibitory anti-PfEMP1 antibodies by mass spectrometry sequencing of plasma IgG from a malaria-exposed child
Louise Turner, Teresa Nunez de Villavicencio Diaz, Sai Sundar Rajan Raghavan, Ikhlaq Hussain Kana, Eric Lyimo, Chelsea Reitzel, Christian W. Wang, Ewen Berube, Rasmus W. Jensen, Johannes R. Loeffler, Monica Lisa FernĂĄndez-Quintero, Thor G. Theander, John P. A. Lusingu, Thierry Le Bihan, Xiaobing Han, Daniel T. R. Minja, Andrew B. Ward, Bin Ma, Thomas Lavstsen
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Plasmodium falciparum pathology is driven by the accumulation of parasite-infected erythrocytes in blood capillaries. This sequestration process is mediated by the parasite’s P. falciparum erythrocyte membrane protein 1 (PfEMP1) adhesins, which bind select endothelial cell receptors. A subset of PfEMP1 binding human endothelial protein C receptor (EPCR) through their cysteine-rich interdomain region alpha 1 (CIDRα1) domains drives the pathogenesis to severe malaria. Despite high sequence diversity among CIDRα1 domains, individuals living in malaria-endemic regions become immune to severe disease in part through acquisition of antibodies inhibiting the PfEMP1–EPCR interaction. Here, we demonstrate an approach to identify pathogen-specific human monoclonal antibodies from plasma, combining mass spectrometry analysis of antigen-purified polyclonal plasma IgG and Ig transcript sequencing. We identified a clonal family of broadly reactive and EPCR binding-inhibitory human monoclonal antibodies against CIDRα1. The antibodies, isolated from a 9-y-old child, exhibited potent inhibition of EPCR binding broadly across CIDRα1 domains as well as binding of infected erythrocytes to EPCR. Structural analysis of one antibody variant complexed with CIDRα1 revealed a shared epitope of the clonal antibody family overlapping the EPCR binding site and the epitopes of two previously identified monoclonal antibodies, C7 and C74, with similar functional patterns. However, although C7, C74, and 110-3 antibodies all depend on the same few residues conserved in CIDRα1 to retain EPCR binding, the 110-3 antibodies contact additional variable residues, reducing their breadth of reactivity across the CIDRα1 family. These data bolster the hypothesis that broadly inhibitory antibodies against severe malaria-associated PfEMP1 target similar epitopes and are commonly developed in malaria-exposed individuals.
GPT-4o mini: Non-social science research article
De novo rates of a Trypanosoma -resistant mutation in two human populations
Daniel Melamed, Revital Shemer, Evgeni Bolotin, Michael B. Yakass, Dorit Fink-Barkai, Edem K. Hiadzi, Karl L. Skorecki, Adi Livnat
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Mutation rates have long been measured as averages across many genomic positions. Recently, a method to measure the rates of individual mutations was applied to a narrow region in the human hemoglobin subunit beta ( HBB ) gene containing the site of the hemoglobin S (HbS) mutation as well as to a paralogous hemoglobin subunit delta ( HBD ) region, in sperm samples from sub-Saharan African and northern European donors [Melamed et al ., Genome Res. 32 , 488–498 (2022)]. The HbS mutation, which protects against malaria while causing sickle-cell anemia in homozygotes, originated de novo significantly more frequently in the HBB gene in Africans compared to the other three test cases combined (the European HBB gene and the European and African HBD gene). Here, we apply this approach to the human apolipoprotein L1 ( APOL1 ) gene containing the site of the G1 1024A→G mutation, which protects against African sleeping sickness caused by Trypanosoma brucei gambiense while causing a substantially increased risk of chronic kidney disease in homozygotes. We find that the 1024A→G mutation is the mutation of highest de novo origination rate and deviates most from the genome-wide average rate for its type (A→G) compared to all other observable mutations in the region and that it originates de novo significantly more frequently in Africans than in Europeans—i.e., in the population where it is of adaptive significance. The results are unexpected given the notion that the probability of a specific mutational event is independent of its value to the organism and underscore the importance of studying mutation rates at the individual-mutation resolution.
GPT-4o mini: Non-social science research article
Pervasive and recurrent hybridization prevents inbreeding in Europe’s most threatened seabird
Guillem Izquierdo-Arànega, Cristian Cuevas-Caballé, Francesco Giannelli, Josephine R. Paris, Karen Bourgeois, Emiliano Trucchi, Jacob Gonzålez-Solís, Marta Riutort, Joan Ferrer Obiol, Julio Rozas
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Hybridization is a double-edged sword: While it can erode distinct evolutionary lineages, it can also introduce genetic diversity and adaptive potential into dwindling populations. In the Critically Endangered Balearic shearwater ( Puffinus mauretanicus ), this dilemma is exacerbated by a limited understanding of the extent and consequences of hybridization with the Yelkouan shearwater ( Puffinus yelkouan ). This knowledge gap has limited the scope of science-based conservation strategies to avoid the Balearic shearwater’s imminent extinction. Here, we investigate shearwater hybridization dynamics and their effect on genome-wide diversity in the Balearic shearwater. Divergence dating, demographic modeling, and admixture analyses suggest that these two poorly differentiated shearwater lineages have experienced recurrent episodes of divergence and widespread hybridization during glacial cycles. Selection scans reveal a 500 kb region hosting an adaptive haplotype that potentially underpins interspecific differences in migratory behavior and which has been repeatedly introgressed between the two taxa. Moreover, we show that interspecific gene flow has prevented increases in homozygosity and genetic load, and through forward simulations, we illustrate how it can buffer the negative effects of future population bottlenecks in the Balearic shearwater. Our findings illustrate how introgression can be crucial for maintaining genetic diversity in threatened taxa and highlight the need for considering the protection of hybridization in conservation plans.
GPT-4o mini: Non-social science research article
Local c-di-GMP signaling, triggered by cross-regulation of cAMP-CRP and c-di-GMP, controls biofilm formation under nutrient limitation
Di Sun, Xiaobo Liu, Ying Zhang, Rui Shi, Yunrui Ru, Xuge Zhou, Ying Chen, Jing Yang, Jiawen Liu, Jingrong Zhu, Cong Liu, Weijie Liu
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Bacteria have several nucleotide second messengers, most of which act as global regulators to control a wide range of bacterial physiological processes. Studies usually focus on a single second messenger, and the mechanisms and physiological significance of the cross-regulation between different nucleotide second messengers are often unclear. Here, we show that Shewanella putrefaciens can form biofilms in both nutrient-rich and nutrient-poor media. While both are controlled by c-di-GMP, the regulatory models differ. Under low nutrient conditions, cross-regulation of cAMP-CRP and c-di-GMP occurs at the transcriptional and posttranslational levels, thereby controlling biofilm development. During the early stages of biofilm development, cAMP-CRP directly promotes the transcription of a PDE gene, lrbR , by LrbA. Additionally, cAMP-CRP recruits LrbR to BpfD to suppress early biofilm formation via LrbR-dependent local degradation of c-di-GMP. Finally, as intracellular LrbR levels decrease, cAMP-CRP-BpfD enables a rapid shift to biofilm development and supports biofilm maintenance. Under high nutrient conditions, this cross-regulation does not occur, resulting in a positive correlation between global c-di-GMP levels and biofilm biomass. The identification of distinct modes of biofilm regulation in different nutrients will provide a theoretical basis for future targeted control of biofilm formation in different nutrient environments.
GPT-4o mini: Non-social science research article
Loss of ICOSL expression in the progression to cervical carcinoma
Gerard J. Nuovo, Esmerina Tili, Carlo M. Croce
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Human papillomavirus (HPV)–related lesions contain types with benign outcomes and those with a risk of progression to cancer. We addressed the role of immune surveillance in 76 cervical biopsies (normal = 23, HPV+ benign = 16, HPV+ precancer = 37) by studying the infiltration of cytotoxic T cells and the expression of the immune modulators PDL1, ICOSL, and miR-155 and compared the data to 101 cervical squamous cell carcinomas. In the normal cervix, ICOSL expression was restricted to the endocervical epithelia whereas neither miR-155 nor PDL1 were detected. MiR-155 was up-regulated in both the benign (88%) and precancerous (92%) HPV squamous intraepithelial lesions (SIL) and colocalized to cells in the upper part of the lesion that is the area with productive viral infection. Both PDL1 (95%) and ICOSL (89%) were only evident in the precancerous SIL and each localized to squamous cells in the basal aspect that lacked replicating virus. In both microinvasive and invasive cervical squamous cell cancer miR-155 expression remained high (83%) as did PDL1 expression (80%) but ICOSL detection was reduced to 17%. Infiltration by CD8+ T cells was intense in the invasive lesions and these cells were mostly inactive as determined by the lack of granzyme B colocalization. It is concluded that miR-155 expression is a marker of HPV infection in both benign and precancerous lesions, whereas the approximately 10% of the latter lesions that progress to cancer gain PDL1 and lose ICOSL expression, which are important factors in avoiding immune surveillance.
GPT-4o mini: Non-social science research article
Underappreciated role of canopy nitrogen deposition for forest productivity
Xiaowei Li, Chenlu Zhang, Beibei Zhang, Li Jiang, Shengqi Tang, Chenhui Sun, Yulong Bai, Yubang Wang, Yifei Shi, Lei Ma, Wei Zhang, Qing Ye, Junhua Yan, Keya Wang, Juemin Fu, Wenzhi Du, Denglong Ha, Yuxi Ju, Shiqiang Wan, Liang Hong, Yunting Fang, Evan Siemann, Yiqi Luo, Peter B. Reich, Shenglei Fu
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Atmospheric nitrogen (N) deposition is generally expected to stimulate plant carbon (C) sequestration and promote tree growth, thereby mitigating atmospheric CO 2 accumulation. Yet, the magnitude of N deposition contribution to forest productivity remains contentious. While correlative studies suggest substantial plant growth enhancement, controlled fertilization experiments typically demonstrate a limited impact. This discrepancy may arise from whether or not to consider canopy N uptake processes. Here, we conducted a 10-y field experiment comparing canopy addition of N (CAN) with understory addition of N (UAN) at the rate of 0, 25, and 50 kg N ha –1 y –1 in a temperate deciduous forest in central China. We show that CAN significantly enhanced net primary productivity by 37.0% over control, driven by enhanced leaf litterfall, wood and fine root production, whereas UAN effects were marginal (8%). 15 N isotopic tracing revealed that CAN, through enhanced plant N uptake and increased ecosystem N retention, yielded a 3.5-fold higher C sequestration efficiency (∆C/∆N) of 54.5 ± 7.7 kg C kg –1 N, than UAN (12.2 ± 3.4 kg C kg –1 N) resulted from greater N loss through leaching. Physiological measurements indicated CAN enhanced leaf photosynthetic rates, modified leaf morphology, and extended leaf lifespan via delayed senescence. These findings provide robust empirical evidence that canopy N uptake is crucial for maximizing N-induced forest productivity, thereby holding significant implications for refining global C models and urging modelers to incorporate canopy processes for more accurate projections of future C sinks and climate change mitigation strategies.
GPT-4o mini: Non-social science research article
Definition of the components required for selective packaging of coronavirus genomic RNA
Janice D. Pata, TaĂ­na K. Stevens, Lili Kuo, Paul S. Masters
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Most cytoplasmic RNA viruses have evolved mechanisms to identify their genomic RNA (gRNA) as the sole RNA species to be packaged into assembled virions. Coronaviruses exhibit highly selective packaging of their gRNA, in spite of the presence of a large excess of subgenomic viral and host RNA in infected cells. Failure to accomplish this selectivity does not impair virion assembly but renders the virus vulnerable to host innate immunity. In the prototype coronavirus mouse hepatitis virus (MHV) packaging selectivity is brought about by a packaging signal (PS), an RNA structure found exclusively in gRNA and absent from subgenomic RNAs. However, it is not well resolved how virion structural proteins participate in the recognition of the PS. Previous studies with virions have shown that the nucleocapsid (N) protein carboxy-terminal RNA-binding domain (CTD) and the carboxy-terminal tail (domain N3) both have roles in PS recognition. Separately, work with a virus-like particle system has implicated the viral membrane (M) protein as the main factor in this process. Here, we pinpoint key amino acids in the CTD and domain N3 that govern selective gRNA packaging into virions, and we provide genetic evidence that the M protein endodomain also plays a required role. We show that the N protein CTD is the primary determinant of PS recognition, and we localize residues in the CTD structure that are critical for specific and nonspecific RNA binding.
GPT-4o mini: Non-social science research article
CryoEM structure of ALK2:BMP6 reveals distinct mechanism that allow ALK2 to interact with both BMP and activin ligands
Erich J. Goebel, Senem Aykul, Warren W. Hom, Kei Saotome, Aris N. Economides, Matthew C. Franklin, Vincent J. Idone
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Ligands in the transforming growth factor ÎČ (TGF-ÎČ) family [activins, Bone Morphogenetic Proteins (BMPs), and TGF-ÎČs] signal by bringing together two type I and two type II receptors. Activin receptor-like kinase-2 (ALK2) is the only type I receptor among the seven TGF-ÎČ type I receptors that interacts with both activin and BMP ligands. With BMPs, ALK2 acts as a signaling receptor to activate small mothers against decapentaplegic 1 (SMAD1)/5/8 signaling. Alternatively, with activins, such as Activin A (ActA), ALK2 forms nonsignaling complexes that negatively regulate ALK2 and ActA signaling. To gain insight into how ALK2 interacts with two distinct classes of ligands, we resolved the cryoelectron microscopy structure of ALK2 in complex with the type II receptor, ActRIIB, and the ligand, BMP6, in parallel with the corresponding structure with ALK3 for direct comparison. These structures demonstrate that ALK2 and ALK3 utilize different mechanisms to interact with BMP6 at the wrist interface, with ALK2 relying on BMP6 glycosylation and ALK3 relying on a salt bridge. Modeling of ALK2:ActA reveals that binding relies on ActA’s fingertip region, mirroring the interaction of ActA with its other receptor, ALK4. Our results demonstrate that ALK2 is a “hybrid” receptor that incorporates features of BMP type I receptors such as ALK3 at the wrist interface and an activin type I receptor such as ALK4 at the fingertip.
GPT-4o mini: Non-social science research article
Candidate Denisovan fossils identified through gene regulatory phenotyping
Nadav Mishol, Gadi Herzlinger, Yoel Rak, Uzy Smilanksy, Liran Carmel, David Gokhman
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Denisovans are an extinct group of humans whose morphology is mostly unknown. The scarcity of verified Denisovan fossils makes it challenging to study their anatomy, and how well they were adapted to their environment. We previously developed a genetic phenotyping approach to gain insight into Denisovan anatomy by detecting gene regulatory changes that likely altered Denisovan skeletal morphology. Here, we scan the Middle Pleistocene fossil record for crania matching the predicted Denisovan morphology and might therefore be related to Denisovans. We developed quantitative measures to assess both the proportion and extent of matches. These analyses revealed that the East Asian specimens of Harbin and Dali show an exceptionally high concordance with the Denisovan profile, surpassing all other examined Middle Pleistocene hominin specimens, including Neanderthals. Specifically, 15 out of 18 of Dali ’s features and 16 out of 18 of Harbin ’s matched Denisovan predictions. These findings are robust to overall skull size and to correlations between phenotypes. We also found that Kabwe 1 shows a strong affinity to the Denisovan–Neanderthal clade and might be placed near its root. Our results show that gene regulatory phenotyping may assist in classifying poorly understood specimens.
GPT-4o mini: Non-social science research article
A FRET assay to monitor different structural states of human ÎČ-cardiac myosin including the interacting-heads motif
Rama Reddy Goluguri, Piyali Guhathakurta, Neha Nandwani, Aminah Dawood, Seiji Yokota, Osha Roopnarine, David D. Thomas, Kathleen M. Ruppel, James A. Spudich
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In cardiac muscle, myosin molecules exist in multiple structural states as they transit through their ATPase cycle, including an off-cycle resting or OFF-state with their catalytic heads in a folded structure known as the interacting-heads motif (IHM). The blocked head configuration (BHC) of the IHM is unusual because its light chain binding region is held in an exaggerated prestroke angle stabilized by interactions with its own S2 tail. An additional partial OFF-state, where the second head of the IHM is not folded back onto the blocked head, has been proposed, which still has the blocked head interacting with S2. Many mutations in the human ÎČ-cardiac myosin gene that cause hypertrophic cardiomyopathy are thought to destabilize (decrease the population of) the OFF-states. The effects of pathogenic mutations on the folded back structural states are often studied using indirect assays, including a single-ATP turnover assay that detects the biochemical state of myosin functionally. Here, we use a fluorescence resonance energy transfer (FRET) based sensor for direct quantification in solution of the myosin BHC state. Using the FRET sensor, we provide evidence that the myosin tail acts as an activator of the recovery stroke transition after ATP binding to poststroke state apomyosin and that BHC formation is rapid after ATP binding and depends on formation of the prestroke state. We propose that the positively charged loop 2 of the prestroke state head interacts with the Ring 2 cluster of negatively charged residues on the S2 tail to form a preBHC state that facilitates BHC state formation.
GPT-4o mini: Non-social science research article
Cohort mortality forecasts indicate signs of deceleration in life expectancy gains
José Andrade, Carlo Giovanni Camarda, Héctor Pifarré i Arolas
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The fast-paced improvements in mortality in high-income countries since the early 1900s have led to a sustained increase in life expectancy. However, whether this linear trend will continue or life expectancy gains will decelerate in the near future remains unclear. To answer this question, we apply multiple established and recently developed mortality forecasting methods to estimate cohort life expectancy for individuals born between 1939 and 2000 in 23 high-income countries. Across all forecasting methods, our results robustly and consistently indicate a deceleration in cohort life expectancy. The previously observed pace of improvement, 0.46 y per cohort, declines by 37% to 52%, depending on the method used. Robustness checks suggest that these findings are unlikely to be solely due to downward bias in cohort life expectancy forecasts. Furthermore, an age-decomposition analysis indicates that this deceleration is primarily driven by a slower pace of mortality improvement at very young ages. Over half of the total deceleration is attributable to mortality trends under age 5, while more than two-thirds is explained by mortality trends under age 20. This pattern had already emerged in the observed data for the cohorts included in our analysis. Thus, even if these estimates turned out to be overly pessimistic, it is unlikely that the deceleration will reverse in the near future.
GPT-4o mini: Non-social science research article
Logging disrupts the ecology of molecules in headwater streams
Erika C. Freeman, Erik J. S. Emilson, Kara L. Webster, Thorsten Dittmar, Andrew J. Tanentzap
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Global demand for wood products is increasing forest harvest. One understudied consequence of logging is that it accelerates mobilization of dissolved organic matter (DOM) from soils to aquatic ecosystems where it is more easily rereleased to the atmosphere. Here, we tested how logging changed DOM in headwaters of hardwood-dominated catchments in northern Ontario, Canada. We applied a before-after-control-impact experiment across four catchments for 3 y and measured DOM monthly during ice-free seasons. DOM concentration in streams from logged catchments quadrupled, on average, only for the first 2 mo postharvest, but resulting changes to the molecular composition of DOM persisted for at least 2 y. Ultrahigh-resolution mass spectrometry revealed that DOM composition within logged streams became more available for microbial use and chemically diverse than in controls, with novel highly unsaturated polyphenols, carboxylic-rich alicyclic, and nitrogen-containing formulae. The molecular composition of stream DOM measured fortnightly postharvest was most similar to the DOM composition of surrounding soils, likely due to increased hydrological connectivity. Alongside carbon being more likely to be released into the atmosphere, we estimate that selective logging increased the total flux of dissolved organic carbon in streams by 6.4% of the carbon extracted as timber. Although these estimates are short-lived, they should affect the millions of hectares that are logged annually. Carbon accounting of forestry, including as a natural climate solution, must now consider the transport and fate of DOM from land into water.
GPT-4o mini: Non-social science research article
Danicamtiv reduces myosin’s working stroke but activates the thin filament by accelerating actomyosin attachment
Brent Scott, Lina Greenberg, Caterina Squarci, Kenneth S. Campbell, Michael J. Greenberg
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Heart failure is a leading cause of death worldwide, and even with current treatments, the 5-y transplant-free survival rate is only ~50 to 70%. As such, there is a need to develop new treatments for patients that improve survival and quality of life. Recently, there have been efforts to develop small molecules for heart failure that directly target components of the sarcomere, including cardiac myosin. Danicamtiv is one of these molecules; however, its direct effects on myosin’s single molecule mechanics and kinetics are not well understood. Using optical trapping techniques, stopped flow transient kinetics, and in vitro reconstitution assays, we found that danicamtiv reduces the size of cardiac myosin’s working stroke without affecting actomyosin detachment kinetics at the level of individual crossbridges. We demonstrate that danicamtiv accelerates actomyosin association kinetics, leading to increased recruitment of myosin crossbridges and subsequent thin filament activation at physiologically relevant calcium concentrations. We demonstrate important mechanistic differences with another cardiac myosin binding myotrope, omecamtiv mecarbil. Finally, we computationally model how the observed changes in mechanics and kinetics at the level of single crossbridges can contribute to increased cardiac contraction. Taken together, our results have important implications for the design of sarcomeric-targeting compounds for heart failure.
GPT-4o mini: Non-social science research article
Scaling and mechanical optimality of bristled wings in microinsects
Dmitry Kolomenskiy, Sergey E. Farisenkov, Pyotr N. Petrov, Alexey A. Polilov
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It is crucial for both animal evolution and engineering to optimize the relative size of structures. Animal wings are no exception, every structural design having its limits in terms of achievable size and performance. For instance, many microinsects have bristled wings, which are more efficient at small scales than the membranous wings common in larger insects. However, the limitations and the optimal characteristics of bristled wings remain largely underinvestigated. We collected morphological and kinematic data on a variety of beetles ranging between 0.3 and 5 mm in wing length. This was followed by a theoretical analysis to explain from the mechanical standpoint the morphological traits and allometric scalings observed in the data. We derived functional dependencies for parameters such as the number of bristles, bristle length and diameter, size of the wing blade, etc., from considerations of wing inertia minimization under the aerodynamic and structural stiffness constraints. The solution of the optimization problem reveals scaling relationships aligning with empirical trends, which suggests that the reduction of wing membrane during miniaturization can be explained by mechanical optimality. Thus, scaling of the number of bristles and the average gap width between bristles follows directly from the aerodynamic condition of maintaining low permeability, while the bristle diameter and length are determined mainly by the structural stiffness requirement. Similar mechanical arguments are likely applicable to other miniature animals that propel through fluids.
GPT-4o mini: Non-social science research article
Multistep catalytic abiotic CO 2 conversion to sugars through C 1 intermediates
Nathan Soland, Jie Luo, Arifin Luthfi Maulana, Julian Feijoo, Hye-Jin Jo, Alexander M. Oddo, Yu Shan, Tianle Wang, Geonhui Lee, Jihoon Choi, Wei-Shan Huynh, Maria Fonseca Guzman, Lihini Jayasinghe, Cheng Zhu, Yao Yang, Peidong Yang
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Carbon dioxide (CO 2 ) to multicarbon (C n ) upgrading for commodity chemicals, fuel production, or artificial food synthesis using renewable energy input is a golden target for researchers in sustainable carbon emission reduction. Here, we explore and analyze a flexible modular roadmap for the task, utilizing sequential electro-, photo-, and organocatalysis to develop a strategy for CO 2 conversion using the key and elusive formaldehyde precursor of interest for sugar generation. We study the electrochemical carbon dioxide reduction reaction to methanol in a flow cell and its discontinuous photooxidation to formaldehyde (PMOR) with excellent selectivity. Utilizing a highly active N- heterocyclic carbene catalyst enables tunable generation of C 4 –C 6 aldoses without undesirable byproducts, with carbon conversion yield reaching 60 to 80% for desired pentose, tetrose, and triose product mixtures and over 20% for hexose. This approach presents a roadmap for CO 2 valorization, aiming to bridge carbon waste streams with sustainable sugar synthesis and opening broad avenues for green chemical production.
GPT-4o mini: Non-social science research article
Community detection for directed networks revisited using bimodularity
Alexandre Cionca, Chun Hei Michael Chan, Dimitri Van De Ville
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Community structure is a key feature omnipresent in real-world network data. Plethora of methods have been proposed to reveal subsets of densely interconnected nodes using criteria such as the modularity index. These approaches have been successful for undirected graphs but directed edge information has not yet been dealt with in a satisfactory way. Here, we revisit the concept of directed communities as a mapping between sending and receiving communities. This translates into a definition that we term bimodularity. Using convex relaxation, bimodularity can be optimized with the singular value decomposition of the directed modularity matrix. Subsequently, we propose an edge-based clustering approach to reveal the directed communities including their mappings. The feasibility of the framework is illustrated on a synthetic model and further applied to the neuronal wiring diagram of the Caenorhabditis elegans , for which it yields meaningful feedforward loops of the head and body motion systems. This framework sets the ground for the understanding and detection of community structures in directed networks.
GPT-4o mini: Non-social science research article
Tunable effective diffusion of CO 2 in aqueous foam
CĂ©cile Aprili, Gwennou Coupier, Élise Lorenceau, Benjamin Dollet
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Aqueous foams are solid materials composed of gases and liquids, exhibiting a large gas/liquid surface area and enabling dynamic exchanges between their fluid components. The structure of binary-gas foams, whose bubbles consist of a mixture of two gases having different affinities with the liquid, thus offers real potential for the dynamic separation of these gases at low cost. In single-gas foams, the structure evolves under the effect of gas flow induced by Laplace pressure differences, arising from heterogeneities in bubble size. This leads to the well-documented Ostwald ripening. In addition to these capillary effects, the structure of binary-gas foams can evolve under the effect of gas flow induced by partial pressure differences, arising from heterogeneities in bubble composition. We experimentally investigate the shrinking of CO 2 -laden 2D foams exposed to air, observing a crust of tiny bubbles at the front. We derive a nonlinear diffusion model for the gas in the foam and propose a description of the whole foam as an effective, homogeneous medium, the key parameter being the gas permeability ratio across the foam’s soap films (≠1 for CO 2 /air). The effective diffusivity of the gas in the foam emerges from the coupling between foam structure and gas transport across soap films. We extrapolate it for various permeability ratios and show that it can vary continuously between the diffusivity of the gas in the liquid and that of the gas in the atmosphere, enabling tunable gas retention and release by controlling the composition of the atmosphere.
GPT-4o mini: Non-social science research article
Color-neutral and reversible tissue transparency enables longitudinal deep-tissue imaging in live mice
Carl H. C. Keck, Elizabeth L. Schmidt, Richard H. Roth, Brendan M. Floyd, Andy P. Tsai, Hassler B. Garcia, Miao Cui, Xiaoyu Chen, Chonghe Wang, Andrew Park, Su Zhao, Pinyu A. Liao, Kerriann M. Casey, Wencke Reineking, Sa Cai, Ling-Yi Zhang, Qianru Yang, Lei Yuan, Ani Baghdasaryan, Eduardo R. Lopez, Lauren Cooper, Han Cui, Daniel Esquivel, Kenneth Brinson, Xiaoke Chen, Tony Wyss-Coray, Todd P. Coleman, Mark L. Brongersma, Carolyn R. Bertozzi, Gordon X. Wang, Jun B. Ding, Guosong Hong
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Light scattering in biological tissue presents a significant challenge for deep in vivo imaging. Our previous work demonstrated the ability to achieve optical transparency in live mice using intensely absorbing dye molecules, which created transparency in the red spectrum while blocking shorter-wavelength photons. In this paper, we extend this capability to achieve optical transparency across the entire visible spectrum by employing molecules with strong absorption in the ultraviolet spectrum and sharp absorption edges that rapidly decline upon entering the visible spectrum. This color-neutral and reversible tissue transparency method enables optical transparency for imaging commonly used fluorophores in the green and yellow spectra. Notably, this approach facilitates tissue transparency for structural and functional imaging of the live mouse brain labeled with yellow fluorescent protein and GCaMP through the scalp and skull. We show that this method enables longitudinal imaging of the same brain regions in awake mice over multiple days during development. Histological analyses of the skin and systemic toxicology studies indicate minimal acute or chronic damage to the skin or body using this approach. This color-neutral and reversible tissue transparency technique opens opportunities for noninvasive deep-tissue optical imaging, enabling long-term visualization of cellular structures and dynamic activity with high spatiotemporal resolution and chronic tracking capabilities.
GPT-4o mini: Non-social science research article
STAGE: A compact and versatile TnpB-based genome editing toolkit for Streptomyces
Jing Luo, Natalie Chia, Yuxi Qin, Pan Tan, Lingwen Zhang, Sihan Yang, Zihan Yuan, Liang Hong, Sang Yup Lee, Yaojun Tong
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Streptomyces are naturally endowed with the capacity to produce a wide array of natural products with biomedical and biotechnological value. They have garnered great interest in synthetic biology applications given the abundance of uncharacterized biosynthetic gene clusters (BGCs). However, progress has been hindered by the limited availability of genetic tools for manipulating these bacteria. Several representative CRISPR-Cas systems have been established in Streptomyces to streamline experimental workflows and improve editing efficiency. Nevertheless, their broader applicability has been constrained by issues such as nuclease activity-related cytotoxicity and the large size of effector proteins. To address these challenges, we present Streptomyces -compatible TnpB-assisted genome editing (STAGE), a genetic toolkit based on ISDra2 TnpB, which is approximately one-third the size of Cas9 and enables precise, site-specific gene editing. We demonstrated that STAGE introduces genetic mutations with high efficiency and minimal off-target effects in two industrially important Streptomyces strains. Building on this platform, we developed STAGE-cBEST and STAGE-McBEST, enabling single and multiplexed C·G-to-T·A base editing, respectively, with editing efficiencies exceeding 75%. To further enhance performance, we engineered the ISDra2 TnpB system using an AI-assisted protein engineering framework, resulting in two variants that achieve nearly 100% genome editing efficiency. Additionally, through sequence homology analysis, we identified a TnpB ortholog from the same biological origin of ISDra2 TnpB, which also functions effectively as a gene editing tool. Our study establishes STAGE as a highly precise, programmable, and versatile genome editing platform for Streptomyces , paving the way for advanced genetic manipulation and synthetic biology applications in these industrially important bacteria.
GPT-4o mini: Non-social science research article
Reduced gas accretion onto galaxies due to effects of external giant radio lobes
Yu Qiu, Renyue Cen
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Suppression effects of giant radio lobes from supermassive black holes on gas accretion onto galaxies in the surrounding regions are quantified using cosmological magneto-hydrodynamic simulations. With an appropriate amount of radio jet energy injected into the intergalactic medium following the formation peak of supermassive black holes at redshift two, we find that galaxies in the greater neighborhood of the jet-launching massive galaxies subsequently experience a significant reduction in the amount of accreted gas. The distribution of the resulting magnetic field in the intergalactic medium is highly inhomogeneous, due to the highly biased nature of the most massive supermassive black holes. In regions with magnetic field strength B > 10 − 2 ÎŒ G, the baryon fraction is on average reduced by 17%, 14%, and 12%, respectively, for halos of mass in the range of [ 10 11 , 10 12 ) M ⊙ , [ 10 12 , 10 13 ) M ⊙ , and [ 10 13 , 10 14 ) M ⊙ . A proper inclusion of this new, external, global, preventive feedback mechanism from active galactic nuclei (AGN) in the next generation of cosmological simulation may be necessary.
GPT-4o mini: Non-social science research article
Quantitative and sensitive sequencing of somatic mutations induced by a maize transposon
Justin Scherer, Michael Hinczewski, Brad Nelms
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Cells accumulate mutations throughout development, contributing to cancer, aging, and evolution. Quantitative data on the abundance of de novo mutations within plants or animals are limited, as new mutations are often rare within a tissue and fall below the limits of current sequencing depths and error rates. Here, we show that mutations induced by the maize Mutator (Mu) transposon can be reliably quantified down to a detection limit of 1 part in 16,000. We measured the abundance of millions of de novo Mu insertions across four tissue types. Within a tissue, the distribution of de novo Mu allele frequencies was highly reproducible between plants, showing that, despite the stochastic nature of mutation, repeated statistical patterns of mutation abundance emerge. In contrast, there were significant differences in the allele frequency distribution between tissues. At the extremes, root was dominated by a small number of highly abundant de novo insertions, while endosperm was characterized by thousands of insertions at low allele frequencies. Finally, we used the measured pollen allele frequencies to reinterpret a classic genetic experiment, showing that evidence for late Mu activity in pollen is better explained by cell division statistics. These results provide insight into the complexity of mutation accumulation in multicellular organisms and a system to interrogate the factors that shape mutation abundance.
GPT-4o mini: Non-social science research article
G-quadruplexes as a source of vulnerability in BRCA2 - deficient granule cell progenitors and medulloblastoma
Danielle L. Keahi, Mathijs A. Sanders, Matthew R. Paul, Andrew L. H. Webster, Yin Fang, Tom F. Wiley, Samer Shalaby, Thomas S. Carroll, Settara C. Chandrasekharappa, Carolina Sandoval-Garcia, Margaret L. MacMillan, John E. Wagner, Mary E. Hatten, Agata Smogorzewska
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Biallelic pathogenic variants in the essential DNA repair gene BRCA2 cause Fanconi anemia complementation group D1. Patients in this group are highly prone to develop embryonal tumors, most commonly medulloblastoma arising from the cerebellar granule cell progenitors (GCPs). GCPs undergo high proliferation in the postnatal cerebellum under Sonic Hedgehog (SHH) activation, but the type of DNA lesions that require the function of the BRCA2 to prevent tumorigenesis remains unknown. To identify such lesions, we assessed both GCP neurodevelopment and tumor formation using a mouse model with deletion of exons three and four of Brca2 in the central nervous system, coupled with global Trp53 loss. Brca2 Δex3-4 ;Trp53 −/− animals developed SHH subgroup medulloblastomas with complete penetrance. Whole-genome sequencing of the tumors identified structural variants with breakpoints enriched in areas overlapping putative G-quadruplexes (G4s). Brca2 -deficient GCPs exhibited decreased replication speed in the presence of the G4-stabilizer pyridostatin. Pif1 helicase, which resolves G4s during replication, was highly upregulated in tumors, and Pif1 knockout in primary medulloblastoma tumor cells resulted in increased genome instability upon pyridostatin treatment. These data suggest that G4s may represent sites prone to replication stalling in highly proliferative GCPs and without BRCA2, G4s become a source of genome instability. Tumor cells upregulate G4-resolving helicases to facilitate rapid proliferation through G4s highlighting PIF1 helicase as a potential therapeutic target for treatment of BRCA2-deficient medulloblastomas.
GPT-4o mini: Non-social science research article
Quantum relaxometry for detecting biomolecular interactions with single NV centers
Min Li, Qi Zhang, Xi Kong, Sheng Zhao, Bin-Bin Pan, Ziting Sun, Pei Yu, Zhecheng Wang, Mengqi Wang, Wentao Ji, Fei Kong, Guanglei Cheng, Si Wu, Ya Wang, Sanyou Chen, Xun-Cheng Su, Fazhan Shi
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The investigation of biomolecular interactions at the single-molecule level has emerged as a pivotal research area in life science, particularly through optical, mechanical, and electrochemical approaches. Spins existing widely in biological systems offer a unique degree of freedom for detecting such interactions. However, most previous studies have been largely confined to ensemble-level detection in the spin degree. Here, we developed a molecular interaction analysis method approaching single-molecule level based on relaxometry using the quantum sensor, nitrogen-vacancy (NV) center in diamond. Experiments utilized an optimized diamond surface functionalized with a polyethylenimine nanogel layer, achieving ∌ 10 nm average protein distance and mitigating interfacial steric hindrance. Then we measured the strong interaction between streptavidin and spin-labeled biotin complexes, as well as the weak interaction between bovine serum albumin and biotin complexes, at both the micrometer scale and nanoscale. For the micrometer-scale measurements using ensemble NV centers, we reexamined the often-neglected fast relaxation component and proposed a relaxation rate evaluation method, substantially enhancing the measurement sensitivity. Furthermore, we achieved nanoscale detection approaching single-molecule level using single NV centers. This methodology holds promise for applications in molecular screening, identification, and kinetic studies at the single-molecule level, offering critical insights into molecular function and activity mechanisms.
GPT-4o mini: Non-social science research article
Substantial reductions in black carbon from both fossil fuels and biomass burning during China’s Clean Air Action
Junwen Liu, Fan Jiang, Qiongqiong Wang, Gan Zhang, Jun Li, Weihua Chen, Ping Ding, Sanyuan Zhu, Zhineng Cheng, Xiangyun Zhang, Qinge Sha, Zhijiong Huang, Xin Yuan, Junyu Zheng, Yanlin Zhang, Caiqing Yan, Chongguo Tian, Yingjun Chen, Jian Zhen Yu, Örjan Gustafsson
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Black carbon (BC) aerosols exacerbate air pollution and climate warming, but their climatic impacts and sources are poorly constrained by bottom–up emission inventories (EIs). China’s Clean Air Action (CAA), which was launched in 2013, provides an excellent opportunity for investigating interannual variations in source contributions and validate the accuracy of EIs. Here, we present an 11-y (2008–2018) record of the BC concentration and its source-diagnostic radiocarbon ( 14 C) and stable carbon isotope ( 13 C) signatures at a receptor site in the Pearl River Delta (PRD) region, South China. The results revealed that the implementation of the CAA (2014–2018) led to a 41% reduction in the BC concentration compared with that in the preaction period (2008–2013). There is a large and systemic discrepancy over the whole period in the contribution of biomass burning to BC in South China between predictions from technology-based EIs (4 to 9%) and these source-diagnostic dual-isotopic fingerprints of actual ambient aerosols (21 to 32%). Observational constraints by source-diagnostic ή 13 C/Δ 14 C isotope measurements revealed that the reduction in biomass burning contributed 22% to the decrease in BC associated with the CAA, whereas predictions from EIs assigned a much smaller fraction. These results emphasize the need for observation-based source diagnostics of changing BC emission sources. Detailed source apportionment using independent ή 13 C/Δ 14 C isotope methodology is crucial for refining air pollution control strategies and improving the accuracy of models used for assessing the air quality and climate effects of BC in China and elsewhere.
GPT-4o mini: Non-social science research article
FliO is an evolutionarily conserved yet diversified core component of the bacterial flagellar type III secretion system
Ekaterina P. Andrianova, Amanda L. Dobbins, Marc Erhardt, David R. Hendrixson, Igor B. Zhulin
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The bacterial flagellum is a complex nanomachine essential for motility, environmental sensing, and host colonization. While many of its core components have been well characterized, the relevance of proteins such as FliO, which are inconsistently annotated and poorly conserved at the sequence level, has remained ambiguous in their evolutionary and functional status. Here, we present a comprehensive phylogenomic and structural analysis of FliO across >30,000 representative genomes spanning >100 bacterial phyla. Additionally, during this analysis, we found that approximately 40% of bacterial genomes contain flagellar genes—significantly fewer than previously reported. Using a custom pipeline combining low-threshold Hidden Markov models searches, operon context analysis, and structural information, we demonstrate that FliO is present in ~95% of genomes encoding the core flagellar components FliP, FliQ, and FliR. This suggests that FliO is a nearly ubiquitous and ancestral core component of the flagellar type III secretion system (fT3SS). FliO exhibits considerable structural diversity, including lineage-specific acquisitions of LysM and AMIN domains. We identify FliO homologs not only in canonical flagellar systems but also in some virulence-associated T3SS and even some nonflagellated organisms, suggesting functional repurposing and highlighting its functional plasticity. Functional studies in Campylobacter jejuni reveal that FliO and its AMIN domain are critical for efficient amphitrichous flagellation, membrane stability of the export gate component FlhB, and colonization of the host. These findings establish FliO as a core, yet evolutionarily dynamic, component of flagella and provide insights into the evolution and diversification of bacterial secretion systems.
GPT-4o mini: Non-social science research article
Microvilli’s grip on T cell development
Allison T. Ryan, Minsoo Kim
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GPT-4o mini: Non-social science research article
Specificities of chemosensory receptors in the human gut microbiota
Wenhao Xu, Ekaterina Jalomo-Khayrova, Vadim M. Gumerov, Patricia A. Ross, Tania S. Köbel, Daniel Schindler, Gert Bange, Igor B. Zhulin, Victor Sourjik
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The human gut is rich in metabolites and harbors a complex microbial community, yet surprisingly little is known about the spectrum of chemical signals detected by the large variety of sensory receptors present in the gut microbiome. Here, we systematically mapped the ligand specificities of selected extracytoplasmic sensory domains from twenty members of the human gut microbiota, with a primary focus on the abundant and physiologically important class of Clostridia. Twenty-five metabolites from different chemical classes—including amino acids, nucleobase derivatives, amines, indole, and carboxylates—were identified as specific ligands for fifteen sensory domains from nine bacterial species, which represent all three major functional classes of transmembrane receptors: chemotaxis receptors, histidine kinases, and enzymatic sensors. We have further characterized the specificity and evolution of ligand binding to Cache superfamily sensors specific for lactate, dicarboxylic acids, and for uracil and short-chain fatty acids (SCFAs). Structural and biochemical analysis of the dCache sensor of uracil and SCFAs revealed that its two different ligand types bind at distinct sensory modules. Overall, combining experimental identification with computational analyses, we were able to assign ligands to approximately half of the Cache-type chemotaxis receptors found in the eleven gut commensal genomes from our set, with carboxylic acids representing the largest ligand class. Among these, the most commonly found ligand specificities were for lactate and formate, indicating a particular importance of these metabolites in the human gut microbiota and consistent with their observed growth-promoting effects on selected bacterial commensals.
GPT-4o mini: Non-social science research article
Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores
Adityanarayanan Radhakrishnan, Yajit Jain, Caroline Uhler, Eric S. Lander
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Large-scale scientific datasets today contain tens of thousands of random variables across millions of samples (for example, the RNA expression levels of 20,000 protein-coding genes across 30 million single cells). Being able to quantify dependencies between these variables would help us discover novel relationships between variables of interest. Simple measures of dependence, such as Pearson correlation, are fast to compute, but limited in that they are designed to detect linear relationships between variables. Complex measures are known with the ability to detect any kind of dependence, but they do not readily scale to many modern datasets of interest. We introduce the InterDependence Score (IDS), a scalable measure of dependence that captures linear and various nonlinear dependencies between random variables. Our IDS algorithm is motivated by a dependence measure defined in infinite-dimensional Hilbert spaces, capable of capturing any type of dependence, and a fast (linear time) algorithm that neural networks natively implement to compute dependencies between random variables. We apply IDS to identify 1) relevant variables for predictive modeling tasks, 2) sets of words forming topics from millions of documents, and 3) sets of genes related to “gene-expression programs” in tens of millions of cells. We provide an efficient implementation that computes IDS between billions of pairs of variables across millions of samples in several hours on a single GPU. Given its speed and effectiveness in identifying nonlinear dependencies, we envision IDS will be a valuable tool for uncovering insights from scientific data.
GPT-4o mini: Non-social science research article
Diverse thioether macrocyclized peptides through a radical SAM maturase
Karsten A. S. Eastman, Andrew G. Roberts, Vahe Bandarian
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Disulfide bonds stabilize many bioactive peptides, but their susceptibility to reduction under physiological conditions limits broad applicability in biotechnology. PapB is a promiscuous radical S -adenosyl-L-methionine enzyme that is involved in the maturation of PapA, which is a ribosomally produced and posttranslationally modified polypeptide. PapB introduces six thioether linkages between internal Cys residues and carbon atom that is α to the side-chain carboxylate of Asp/Glu residues C-terminal to the Cys residues. Herein, we show that PapB also efficiently couples an internal Cys thiol to the C-terminal carboxylate of peptides terminating in D- or ÎČ-amino acids, forming α- or ÎČ-thioether macrocycles. Moreover, PapB tolerates ÎČ- and N-methyl amino acids within the peptide, resulting in the formation of macrocycles that are comprised entirely of unnatural amino acids, such as peptides containing all ÎČ-residues. These findings establish PapB as a sequence-agnostic thioether ligase for efficient C-terminal macrocyclization. Our work expands the enzymatic toolbox for constructing conformationally constrained peptides for therapeutics and chemical biology.
GPT-4o mini: Non-social science research article
Negative interplay between HIV-1 Gag and amyloid precursor protein centers around competition for VPS4A and TSG101
Feng Gu, Mojgan H. Naghavi
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Intracellular multivesicular bodies (MVBs) act as sites of assembly and release of HIV type 1 (HIV-1) in macrophages and microglia. Recent work has shown that processing of amyloid precursor protein (APP) into a C-terminal fragment (CTF), termed C99, inhibits HIV-1 access to CD63+ MVBs and to counteract this, HIV-1 Group-specific antigen (Gag) increases C99 processing into toxic amyloids. However, the underlying reasons for this negative interplay between Gag and C99 remain unclear. Here, we show that HIV-1 Gag polyprotein and APP processing pathways intersect and compete, relying in different ways on two vesicular trafficking components: the endosomal sorting complexes required for transport protein, TSG101, and vacuolar protein sorting (VPS) subunit, VPS4A. VPS4A plays a complex role in infection by both directly regulating virion production and the abundance of distinct CTFs with differing subcellular localizations and effects on infection. Meanwhile, APP and C99’s use of TSG101 for insertion into vesicles limits Gag access to MVBs. Depletion of TSG101 resulted in impaired Gag localization to MVBs and processing into mature virions, and this could be partially reversed by codepletion of APP. By contrast, modulation of TSG101 or APP levels had no effect on the localization patterns of a Gag-P6 mutant that is unable to bind TSG101, while this mutant also failed to promote C99 degradation. Our findings reveal how CTF processing and HIV-1 maturation at MVBs converge in complex ways around VPS4A and TSG101, which in turn underlies how these processes negatively influence one another during virus replication in microglia.
GPT-4o mini: Non-social science research article
Radiocarbon dating of Jerusalem’s Siloam Dam links climate data and major waterworks
Johanna Regev, Nahshon Szanton, Filip Vukosavović, Itamar Berko, Yiftah Shalev, Joe Uziel, Eugenia Mintz, Lior Regev, Elisabetta Boaretto
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Using well-established microarchaeological sampling methods, we reached a precise radiocarbon date of 800 BC for the Siloam Pool’s monumental water dam in Jerusalem. This date is a critical link connecting several imposing waterworks constructed at that time. Climate data pointing to droughts and flash floods during the last decades of the 9th century BC provide a logical framework for the reasons behind such endeavors. These included the fortification of the city’s primary water source, the Gihon Spring, and the redirection of the water into the city through a channel to an artificial reservoir created by building the Siloam Dam at the end of the Tyropoeon Valley, which blocked the drainage of rain and redirected spring waters.
GPT-4o mini: Non-social science research article
Seeding of visceral adipose tissue with perinatally generated regulatory T cells shapes the metabolic tenor in mice
Miguel Marin-Rodero, Teshika Jayewickreme, Christophe Benoist, Diane Mathis
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The Foxp3 + CD4 + regulatory T cells (Tregs) generated around birth are phenotypically and functionally distinct from those engendered during adulthood. That perinatally produced Tregs persist for a protracted period in peripheral lymphoid organs has been well documented, as has their superior ability to protect the organism from many autoimmune diseases. However, their contribution to pools of nonlymphoid-tissue Tregs and their homeostatic functions therein have been little studied. We show that perinatal Tregs preferentially derive from a CD25 + Foxp3 − thymocyte progenitor; that they seed and persist to varying degrees in every nonlymphoid tissue examined; and that transient depletion of perinatally generated Tregs in adults, but not in neonates, is followed by poor reconstitution of Treg numbers and phenotypes in epididymal visceral-adipose tissue (eVAT) and the skin but not in several lymphoid and other nonlymphoid tissues. Potential clinical implications of such a deficiency are highlighted by findings on mice subjected to weight cycling: Imposing a low-fat–high-fat–low-fat diet regimen in adult, but not juvenile, mice results in an impoverished eVAT, but not spleen, Treg compartment, accompanied by normal weight gain and glucose tolerance but profound insulin resistance. These findings point to a layered immune system, the different layers exerting specialized, nonredundant functions.
GPT-4o mini: Non-social science research article
FADD DED filaments coordinate complex IIa assembly during TNF-induced apoptosis
Ying Chen, Vinh Thang Huynh, Lihua Lai, Ping Liu, Tongyang Li, Yaw Bia Tan, Che Shin Chew, Amhed Missael Vargas Velazquez, Firdaus Samsudin, Jan K. Marzinek, Peter J. Bond, Bin Wu, Dahai Luo, Vinay Tergaonkar
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Extrinsic apoptosis is initiated by signaling from death receptors, leading to the assembly of RIPK1, FADD, and caspase-8 complex. Subsequently, caspase-8 forms a filamentous structure through the oligomerization of its tandem death effector domain (tDED), resulting in caspase activation and cell death. Although the DED of FADD ( FADD DED) is homologous to the tDEDs of caspase-8 ( casp8 tDED) and both oligomerize to function, the functional form of FADD DED oligomer in extrinsic apoptosis remains unclear. Here, using cryogenic-electron microscopy, we elucidate the structure of FADD DED filaments comprising three helical chains assembled through three types of iterative interactions. Mutations disrupting FADD DED filament formation impair the recruitment of RIPK1 and caspase-8, and abrogate the cell death response, suggesting that FADD DED filamentation represents an important mechanistic step in the initiation of TNF-induced extrinsic apoptosis. Contrary to the belief that the homotypic death domains of RIPK1 and FADD are solely responsible for their interaction, we here show this interaction requires FADD DED filamentation. Furthermore, cFLIP can disrupt FADD DED filaments, uncovering an additional antiapoptotic mechanism of cFLIP beyond its disruption of caspase-8 filament. Molecular dynamics simulations reveal that FADD DED filament thermodynamically favors casp8 tDED monomer over FADD DED monomer, thus explaining the hierarchy and stoichiometry of FADD/caspase-8 complex assembly. These findings highlight the hitherto unappreciated roles of FADD DED filament formation in extrinsic apoptosis.
GPT-4o mini: Non-social science research article
The Medicago truncatula lncRNA ENOD40 is a mediator of microRNA169 -controlled NF-YA activity in nodule initiation
Tristan Wijsman, Nadia A. Mohd-Radzman, Jieyu Liu, Giles E. D. Oldroyd, Wouter Kohlen, Olga Kulikova, Renze Heidstra, Ben Scheres, Henk J. Franssen
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The hallmark of the legume lncRNA EARLY NODULIN40 ( ENOD40 ), involved in rhizobium-induced nodulation, is the presence of a highly conserved stretch of 24 nucleotides, designated box2, preceded by a small open-reading-frame (sORF) coding for a peptide of 12 to 13 amino acids. Although there is a well-established link between ENOD40 and nodulation, it is not fully clear by which mechanism ENOD40 functions in this process. Here, we show that a region harboring box2 can complement nodule formation in an ENOD40 knock-out mutant ( enod40-1-2/1 ). The sequence of box2 bears the characteristics of a miR169 target mimic. We show that the artificial target mimic MIM169defg can indeed complement the reduced capability of nodule formation in enod40-1-2/1 , and that box2 exhibits target mimic activity in a transient luciferase assay. In addition, the introduction of a miR169 -resistant form of MtNF-YA1 also elevates the capacity to form nodules in enod40-1-2/1. We conclude that ENOD40 effectuates nodule initiation by posttranscriptional upregulation of the miR169 target NF-YA1 , which encodes an essential transcription factor in this step of the nodulation process.
GPT-4o mini: Non-social science research article
Laser-emitting aqueous bioreactors for ultrasensitive bioactivity analysis
Guocheng Fang, Po-Hao Tseng, Jie Liao, Song Zhu, Tian Zhou, Hangrui Liu, Hui Zhu, Dayong Jin, Lan Yang, Yu-Cheng Chen
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Water droplets, acting as natural bioreactors and optical whispering-gallery-mode (WGM) resonators, hold the potential for laser-assisted analysis. However, water/aqueous droplet lasers can only survive in air with a limited lifespan (<100 s) due to rapid evaporation, restricting their applications in bioreactions. To address this challenge, we introduce laser-emitting aqueous bioreactors (LEABs) in fluorocarbon oils. These LEABs enable stable laser emission and extend a droplet lifespan over 1,000-fold. LEABs enable the encapsulation of bioactive materials for long-term analysis with unique lasing characteristic fingerprints. The reactions within LEAB can interact with the most resonating light, enhancing detection sensitivity by over 100-fold compared to conventional WGM sensors. By integrating LEABs with microfluidic droplet technology, we demonstrated their application in monitoring enzyme activity and cellular metabolism at single-cell and multicellular levels. Furthermore, we showed the laser threshold-gated screening of single yeast. This platform can bridge the gap between laser technology and biochemical applications, broadening the scope of laser-based analysis.
GPT-4o mini: Non-social science research article
STIM1 transmembrane helix dimerization captured by AI-guided transition path sampling
Ferdinand Horvath, Hendrik Jung, Herwig Grabmayr, Marc Fahrner, Christoph Romanin, Gerhard Hummer
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Stromal interaction molecule 1 (STIM1) is a Ca 2+ -sensing protein in the endoplasmic reticulum (ER) membrane. The depletion of ER Ca 2+ stores induces a large conformational transition of the cytosolic STIM1 C-terminus, initiated by the dimerization of the transmembrane (TM) domain. We use the AI-guided transition path sampling algorithm aimmd to extensively sample the dimerization of STIM1-TM helices in an ER-mimicking lipid bilayer. In nearly 0.5 ms of all-atom molecular dynamics simulations without bias potentials, we harvest over 170 transition paths, each about 1.2 ÎŒs long on average. We find that STIM1 dimerizes into three distinct and coexisting configurations, which reconciles conflicting results from earlier crosslinking studies. The dominant X-shaped bound state centers around contacts supported by the SxxxG TM interfacial motif. Mutating residues in this contact interface allows us to tune the STIM1-dimerization propensity in fluorescence experiments. From the trained model of the committor probability of dimerization, we identify the transition state ensemble for TM-helix dimerization. At the transition state, interhelical contacts in the luminal halves of the two monomers dominate, which likely enables the luminal Ca 2+ -sensing domain in STIM1 to condition the dimerization of the TM helices. Our work demonstrates the unique power of AI-guided simulations to sample rare and slow molecular transitions and to produce detailed atomistic insight into the mechanism of STIM1 TM-helix dimerization as a key step in ER Ca 2+ -sensing.
GPT-4o mini: Non-social science research article
Ovarian germline stem cell dedifferentiation is cytoneme dependent
Catherine Sutcliffe, Nabarun Nandy, Raluca Revici, Heather Johnson, Shukry J. Habib, Hilary L. Ashe, Scott G. Wilcockson
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Progenitor cell dedifferentiation is important for stem cell maintenance during tissue repair and age-related stem cell decline. Here, we use the Drosophila ovary as a model to study the role of cytonemes in bone morphogenic protein (BMP) signaling–directed germline stem cell (GSC) maintenance and dedifferentiation of germ cells to GSCs. We provide evidence that differentiating germ cell cysts extend longer cytonemes that are more polarized toward the niche during dedifferentiation to reactivate BMP signaling. The presence of additional somatic cells in the niche is associated with a failure of germ cell dedifferentiation, consistent with the formation of a physical barrier to cytoneme–niche contact and outcompetition of germ cells for BMP. Using BMP beads in vitro, we show that these are sufficient to induce cytoneme-dependent contacts in Drosophila tissue culture cells. We demonstrate that the Enabled (Ena) actin polymerase is localized to the tips of germ cell cytonemes and is necessary for robust cytoneme formation, as its mislocalization reduces the frequency, length, and directionality of cytonemes. During homeostasis, specifically perturbing cytoneme function through Ena mislocalization impairs GSC fitness by reducing GSC BMP signaling and niche occupancy. Disrupting cytonemes by targeting Ena during dedifferentiation reduces germ cell BMP responsiveness and the ability of differentiating cysts to dedifferentiate. Overall, our results provide evidence that cytonemes play a fundamental role in establishing polarized signaling and niche occupancy during stem cell maintenance and dedifferentiation.
GPT-4o mini: Non-social science research article
Hottest year in recorded history compounds global biodiversity risks
Cory Merow, Brian S. Maitner, Andreas Schwarz Meyer, Alex L. Pigot, Josep M. Serra-Diaz, Mark C. Urban
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As climate change accelerates, effectively monitoring and managing the growing impacts on biodiversity is an urgent priority. Here, we identify the exposure of species to unprecedented heat to evaluate the potential impact of 2024—the hottest year on record—across >33,000 vertebrate species worldwide. One in six (5,368) species were exposed to unprecedented temperatures across >25% of their range—68% more species than in 2023. Most (81%) species exposed in 2023 were also exposed in 2024, potentially compounding risks. For the first time, widespread species were exposed to extreme temperatures across >10% of their ranges. We propose using these exposure estimates to inform monitoring and mitigation efforts to avoid the worst impacts of climate change.
GPT-4o mini: Non-social science research article
Tuning water dissociation at oxide–electrolyte interfaces with electric fields
Chunyi Zhang, Zheng Yu, Roberto Car, Annabella Selloni
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Understanding how electric fields influence water dissociation at heterogeneous interfaces is crucial for controlling interfacial chemical reactions and advancing next-generation energy technologies. Herein, ab initio–based machine learning simulations show that even small electric field changes can significantly alter the water dissociation fraction at planar TiO 2 –electrolyte interfaces. The resulting free energy difference between undissociated and dissociated interfacial water exhibits a linear dependence on the field change with a slope of 1.97 e Å, which far exceeds the dissociation-induced dipole change of a water molecule. Employing a machine-learned collective variable to investigate the reaction statistics of thousands of water dissociation/recombination events, we find that small electric field changes exert minor effects on individual reaction energy barriers but significantly influence the populations of local configurations associated with initial states that are most favorable for reactions. These findings elucidate the pronounced impact of electric fields on interfacial water dissociation and reveal a mechanism for electric-field-controlled chemical reactions.
GPT-4o mini: Non-social science research article
Coordinated actions of NLR-assembled and glutamate receptor–like calcium channels in plant effector-triggered immunity
Junli Wang, Xinhua Sun, Fei Xiong, Dmitry Lapin, Tak Lee, Sergio Martin-Ramirez, Anna Prakken, Qiaochu Shen, Jaqueline Bautor, Takaki Maekawa, Jane E. Parker
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The plant immune system utilizes nucleotide-binding/leucine-rich repeat (NLR) proteins to detect pathogen virulence factors (effectors) inside host cells and transduce recognition to rapid defense. In dicotyledenous plants, pathogen activated Toll-like/interleukin-1 receptor-containing NLRs (TNLs) establish a signaling network of enhanced susceptibility 1 (EDS1)-family dimers with RPW8-type coiled-coil (CC R ) domain NLRs (RNLs) to stimulate transcriptional reprogramming leading to host cell death and pathogen restriction. Evidence suggests that TNL- and EDS1-activated RNLs function as oligomeric Ca 2+ permeable ion channels at the plasma membrane. However, the downstream processes for immunity execution are poorly understood. Here, we studied pathogen effector-triggered immunity conferred by Nicotiana benthamiana TNL (Roq1) which signals almost exclusively through the EDS1-senescence associated gene101 (SAG101)-N required gene 1 (NRG1) RNL module. We identify a pair of glutamate receptor–like Ca 2+ ion channels (GLR2.9a and GLR2.9b) which, unlike most other pathogen-induced GLRs, are highly up-regulated by the EDS1-SAG101-NRG1 module in the TNL immune response. We show that oligomeric NRG1 Ca 2+ channel activity is necessary for GLR2.9a and GLR2.9b induced expression. Consequently, GLR2.9a and GLR2.9b proteins contribute to NRG1 -dependent Ca 2+ accumulation in host cells, and to pathogen resistance and host cell death. We establish that GLR2.9a localizes mainly to the plasma membrane/cytoplasm whereas GLR2.9b accumulates preferentially at the nuclear envelope. The data show that transcriptionally up-regulated canonical Ca 2+ ion channels GLR2.9a and GLR2.9b are a functional output of the EDS1-SAG101-NRG1 module for TNL-triggered immunity.
GPT-4o mini: Non-social science research article
Self-generated chemotaxis of mixed cell populations
Mehmet Can Uçar, Zane Alsberga, Jonna Alanko, Michael Sixt, Edouard Hannezo
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Cell and tissue movement in development, cancer invasion, and immune response relies on chemical or mechanical guidance cues. In many systems, this behavior is locally directed by self-generated signaling gradients rather than long-range, prepatterned cues. However, how heterogeneous mixtures of cells interact nonreciprocally and navigate through self-generated gradients remains largely unexplored. Here, we introduce a theoretical framework for the self-organized chemotaxis of heterogeneous cell populations. We find that the relative chemotactic sensitivities of different cell populations control their long-time coupling and comigration dynamics, with boundary conditions such as external cell and attractant reservoirs substantially influencing the migration patterns. Our model predicts an optimal parameter regime that enables robust and colocalized migration. We test our theoretical predictions with in vitro experiments demonstrating the comigration of distinct immune cell populations, and quantitatively reproduce observed migration patterns under wild-type and perturbed conditions. Interestingly, immune cell comigration occurs close to the predicted optimal regime. Finally, we incorporate mechanical interactions into our framework, revealing a nontrivial interplay between chemotactic and mechanical nonreciprocity in driving collective migration. Together, our findings suggest that self-generated chemotaxis is a robust strategy for the navigation of mixed cell populations.
GPT-4o mini: Non-social science research article
Synaptic transmission is dispensable for selecting the winner input but is crucial for the subsequent events of synapse elimination
Tzu-Huei Kao, Yuto Okuno, Kyoko Matsuyama, Takaki Watanabe, Naofumi Uesaka, Masanobu Kano
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Synaptic transmission has long been thought to regulate neuronal wiring during postnatal development, but this assumption remains largely untested. Selective strengthening of a single “winner” climbing fiber (CF) afferent to each Purkinje cell (PC) and elimination of the other “loser” CF axons in the cerebellum has been a representative model of neural circuit refinement. Here, we examined the role of neurotransmission at CF-PC synapses in their postnatal development. We labeled a subset of CFs in neonatal mice with fluorescent markers and the tetanus toxin light chain to ablate neurotransmitter release from these CFs. Surprisingly, we found that such neurotransmitter release–deficient CFs were able to become the winners. However, synaptic transmission was crucial for the winning CF to extend its synaptic territory along the PC dendritic arbor and eliminate the loser CFs. These findings reveal how synaptic transmission governs multiple steps of synapse elimination but not the selection of the winner input that persists throughout life.
GPT-4o mini: Non-social science research article
Monoamine-induced diacylglycerol signaling rapidly accumulates Unc13 in nanoclusters for fast presynaptic potentiation
Natalie Blaum, Tina Ghelani, Torsten W. B. Götz, Keagan S. Chronister, Mercedes Bengochea, Livia Ceresnova, Christian F. Christensen, Thiago C. Moulin, Hanna Kern, Ulrich Thomas, Martin Heine, Stephan J. Sigrist, Alexander M. Walter
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Neuromodulators control mood, arousal, and behavior by inducing synaptic plasticity via G-protein-coupled receptors. While long-term presynaptic potentiation requires structural changes, mechanisms enabling potentiation within minutes remain unclear. Using the Drosophila neuromuscular junction, we show that octopamine, the invertebrate analog of norepinephrine, potentiates evoked neurotransmitter release on the timescale of one minute via a G-protein-coupled pathway involving presynaptic OAMB receptors and phospholipase C. This fast potentiation correlates with elevated signals of the release factor Unc13A and the scaffolding protein Bruchpilot. Live, single-molecule imaging of endogenously tagged Unc13 revealed its instantly reduced motility and increased concentration in synaptic nanoclusters with potentiation. Presynaptic knockdown of Unc13A fully blocked fast potentiation. Moreover, deleting its N-terminal localization sequence mislocalized the protein fragment to the cytosol, but still allowed for rapid plasma membrane recruitment by diacylglycerol (DAG) analog phorbol esters and octopamine, implicating a role of more C-terminal domains. A point mutation of endogenous Unc13 in its DAG-binding C1 domain blocked plasticity-induced nanoscopic enrichment and synaptic potentiation. The mutation increased basal neurotransmission but reduced Unc13 levels, revealing a gain of function and potential homeostatic compensation. The mutation also blocked phorbol ester–induced potentiation, decreased the calcium sensitivity of neurotransmission, and caused short-term synaptic depression. Homeostatic potentiation induced by postsynaptic receptor block mirrored octopamine-induced Unc13 recruitment and required presynaptic OAMB receptors, indicating overlapping machinery. Thus, rapid Unc13 immobilization and nanoscale compaction are salient features of fast presynaptic potentiation.
GPT-4o mini: Non-social science research article
Ice as a kinetic and mechanistic driver of oxalate-promoted iron oxyhydroxide dissolution
Angelo P. Sebaaly, Frank van Rijn, Khalil Hanna, Jean-François Boily
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Ice often mediates unexpected reactions in the Cryosphere, acting as a fascinating geochemical reactor. Mineral–organic interactions in frozen environments, such as soils and permafrost, are crucial for explaining the flux of soluble iron during melting events, yet the mechanisms remain misunderstood. This study elucidates the unique roles of freezing in the dissolution of iron oxyhydroxide nanoparticles (α–FeOOH) by oxalate, a low molecular weight dicarboxylate, under acidic conditions. From time-resolved experiments conducted over 4 d, we demonstrate that soluble iron was released through reactions in minute volumes of liquid water trapped between ice micrograins. Freeze concentration of nanoparticles, oxalate, and protons into this liquid water drove oxalate- and proton-promoted dissolution reactions at temperatures as low as −30 °C. Remarkably, ice at −10 °C dissolved more iron than liquid water at 4 °C under high oxalate loadings, and even more than at 25 °C under low oxalate loadings. In contrast, high salinity subdued dissolution. Also, sequential freeze-thaw cycles enhanced dissolution by releasing unreacted oxalate that was previously locked in ice. By resolving the chemical controls on mineral dissolution in ice, this work can help explain how freeze-thaw events are supplying new fluxes of soluble iron to nature.
GPT-4o mini: Non-social science research article
Fragmentation signatures in cancer patients resemble those of patients with vascular or autoimmune diseases
Samuel D. Curtis, Tingshan Liu, Yuxin Bai, Yuxuan Wang, Sambit Panda, Adam Li, Haoyin Xu, Eliza O’Reilly, Lisa Dobbyn, Maria Popoli, Janine Ptak, Natalie Silliman, Chris Thoburn, Jeanne Tie, Peter Gibbs, Lan T. Ho-Pham, Bich N. H. Tran, Thach S. Tran, Tuan V. Nguyen, Maximilian F. Konig, Michelle Petri, Antony Rosen, Christopher A. Mecoli, Ami A. Shah, Frits Mulder, Nick van Es, character(0), Chetan Bettegowda, Kenneth W. Kinzler, Nickolas Papadopoulos, Joshua T. Vogelstein, Bert Vogelstein, Christopher Douville, Frederikus A. Klok, Jan Beyer-Westendorf, Luis Jara-Palomares, Walter Ageno, Mike J.L. Peters, AurĂ©lien Delluc, Myron Best, Noori Guman, Hans-Martin Otten, Frits Mulder, Nick van Es
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Multiple case-controlled studies have shown that analyzing fragmentation patterns in plasma cell-free DNA (cfDNA) can distinguish individuals with cancer from healthy controls. However, there have been few studies that investigate various types of cfDNA fragmentomics patterns in individuals with other diseases. We therefore developed a comprehensive statistic, called fragmentation signatures, that integrates the distributions of fragment positioning, fragment length, and fragment end-motifs in cfDNA. We found that individuals with venous thromboembolism, systemic lupus erythematosus, dermatomyositis, or scleroderma have cfDNA fragmentation signatures that closely resemble those found in individuals with advanced cancers. Furthermore, these signatures were highly correlated with increases in inflammatory markers in the blood. We demonstrate that these similarities in fragmentation signatures lead to high rates of false positives in individuals with autoimmune or vascular disease when evaluated using conventional binary classification approaches for multicancer earlier detection (MCED). To address this issue, we introduced a multiclass approach for MCED that integrates fragmentation signatures with protein biomarkers and achieves improved specificity in individuals with autoimmune or vascular disease while maintaining high sensitivity. Though these data put substantial limitations on the specificity of fragmentomics-based tests for cancer diagnostics, they also offer ways to improve the interpretability of such tests. Moreover, we expect these results will lead to a better understanding of the process—most likely inflammatory—from which abnormal fragmentation signatures are derived.
GPT-4o mini: Non-social science research article
Macrophage TBK1 signaling drives the development and outgrowth of breast cancer brain metastasis
Fatima Khan, Yang Liu, Donovan Whitfield, Lizhi Pang, Heba Ali, Yuyun Huang, Fei Zhou, Robert S. Hagan, Katie Frenis, R. Grant Rowe, Peiwen Chen
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Tumor-associated macrophages (TAMs) are the predominant immune cells in the tumor microenvironment that promote breast cancer brain metastasis (BCBM). Here, we identify TANK-binding kinase (TBK1) as a critical signaling molecule enriched and activated in TAMs of BCBM tumors, playing an indispensable role in BCBM development and metastatic outgrowth in the brain. Mechanistically, BCBM cell-secreted matrix metalloproteinase 1 binds to protease-activated receptor 1 and integrin αVÎČ5 on macrophages, leading to TBK1 activation mediated by the nuclear factor-kappa B pathway. Reciprocally, TBK1-regulated TAMs produce granulocyte-macrophage colony-stimulating factor (GM-CSF) to drive breast cancer cell epithelial–mesenchymal transition, migration, and invasion, ultimately contributing to BCBM development and brain metastatic outgrowth. Inhibition of TBK1 signaling in TAMs or GM-CSF receptor in cancer cells impedes BCBM development and brain metastatic outgrowth. Correspondingly, the TBK1–GM-CSF signaling axis correlates with lower overall survival in patients with BCBM. Thus, TBK1-mediated tumor-TAM symbiotic interaction provides a promising therapeutic target for patients with BCBM.
GPT-4o mini: Non-social science research article
Future winters promise less snow, more rain. Nobody’s prepared
Amy McDermott
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GPT-4o mini: Non-social science research article
Hippocampal mismatch signals are based on episodic memories and not schematic knowledge
Dominika K. Varga, Petar P. Raykov, Elizabeth Jefferies, Aya Ben-Yakov, Chris M. Bird
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Prediction errors drive learning by signaling mismatches between expectations and reality, but the neural systems supporting these computations remain debated. The hippocampus is implicated in mismatch detection, yet it is not known whether it signals mismatches with episodic memories or generalized knowledge. Across three functional Magnetic Resonance Imaging (fMRI) experiments, we show that the hippocampus selectively responds to mismatches with episodic memories of specific events. In contrast, schematic mismatches engage Semantic Control and Multiple Demand Networks, as well as subcortical regions linked to prediction error signaling. Episodic mismatches also recruit the Default Mode Network. These findings challenge accounts that propose the hippocampus is a domain-general mismatch detector. Instead, the findings support a more specialized role for the hippocampus in learning that is underpinned by its well-established importance in processing episodic memories.
GPT-4o mini: Non-social science research article
Mid-Devonian ocean oxygenation enabled the expansion of animals into deeper-water habitats
Kunmanee Bubphamanee, Michael A. Kipp, Jana MeixnerovĂĄ, Eva E. StĂŒeken, Linda C. Ivany, Alexander J. Bartholomew, Thomas J. Algeo, Jochen J. Brocks, Tais W. Dahl, Jordan Kinsley, François L. H. Tissot, Roger Buick
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The oxygenation history of Earth’s surface environments has had a profound influence on the ecology and evolution of metazoan life. It was traditionally thought that the Neoproterozoic Oxygenation Event enabled the origin of animals in marine environments, followed by their persistence in aerobic marine habitats ever since. However, recent studies of redox proxies (e.g., Fe, Mo, Ce, I) have suggested that low dissolved oxygen levels persisted in the deep ocean until the Late Devonian, when the first heavily wooded ligniophyte forests raised atmospheric O 2 to modern levels. Here, we present a Paleozoic redox proxy record based on selenium enrichments and isotope ratios in fine-grained siliciclastic sediments. Our data reveal transient oxygenation of bottom waters around the Ediacaran–Cambrian boundary, followed by predominantly anoxic deep-water conditions through the Early Devonian (419 to 393 Ma). In the Middle Devonian (393 to 382 Ma), our data document the onset of permanent deep-ocean oxygenation, coincident with the spread of woody biomass across terrestrial landscapes. This episode is concurrent with the ecological occupation and evolutionary radiation of large active invertebrate and vertebrate organisms in deeper oceanic infaunal and epifaunal habitats, suggesting that the burial of recalcitrant wood from the first forests sequestered organic carbon, increased deep marine oxygen levels, and was ultimately responsible for the “mid-Paleozoic marine revolution.”
GPT-4o mini: Non-social science research article
Factors underlying a latitudinal gradient in the S/G lignin monomer ratio in natural poplar variants
Weiwei Zhu, Jin Zhang, Pradeep Kumar Prabhakar, Yen On Chan, Rachel A. Weber, Mengjun Shu, Ganesh Panzade, Connor J. Cooper, Russell B. Davidson, Jerry M. Parks, Breeanna R. Urbanowicz, Gerald A. Tuskan, Trupti Joshi, Richard A. Dixon, Wellington Muchero, Jaime Barros
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The chemical composition of wood plays a pivotal role in the adaptability and structural integrity of trees. However, few studies have investigated the environmental factors that determine lignin composition and its biological significance in plants. Here, we examined the lignin syringyl-to-guaiacyl (S/G) ratio in members of a Populus trichocarpa population sourced from their native habitat and conducted a genome wide association study to identify genes linked to lignin formation. Our results revealed many significant associations, suggesting that lignin biosynthesis is a complex polygenic trait. Additionally, we found an increase in the S/G ratio from northern to southern geographic origin of the trees sampled, along with a corresponding metabolic and transcriptional reprogramming of xylem cell wall biosynthesis. Further molecular analysis identified a mutation in a cell wall laccase genetically associated with higher S/G ratios that predominate in trees from warmer lower latitudes. Collectively, our findings suggest that lignin heterogeneity arises from an evolutionary process enabling poplar adaptation to different climatic challenges.
GPT-4o mini: Non-social science research article
Object-directed action representations are componentially built in parietal cortex
Leyla Roksan Caglar, Jon Walbrin, Emefa Akwayena, Jorge Almeida, Bradford Z. Mahon
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The inferior parietal lobule supports action representations that are necessary to grasp and use objects in a functionally appropriate manner [S. H. Johnson-Frey, Trends Cogn. Sci. 8 , 71–78 (2004)]. The supramarginal gyrus (SMG) is a structure within the inferior parietal lobule that specifically processes object-directed patterns of manipulation during functional object use. Here, we demonstrate that neural representations of complex object-directed actions in the SMG can be predicted by a linear encoding model that componentially builds complex actions from an empirically defined set of kinematic synergies. Each kinematic synergy represents a unique combination of finger, hand, wrist, and arm postures and movements. Control analyses demonstrate that models based on image-computable similarity (AlexNet, ResNet50, VGG16) robustly predict variance in visual areas, but not in the SMG. We also show that SMG activity is specifically modulated by kinematic (as opposed to visual) properties of object-directed actions. The action-relevant, as opposed to visually relevant, nature of the representations supported by the SMG aligns with findings from neuropsychological studies of upper limb apraxia. These findings support a model in which kinematic synergies are the basic unit of representation, out of which the SMG componentially builds object-directed actions. In combination with other findings [Q. Chen et al., Cereb. Cortex 28 , 2162–2174 (2018)], we suggest that kinematic synergies are related to complex object-directed actions in a similar way to how articulatory and voicing features combine to form phonological segments in spoken language production.
GPT-4o mini: Non-social science research article
Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations
Lennart Wittkuhn, Lena M. Krippner, Christoph Koch, Nicolas W. Schuck
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Humans can implicitly learn about multistep sequential relationships between events in the environment from their statistical co-occurrence. Theoretical work has suggested that neural replay is a candidate mechanism that aids such learning. Here, we used functional MRI (fMRI) to test whether replay is related to implicit learning of higher-order sequential relationships. Human participants viewed sequences of images that followed probabilistic transitions determined by ring-like graph structures. Behavioral modeling of response times revealed that participants acquired multistep transition knowledge in a manner consistent with gradual updating of an internal successor representation (SR) model. Yet, half of participants did not report being aware of any sequential task structure, and most participants failed to provide meaningful transition probability ratings in a posttask test. Analyses of temporal dynamics of multivariate fMRI patterns during brief 10 s pauses from the ongoing statistical learning task indicated backward sequential replay of multistep sequences in visual cortical areas. Variations in model parameters between participants that captured response time patterns related to strength of neural replay. No corresponding relations between replay and measures of explicit awareness were found. These findings indicate that implicit learning of higher-order relationships establishes an internal SR-based map of the task and is accompanied by cortical on-task replay.
GPT-4o mini: Non-social science research article
Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine
Samuel D. Curtis, Sambit Panda, Adam Li, Haoyin Xu, Yuxin Bai, Itsuki Ogihara, Eliza O’Reilly, Yuxuan Wang, Lisa Dobbyn, Maria Popoli, Janine Ptak, Nadine Nehme, Natalie Silliman, Jeanne Tie, Peter Gibbs, Lan T. Ho-Pham, Bich N. H. Tran, Thach S. Tran, Tuan V. Nguyen, Ehsan Irajizad, Michael Goggins, Christopher L. Wolfgang, Tian-Li Wang, Ie-Ming Shih, Amanda Fader, Anne Marie Lennon, Ralph H. Hruban, Chetan Bettegowda, Lucy Gilbert, Kenneth W. Kinzler, Nickolas Papadopoulos, Bert Vogelstein, Joshua T. Vogelstein, Christopher Douville
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AI is now a cornerstone of modern dataset analysis. In many real world applications, practitioners are concerned with controlling specific kinds of errors, rather than minimizing the overall number of errors. For example, biomedical screening assays may primarily be concerned with mitigating the number of false positives rather than false negatives. Quantifying uncertainty in AI-based predictions, and in particular those controlling specific kinds of errors, remains theoretically and practically challenging. We develop a strategy called multidimensional informed generalized hypothesis testing (MIGHT) which we prove accurately quantifies uncertainty and confidence given sufficient data, and concomitantly controls for particular error types. Our key insight was that it is possible to integrate canonical cross-validation and parametric calibration procedures within a nonparametric ensemble method. Simulations demonstrate that while typical AI based-approaches cannot be trusted to obtain the truth, MIGHT can be. We apply MIGHT to answer an open question in liquid biopsies using circulating cell-free DNA (ccfDNA) in individuals with or without cancer: Which biomarkers, or combinations thereof, can we trust? Performance estimates produced by MIGHT on ccfDNA data have coefficients of variation that are often orders of magnitude lower than other state of the art algorithms such as support vector machines, random forests, and Transformers, while often also achieving higher sensitivity. We find that combinations of variable sets often decrease rather than increase sensitivity over the optimal single variable set because some variable sets add more noise than signal. This work demonstrates the importance of quantifying uncertainty and confidence—with theoretical guarantees—for the interpretation of real-world data.
GPT-4o mini: Non-social science research article
Migration shapes senescence in a long-lived bird
Hugo Cayuela, Sébastien Roques, Antoine Arnaud, Christophe Germain, Arnaud Béchet, Jocelyn Champagnon
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Each year, billions of animals migrate across the globe on diverse spatial and temporal scales. Migration behavior thus plays a fundamental role in the life cycle and Darwinian fitness of many organisms. While the influence of migration on early-life survival and reproduction is well documented, its effects on senescence (aging) in advanced age remain largely unexplored. Using a unique 44-y ring-resighting dataset from a long-lived, partially migratory bird species, the Greater Flamingo ( Phoenicopterus roseus ), we demonstrate that migration plays a key role in shaping age-specific trajectories of mortality and reproduction. Resident flamingos exhibit higher early-life demographic performances, with lower baseline mortality than migrants, resulting in longer adult lifespan. Residents also have a higher probability of breeding than migrants, though their breeding success is similar. However, residents seem to pay for their early-life advantages in old age, experiencing accelerated actuarial and reproductive senescence compared to migrants. Overall, our study highlights the critical impact of migration on survival and reproduction throughout life, thereby illustrating the role played by behavioral decisions in the biology of aging in long-lived vertebrates.
GPT-4o mini: Non-social science research article
Single-strand DNA is the link between neutrophil extracellular traps and thrombin
Craig Jenne, Paul Kubes
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GPT-4o mini: Non-social science research article
Nano-biochar regulates phage–host interactions, reducing antibiotic resistance genes in vermicomposting systems
Ting Xie, Da Lin, Xing-Da Cai, Li-Juan Ma, Lu Wang, Tian-Gui Cai, Yu-Qiu Ye, Luo-Qin Shen, Ming-Ming Sun, Mao Ye, Roy Neilson, Dong Zhu
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Biochar amendment reshapes microbial community dynamics in vermicomposting, but the mechanism of how phages respond to this anthropogenic intervention and regulate the dissemination of antibiotic resistance genes (ARGs) remains unclear. In this study, we used metagenomics, viromics, and laboratory validation to explore how nano-biochar affects phage–host interactions and ARGs dissemination in vermicomposting. Our results revealed distinct niche-specific phage life strategies. In vermicompost, lytic phages dominated and used a “kill-the-winner” strategy to suppress antibiotic-resistant bacteria (ARB). In contrast, lysogenic phages prevailed in the earthworm gut, adopting a “piggyback-the-winner” strategy that promoted ARGs transduction through mutualistic host interactions. Nano-biochar induced the conversion of lysogenic to lytic phages in the earthworm gut, while concurrently reducing the abundance of lysogenic phages and their encoded auxiliary metabolic genes carried by ARB. This shift disrupted phage–host mutualism and inhibited ARGs transmission via a “phage shunting” mechanism. In vitro validation with batch culture experiments further confirmed that lysogenic phages increased transduction of ARGs in the earthworm gut, while nano-biochar reduced the spread of ARGs by enhancing lysis infectivity. Our study constructs a mechanistic framework linking nano-biochar induced shifts in phage lifestyles that suppress ARG spread, offering insights into phage–host coadaptation and resistance mitigation strategies in organic waste treatment ecosystems.
GPT-4o mini: Non-social science research article
Shared metabolism between a bacterial and fungal species that reside in the human gut
Haley Gause, Alexander D. Johnson
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The fungal species Candida albicans and the bacterium Enterococcus faecalis are members of the human gut microbiome. To explore the range of interactions between these two species, we utilized dual RNA-sequencing to transcriptionally profile both C. albicans and E. faecalis during coculture (compared with monoculture controls) under two conditions: 1) an in vitro setting that mimics certain features of the gut environment and 2) a gnotobiotic mouse gut model. RNA-seq analysis revealed a large number of gene expression changes induced by one species in the presence of the other. More specifically, both species highly upregulate citrate-metabolizing genes during coculture: C. albicans upregulates CIT1 (citrate synthase) which produces citrate, while E. faecalis upregulates its cit operon, which breaks down citrate. In vitro analysis showed directly that citrate cross-feeding (production of citrate by C. albicans and breakdown by E. faecalis) enhances growth of E. faecalis . A main byproduct of citrate metabolism in E. faecalis is formate, a short chain fatty acid toxic to fungi. Our RNA profiling revealed that C. albicans upregulates three formate dehydrogenases (FDHs) during coculture; we show that the FDH genes confer a growth advantage to C. albicans when E. faecalis (or simply formate) is present. These findings reveal a metabolically driven cycle between C. albicans and E. faecalis in the mouse gut and in vitro, where cross-feeding of citrate and detoxification of formate facilitates the growth of both species when they are cultured together.
GPT-4o mini: Non-social science research article
SHP2 genetic variants in NSML-associated RASopathies disrupt the PZR–IRX transcription factor signaling axis
Sravan Perla, Amy L. Stiegler, Jae-Sung Yi, Liz Enyenihi, Lei Zhang, Muhammad Riaz, Elvira An, Yibing Qyang, Titus J. Boggon, Anton M. Bennett
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Noonan syndrome with multiple lentigines (NSML) is a rare autosomal dominant disorder caused by mutations in PTPN11 (protein tyrosine phosphatase nonreceptor type 11) which encodes for the protein tyrosine phosphatase, SHP2. Approximately 85% of NSML patients develop hypertrophic cardiomyopathy (HCM). Here, we show that SHP2 is recruited to tyrosyl phosphorylated protein-zero related (PZR) in NSML mice. This recruitment is required for the Iroquois homeobox (IRX) transcription factors 3 and 5 to suppress BMP10 which negatively regulates postnatal cardiac growth. The protein expression of IRX3 and IRX5 was elevated in hypertrophied NSML hearts. IRX3 and IRX5 upregulation was rescued in NSML mice harboring a knock-in mutation of PZR that fails to become tyrosyl phosphorylated and recruit SHP2. NSML mice treated with low-dose dasatinib also exhibited normalized IRX3 and IRX5 expression levels. Consistent with this, BMP10 expression levels were reduced in NSML mice and rescued in PZR tyrosyl phosphorylation-deficient and low-dose dasatinib-treated NSML mice. A crystal structure of the tandem SH2 domains of SHP2 bound to tyrosyl phosphorylated PZR reveals that recruitment constrains the open SHP2 conformation to facilitate cellular-Src (c-Src) binding. Disruption of c-Src binding to SHP2 abolished IRX activation and failure to suppress BMP10. Hence, NSML-associated SHP2 genetic variants disrupt IRX transcription factor signaling to BMP10, implicating this axis as a target for RASopathy-associated HCM.
GPT-4o mini: Non-social science research article
N 6 -methyladenine modification of DNA enhances RecA-mediated homologous recombination
Xiao-Cong Zhao, Bin Wu, Ya-Jun Yang, Ying Li, Qi-Yuan Qiu, Liu Wang, Ya-Peng Xu, Han Gong, Lun Song, Xue-Jie Wang, Jing-Yao Shi, Xue-Feng Chen, Shao-Ran Zhang, Qi Zong, Liang Dai, Shi-Shen Du, Yan Zhang, Wen-Qiang Wu, Xing-Hua Zhang
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Both DNA methylation and homologous recombination (HR) are extensively studied. In bacteria, Dam methylation is the most studied DNA modification, while RecA-mediated HR is a primary mechanism to repair DNA damages including double-stranded breaks, single-stranded gaps, and stalled replication forks. While HR regulation by proteins is extensively studied, whether methylation of DNA itself directly affects the functions of RecA and HR remains unclear. Mainly by single-molecule experiments, we report that Dam methylation of single-stranded DNA (ssDNA) promotes RecA assembly, partially by reducing the effective charge of ssDNA under counterion screening. Furthermore, Dam methylation of double-stranded DNA promotes homologous pairing, joint molecule growth, and strand exchange. In cellular experiments, dam deletion impairs HR, whereas hypermethylation of the adenines in the genome enhances HR in P1 transduction assays and DNA-damage sensitivity tests without significantly upregulated HR-related genes. In addition, the preference of RecA for Dam-methylated DNA in RecA assembly and homologous pairing is conserved across divergent species covering a gram-negative bacterium Klebsiella pneumoniae , a gram-positive bacterium Bacillus subtilis, and a flowering plant Arabidopsis thaliana . Dam methylation of ssDNA increases the ATPase activity of molecular motors such as RecQ helicase that containing RecA-like domains. These findings reveal effects of DNA methylation and mechanisms regulating RecA-mediated HR and molecular motors.
GPT-4o mini: Non-social science research article
CO 2 hydration at the air–water interface: A surface-mediated “in-and-out” mechanism
Samuel G. H. Brookes, Venkat Kapil, Angelos Michaelides, Christoph Schran
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An understanding of the CO 2 + H 2 O hydration reaction is crucial for modeling the effects of ocean acidification, for enabling novel carbon storage solutions, and as a model process in the geosciences. While the mechanism of this reaction has been investigated extensively in the condensed phase, its mechanism at the air–water interface remains elusive, leaving uncertain the contribution that surface-adsorbed CO 2 makes to the overall acidification reaction. In this study, we employ machine-learned potentials trained to various levels of theory to provide a molecular-level understanding of CO 2 hydration at the air–water interface. We show that reaction at the interface follows a surface-mediated “in-and-out” mechanism: CO 2 diffuses into the aqueous surface layer, reacts to form carbonic acid, and is subsequently expelled from solution. We show that this surface layer provides a bulk-like solvation environment, engendering similar modes of reactivity and near-identical free energy profiles for the bulk and interfacial processes. Our study unveils an unconventional reaction mechanism that underscores the dynamic nature of the molecular reaction site at the air–water interface. The similarity between bulk and interfacial profiles shows that CO 2 hydration is equally as feasible under these two solvation environments and that acidification rates are likely enhanced by this additional surface contribution.
GPT-4o mini: Non-social science research article
Broad neutralizing antibody response of a monomeric spike–based SARS-CoV-2 bivalent vaccine against diverse variants
Siling Wang, Hui Sun, Yizhen Wang, Zikang Wang, Lunzhi Yuan, Huilin Guo, Jiahua Gao, Miaolin Lan, Yangtao Wu, Huixian Shang, Xiuting Chen, Zheng Chen, Jiayi Hu, Zimin Tang, Guiping Wen, Dong Ying, Chang Liu, Yanan Jiang, Jinfu Su, Min Lin, Ting Wu, Shaowei Li, Tianying Zhang, Jun Zhang, Yi Guan, Ningshao Xia, Quan Yuan, Qingbing Zheng, Yali Zhang, Zizheng Zheng
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severeacute respiratory syndrome coronavirus 2 (SARS-CoV-2) bivalent vaccines show potential against variants but lack a full understanding of the immunological mechanisms that drive broadly neutralizing antibodies (bnAbs). This study explored the immunogenicity of a bivalent vaccine in rhesus macaques, containing spike (S) proteins from the prototype (S prototype ) and chimeric S protein (S 1628x ). The vaccine induced bnAbs against multiple variants, including challenging subvariants like EG.1, BA.2.86, and JN.1. The monomeric S protein exposed less accessible regions within the receptor-binding domain (RBD) “inner face” and “NTD face” and subdomains 1, eliciting a diverse array of bnAbs against various Omicron subvariants. Notably, antibodies targeting the conserved RBD inner face, such as 4A5, showed potent neutralization across all tested variants. Structural analyses provide insights into the broad protectiveness of these vaccine-elicited nAbs. This study underscores the potential of bivalent vaccines with monomeric spike proteins to confer broad-spectrum immunity, offering a promising direction for future SARS-CoV-2 universal vaccine design.
GPT-4o mini: Non-social science research article
G-quadruplex stabilization induces DNA breaks in pericentromeric repetitive DNA sequences in B lymphocytes
Irina Waisertreiger, Kalkidan Ayele, Mehad Hilal Elshaikh, Jacqueline H. Barlow
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DNA secondary G-quadruplex (G4) structures can impair and even obstruct DNA replication. Defects in processing G4 structures are associated with replication stress, a common property of both B cell cancers and hyperproliferative premalignant cells. Genome instability arising from replication stress is a hallmark of cancer and strongly contributes to the chromosome rearrangements in B cell cancers. Here, we define the impact of G4-stabilizing ligands on generating genome instability in primary and malignant B cells. Treatment with the G4-stabilizing compound pyridostatin (PDS) causes breaks and chromosome rearrangements at ribosomal DNA and pericentromeric major satellite regions in both mouse primary B cell culture and CH12 lymphoma cells. PDS also causes extensive pericentromeric DNA damage in immortalized human B cell lines. Remarkably, PDS causes high level of tetraploid metaphase cells correlated with high level of dicentric chromosomes specifically in primary but not in CH12 B cells. Unlike primary B cells, CH12 cells undergo checkpoint activation and strong G2/M arrest in response to PDS treatment thus preventing tetraploid appearance. Altogether, these results highlight the difference between primary and malignant B cells in response to PDS, revealing the therapeutic potential of G4-stabilizing drugs to selectively suppress tumor cell growth and proliferation.
GPT-4o mini: Non-social science research article
9,000-year-old barley consumption in the foothills of central Asia
Xinying Zhou, Robert N. Spengler, Bahediyoh Sayfullaev, Khasanov Mutalibjon, Jian Ma, Junchi Liu, Hui Shen, Keliang Zhao, Guanhan Chen, Jian Wang, Thomas A. Stidham, Hai Xu, Guilin Zhang, Qingjiang Yang, Yemao Hou, Jiacheng Ma, Nasibillo Kambarov, Hongen Jiang, Farhod Maksudov, Steven Goldstein, Jianxin Wang, Dorian Q. Fuller, Xiaoqiang Li
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Scholars are increasingly favoring models for the origins of agriculture that involve a protracted process of increasing interdependence within a series of mutualistic relationships between humans and plants, as opposed to a rapid single event or innovation. Nonetheless, these scholars continue to debate over when people first started foraging for grass seeds, when they began to readily utilize sickles, how prominent the early selection pressures were, and when the first traits of domestication fully introgressed into the cultivated grass population. Here, we present complementary archaeobotanical and archaeological (stone tool) evidence for cereal foragers from Toda-1 Cave in the Surkhan Darya, dating to 9200 cal BP. We conclude that early Holocene foragers were processing grains along with nuts and fruits as far north as the rich river valleys of southern Uzbekistan. These data expand the known range that preagricultural cereal foragers covered in the early Holocene, adding to our understanding of the cultural processes that led to farming. Additionally, we present the earliest evidence for people interacting with the progenitors for pistachios and apples (or a close apple relative). The complex foraging behaviors that led to cultivation were being undertaken by people during the early Holocene across a wider area of Eurasia than previously thought.
GPT-4o mini: Non-social science research article
Aphid herbivory on macrophytes drives adaptive evolution in an aquatic community via indirect effects
Martin SchĂ€fer, Antonino MalacrinĂČ, Christoph Walcher, Piet Spaak, Marie Serwaty-SĂĄrazovĂĄ, Silvana KĂ€ser, Thea Bulas, Christine Dambone-Bösch, Eric Dexter, JĂŒrgen Hottinger, Laura Böttner, Christoph Vorburger, Dieter Ebert, Shuqing Xu
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Indirect ecological effects occur when the impact of one species on another is mediated by a third species or the shared environment. Although indirect effects are ubiquitous in nature, we know remarkably little about how they may drive ecoevolutionary processes across community boundaries. Here, we show that insect (aphid) herbivory on macrophytes (duckweed) drove the adaptive evolution of a planktonic crustacean ( Daphnia magna ) in large outdoor aquatic mesocosms via indirect ecological effects. Aphid herbivory reduced duckweed growth and increased the nutrient and light availability in the water column, which promoted phytoplankton growth and boosted the abundance of D. magna that feed on phytoplankton. Whole-genome pool-sequencing and phenotypic assays revealed aphid-herbivory-mediated evolutionary changes to Daphnia population. Transplant experiments indicated that these evolutionary changes were adaptive. Furthermore, aphid-herbivory-mediated biotic and abiotic changes in the aquatic community increased the performance of the macrophytes and aphids. These results demonstrate that indirect ecological effects can shape ecoevolutionary interactions between seemingly independent species in natural communities.
GPT-4o mini: Non-social science research article
RyR1-mediated Ca 2+ -induced Ca 2+ release plays a negligible role in excitation–contraction coupling of normal skeletal muscle
Takuya Kobayashi, Toshiko Yamazawa, Nagomi Kurebayashi, Masato Konishi, Jun Tanihata, Masami Sugihara, Yoshifumi Miki, Satoru Noguchi, Yukiko U. Inoue, Takayoshi Inoue, Takashi Sakurai, Takashi Murayama
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Type 1 ryanodine receptor (RyR1) is a Ca 2+ release channel in the sarcoplasmic reticulum in skeletal muscle. In excitation–contraction (E-C) coupling, RyR1 opens by depolarization of transverse tubule membrane via physical interaction with dihydropyridine receptor, which is referred to as depolarization-induced Ca 2+ release (DICR). RyR1 can also be gated via Ca 2+ -induced Ca 2+ release (CICR), in which binding of Ca 2+ directly opens the channel. Thus, RyR1 has two Ca 2+ release modes; DICR and CICR, but the physiological role of CICR has been a matter of debate: whether CICR can amplify Ca 2+ signals in E-C coupling. To address this issue, we created a mouse model carrying a mutation in the Ca 2+ -binding site in RyR1 (RyR1-E3896A), which selectively inhibits CICR. Surprisingly, the homozygous RyR1-E3896A mice show no appreciable changes in E-C coupling, ex vivo muscle contraction, in vivo muscle performance, or muscle fiber type. Gain-of-function mutations in RyR1 cause malignant hyperthermia (MH), which is a lethal disease triggered by inhalational anesthetics. The E3896A mutation conferred resistance to isoflurane-induced MH episodes and severe heat stroke triggered by environmental heat stress. Our data suggest that RyR1-mediated CICR plays a negligible role in E-C coupling of normal skeletal muscle but may increase the risk for muscle diseases when excessively activated.
GPT-4o mini: Non-social science research article
Quantum metric–induced giant and reversible nonreciprocal transport phenomena in chiral loop-current phases of kagome metals
Rina Tazai, Youichi Yamakawa, Takahiro Morimoto, Hiroshi Kontani
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Emergence of quantum orders with nontrivial quantum geometric properties in metals represent central issues in condensed matter physics. In this context, recently discovered chiral loop-current order in kagome metals has garnered significant attention. Particularly noteworthy is the giant electrical magnetochiral anisotropy (eMChA) observed in CsV 3 Sb 5 , which provides compelling evidence for the simultaneous breaking of time-reversal and inversion symmetries. However, the origin of the eMChA and its fundamental connection to the loop-current remain highly elusive, as the loop-current itself preserves inversion symmetry. Here, we demonstrate that the loop-current phase breaks inversion symmetry in the presence of the experimentally observed stripe charge-density wave, leading to finite eMChA coefficient Îł eM . In this mechanism, Îł eM is proportional to the product of the loop-current-induced orbital magnetization, M orb 0 , and the lifetime of conduction electrons, τ . Therefore, Îł eM is reversible by the magnetic fields, and it takes large value in kagome metals with τ v Fermi ≫ a 0 (=lattice constant). Surprisingly, the quantum metric, which defines a fundamental geometric aspect of Bloch wavefunctions, acquires significant momentum dependence in the loop-current phase, resulting in a dramatic enhancement of eMChA by ∌100 times. This research not only clarifies the fundamental symmetry-breaking states in kagome metals but also opens a path for exploring quantum metric–induced phenomena arising from exotic quantum phase transitions in various metals.
GPT-4o mini: Non-social science research article
A ÎČ-cap on the FliPQR protein-export channel acts as the cap for initial flagellar rod assembly
Miki Kinoshita, Tomoko Miyata, Fumiaki Makino, Katsumi Imada, Keiichi Namba, Tohru Minamino
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The FliPQR complex constitutes a channel for export of the flagellar proteins involved in axial structure assembly. It also serves as a template for the assembly of the rod structure, which consists of FliE, FlgB, FlgC, FlgF, and FlgG. FliP, FliQ, and FliR assemble into a right-handed helical structure within the central pore of the flagellar basal body MS-ring, and the complex has two gates on the cytoplasmic and periplasmic sides. The periplasmic gate, formed by the N-terminal α-helices of FliP and FliR, remains closed until six FliE subunits assemble onto FliP and FliR to form the first layer of the rod, but it has remained unclear how each FliE subunit opens the gate and assembles in the absence of the rod cap required for efficient assembly of other rod proteins. Here, we present a cryoelectron microscopy structure of the FliPQR complex in closed form at 3.0 Å resolution. A ÎČ-cap, formed by the N-terminal ÎČ-strands of FliP and FliR, is located at the top of the FliPQR complex and tightly seals the closed gate. The ÎČ-cap has a narrow pore that efficiently and accurately leads the first FliE subunit to its assembly site. Interactions of FliE with FliP and FliR induce a conformational change in FliP and FliR, with their N-terminal α-helices move up and outward to open the gate. Consequently, each of the N-terminal ÎČ-strands of FliP and FliR detaches from the ÎČ-cap one after another, thereby creating a docking site for the next FliE subunit to efficiently assemble.
GPT-4o mini: Non-social science research article
Symbiosis with and mimicry of corals were facilitated by immune gene loss and body remodeling in the pygmy seahorse
Meng Qu, Yingyi Zhang, Joost Woltering, Yali Liu, Zixuan Liu, Shiming Wan, Han Jiang, Haiyan Yu, Zelin Chen, Xin Wang, Zhixin Zhang, Geng Qin, Ralf Schneider, Axel Meyer, Qiang Lin
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A remarkable example of symbiosis involves the pygmy seahorse ( Hippocampus bargibanti ). It lives obligatorily on gorgonian corals, mimicking their polyps with pink coloration and skin protuberances. Unique for seahorses, pygmy seahorses retain juvenile paedomorphic stunted snouts, resembling the coral’s polyps. We analyzed the tiny seahorse’s genome revealing the genomic bases of several adaptations to their mutualistic life including substantial reductions in conserved noncoding elements that are associated with genes in the vicinity of those CNEs that are known to play a role in growth and metamorphosis-related pathways. Comparative RNA- and ATAC-Seq analyses during their ontogeny suggest that their stunted snout might result from craniofacial remodeling associated with hoxa2b defunctionalization. This is consistent also with findings from in situ hybridization and CRISPR experiments. Their immune system shows extremely low numbers of MHC genes and additional considerable losses of other immune-related genes. This is likely facilitated by the host coral’s antimicrobial metabolites and by the earlier evolution of male pregnancy that requires immunotolerance.
GPT-4o mini: Non-social science research article
Cellular cartography reveals mouse prostate organization and determinants of castration resistance
Hanbyul Cho, Yuping Zhang, Jean C. Tien, Rahul Mannan, Jie Luo, Sathiya Pandi Narayanan, Somnath Mahapatra, Jing Hu, Greg Shelley, Gabriel Cruz, Miriam Shahine, Lisha Wang, Fengyun Su, Rui Wang, Xuhong Cao, Saravana Mohan Dhanasekaran, Evan T. Keller, Sethuramasundaram Pitchiaya, Arul M. Chinnaiyan
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Inadequate response to androgen deprivation therapy (ADT) frequently arises in prostate cancer, driven by cellular mechanisms that remain poorly understood. Here, we integrated single-cell RNA sequencing, single-cell multiomics, and spatial transcriptomics to define the transcriptional, epigenetic, and spatial basis of cell identity and castration response in the mouse prostate. Leveraging these data along with a meta-analysis of human prostates and prostate cancer (PCa), we identified cellular orthologs and key determinants of ADT response and resistance. Our findings reveal that mouse prostates harbor lobe-specific luminal epithelial cell types distinguished by unique gene regulatory modules and anatomically defined androgen-responsive transcriptional programs, indicative of divergent developmental origins. Androgen-insensitive, stem-like epithelial populations—resembling human club and hillock cells—are notably enriched in the urethra and ventral prostate but are rare in other lobes. Within the ventral prostate, we also uncovered two additional androgen-responsive luminal epithelial cell types, marked by Pbsn or Spink1 expression, which align with human luminal subsets and may define the origin of distinct PCa subtypes. Castration profoundly reshaped luminal epithelial transcriptomes, with castration-resistant luminal epithelial cells activating stress-responsive and stemness programs. These transcriptional signatures are enriched in tumor cells from ADT-treated and castration-resistant PCa patients, underscoring their likely role in driving treatment resistance. Temporal tracking of cells will precisely map disease-associated cellular transitions, and our technical framework facilitates such interrogations. Collectively, our comprehensive cellular atlas of the mouse prostate illuminates the importance of lobe-specific contexts for PCa modeling and reveals potential therapeutic targets to counter castration resistance.
GPT-4o mini: Non-social science research article
Protein functional site annotation using local structure embeddings
Alexander Derry, Alp Tartici, Russ B. Altman
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The rapid expansion of protein sequence and structure databases has resulted in a significant number of proteins with ambiguous or unknown function. While advances in machine learning techniques hold great potential to fill this annotation gap, current methods for function prediction are unable to associate global function reliably to the specific residues responsible for that function. We address this issue by introducing PARSE (Protein Annotation by Residue-Specific Enrichment), a knowledge-based method which combines pretrained embeddings of local structural environments with traditional statistical techniques to simultaneously predict function and provide residue-level annotations. For the task of predicting the catalytic function of enzymes, PARSE achieves comparable or superior global performance to state-of-the-art machine learning methods (F1 score > 85%) while simultaneously annotating the specific residues involved in each function with much greater precision. Since it does not require supervised training, our method can make one-shot predictions for very rare functions and is not limited to a particular type of functional label (e.g. Enzyme Commission numbers or Gene Ontology codes). Finally, we leverage the AlphaFold Structure Database to perform functional annotation at a proteome scale. By applying PARSE to the dark proteome—predicted structures which cannot be classified into known structural families—we predict several bacterial metalloproteases. Each of these proteins shares a strongly conserved catalytic site despite highly divergent sequences and global folds, illustrating the value of local structure representations for new function discovery.
GPT-4o mini: Non-social science research article
The functional dynamics of FicD’s TPR domain are modulated by the interaction with ATP and BiP
Svenja Runge, Ecenaz Bilgen, Andrea Magni, Giorgio Bonollo, Giorgio Colombo, Aymelt Itzen, Don C. Lamb
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The human Fic enzyme FicD plays an important role in regulating the Hsp70 homolog BiP in the endoplasmic reticulum: FicD reversibly modulates BiP’s activity through attaching an adenosine monophosphate to the substrate binding domain. This reduces BiP’s chaperone activity by shifting it into a conformation with reduced substrate affinity. Crystal structures of FicD in the apo, adenosine triphosphate (ATP)-bound, and BiP-bound states suggested significant conformational variability in the tetratricopeptide repeat (TPR) motifs. However, nothing is known about the underlying dynamics. In this study, we investigate the conformational dynamics of FicD’s TPR motifs using two-color, single-molecule Förster resonance energy transfer (smFRET) experiments. We demonstrate that the TPR motifs exhibit conformational dynamics between a TPR-out and a TPR-in conformation on timescales ranging from microseconds to milliseconds. In addition, we extend our investigation on multiple labeling positions within FicD, revealing how conformational dynamics vary depending on the location within the TPR motif. We quantify the motions with dynamic photon distribution analysis for the FRET constructs and generate an ensemble of structures for the different states consistent with the smFRET data using molecular dynamic simulations. We propose a conformational landscape model for FicD where the TPR-in/out states exist in equilibrium and the fraction of dynamic population is altered due to the presence of ATP and BiP. These results indicate that not only is FicD dynamic, but the dynamics are linked to the functionality and interactions of FicD with BiP.
GPT-4o mini: Non-social science research article
Interfacial electroneutrality controls transport of asymmetric salts through charge-patterned mosaic membranes
Feng Gao, John R. Hoffman, Jialing Xu, Anton V. Ievlev, Jonathan K. Whitmer, William A. Phillip
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Membranes that selectively enhance target solute permeation while rejecting competing species are essential for precision separations. This study introduces charge-patterned mosaic membranes (CMMs) that selectively transport divalent asymmetric salts by leveraging a net-neutral membrane–solution interface. This mechanism, dictated by the charge ratio of positive and negative domains on the membrane surface and the balance of cations and anions in the salt, is supported by analytical, numerical, and experimental results. Analytical solutions identified cationic domain coverages ( f + ) of 33%, 50%, and 66% as optimal for the selective transport of +2:−1 salts, +1:−1 salts, and +1:−2 salts, respectively, under conditions where the pattern size ( L ) is significantly larger than the Debye length. Numerical simulations and experiments using CMMs with alternating charged-stripes inkjet-printed onto nanostructure copolymer substrates confirmed these findings. By varying stripe widths to control f + , pressure-driven filtration experiments demonstrated selective enrichment of MgCl 2 and K 2 SO 4 at the predicted f + values, with deviations from these values leading to salt rejection. These results highlight the pivotal role of a net-neutral interface in enabling asymmetric salt enrichment. This study positions CMMs as a versatile platform for tuning ion selectivity, addressing challenges in resource recovery, water treatment, and precision separations.
GPT-4o mini: Non-social science research article
Thermodynamics of calcium binding to heparin: Implications of solvation and water structuring for polysaccharide biofunctions
Brenna M. Knight, Connor M. B. Gallagher, Michael D. Schulz, Kevin J. Edgar, Caylyn D. McNaul, Christina A. McCutchin, Patricia M. Dove
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Heparan sulfates are found in all animal tissues and have essential roles in living systems. This family of biomacromolecules modulates binding to calcium ions (Ca 2+ ) in low free energy reactions that influence biochemical processes from cell signaling and anticoagulant efficacy to biomineralization. Despite their ubiquity, the thermodynamic basis for how heparans and similarly functionalized biomolecules regulate Ca 2+ interactions is not yet established. Using heparosan (Control) and heparins with different positions of sulfate groups, we quantify how SO 3 − and COO − content and SO 3 − position modulate Ca 2+ binding by isothermal titration calorimetry. The free energy of all heparin-Ca 2+ interactions (Δ G rxn ) is dominated by entropic contributions due to favorable water release from polar, hydrophilic groups. Heparin with both sulfate esters ( O -SO 3 − ) and sulfamides ( N -SO 3 − ) has the strongest binding to Ca 2+ compared to heparosan and to heparin with only O -SO 3 − groups (~3X). By linking Ca 2+ binding thermodynamics to measurements of the interfacial energy for calcite (CaCO 3 ) crystallization onto polysaccharides, we show molecule-specific differences in nucleation rate can be explained by differences in water structuring during Ca 2+ interactions. A large entropic term (- T Δ S rxn ) upon Ca 2+ –polysaccharide binding correlates with high interfacial energy to CaCO 3 nucleation. Combining our measurements with literature values indicates many Ca 2+ –polysaccharide interactions have a shared thermodynamic signature. The resulting enthalpy–entropy compensation relationship suggests these interactions are generally dominated by water restructuring involving few conformational changes, distinct from Ca 2+ –protein binding. Our findings quantify the thermodynamic origins of heparin-specific interactions with Ca 2+ and demonstrate the contributions of solvation and functional group position during biomacromolecule-mediated ion regulation.
Early-life infectious disease exposure, the “hygiene hypothesis,” and lifespan: Evidence from hookworm disease
Ralph Lawton
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Exposure to infectious disease in early life may have long-term ramifications for health and lifespan. However, reducing pathogen exposure may not be uniformly beneficial. The rise of modern sanitation and reduction of infectious diseases has been implicated in increasing levels of allergy and immune dysregulation: termed, the “hygiene hypothesis.” This study leverages quasi-experimental variation from combining precampaign hookworm exposure with the Rockefeller Sanitary Commission’s deworming campaign in the early 20th century to rigorously examine the impacts of childhood hookworm exposure on adult lifespan and morbidity. Findings show deworming before age five leads to 2.5 additional months of life in a large sample of adult death records. Further, decreasing hookworm exposure is related to improvements in biomarkers for inflammation and skin-tested allergies, in contrast to predictions of the “hygiene hypothesis.” Placebo tests using health outcomes that should not be affected by deworming do not show similar patterns. Overall, childhood deworming leads to improvements in morbidity and lifespan decades later.
Chants across seven traditions share acoustic traits that enhance subjective relaxation
Valentina Canessa-Pollard, Andrey Anikin, David Reby
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For over 5,000 y, chanting has been practiced across many Western and Eastern traditions. However, there is hardly any empirical research on 1) whether chants from across the globe share common acoustic properties, 2) whether these acoustic features make them distinct from other human vocalizations, and 3) the extent to which they may positively impact listeners’ well-being. Here, we collected 242 chants belonging to seven distinct traditions and associated with a wide range of language families, and compared them acoustically to a large corpus of song (n = 126) and speech (n = 616) samples from across 14 linguistic and 12 geographical regions. We show that, irrespective of language and geographical origin, chants share distinctive acoustic traits, namely relatively flat and slow-changing intonation and steady, unbroken voicing in a comfortable, rather low pitch range with a prevalence of mid-central vowels. Thus, chants are produced in a relaxed vocal tract configuration with minimal articulation. Additionally, playback experiments involving original chants (with a participant pool of 61 listeners), resynthesized chants (with 114 listeners), and fully synthetic chants (with 80 listeners) demonstrate that these acoustic characteristics enhance listeners’ perceived sensations of relaxation. Specifically, relatively flat and slow-changing intonation, combined with vowel production in a relatively relaxed vocal tract configuration, resulted in higher overall relaxation ratings. Together these results hint at a specific function of chants’ acoustic commonalities: the enhancement of well-being through relaxation.
An exploration of basic human values in 38 million obituaries over 30 years
David M. Markowitz, Thomas Mazzuchi, Stylianos Syropoulos, Kyle Fiore Law, Liane Young
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How societies remember the dead can reveal what people value in life. We analyzed 38 million obituaries from the United States to examine how personal values are encoded in individual and collective legacies. Using Schwartz’s theory of basic human values, we found that tradition and benevolence dominated legacy reflections, while values like power and stimulation appeared less frequently. Major cultural events—the terrorist attacks of September 11th, the 2008 financial crisis, and the COVID-19 pandemic—were systematically linked to changes in legacy reflections about personal values, with security declining after 9/11, achievement declining after the financial crisis, and benevolence declining for years after COVID-19 began and, to date, not yet returning to baseline. Gender and age of the deceased were also linked to differences in legacy: Men were remembered more for achievement , power , and conformity , while women were remembered more for benevolence and hedonism . Older people were remembered more for tradition and conformity than younger people. These patterns shifted dynamically across the lifespan, with obituaries for men showing more age-related variation than legacies for women. Our findings reveal how obituaries serve as psychological and cultural time capsules, preserving not just individual legacies, but also indicating what US society values collectively regarding a life well lived.
Mass support for conserving 30% of the Earth by 2030: Experimental evidence from five continents
Patrik Michaelsen, Aksel Sundström, Sverker C. Jagers
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Rapid global expansion of protected areas is critical for safeguarding biodiversity but depends on political action for successful implementation. Following widespread ratification of the Kunming-Montreal Global Biodiversity Framework, an unprecedented increase in area-based conservation is required to reach its target of conserving 30% of land, waters, and seas by 2030. These expansions prompt difficult trade-offs between conservation, social, and economic interests. A key factor in securing legitimacy and practical feasibility for expansion regimes is understanding what factors determine public support for them. Using survey and experimental data, we show that in eight countries across five continents, public opinion is 1) strongly in favor of the “30-by-30”-target and 2) highly consistent regarding policy priorities for the design of international- and domestic-level expansion regimes. We find that for international-level policy regimes, support increases with protection responsibilities equally split between countries, rich countries bearing higher costs, more countries actively cooperating, and placement trade not allowed. For domestic-level policy regimes, support generally increases when nature values are prioritized over social or economic values and, in many countries, decreases when costs are borne by a general tax increase, parks are managed by private companies, and when access to parks is restricted. Together, these results demonstrate how protected area expansion policies can be shaped to facilitate reaching 30% protected areas by 2030.
The nonadaptive advantage: Why our brains can’t quit gaming
Leanne Chukoskie, Casper Harteveld
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Science

GPT-4o mini: Non-social science research article
Increasing global human exposure to wildland fires despite declining burned area
Seyd Teymoor Seydi, John T. Abatzoglou, Matthew W. Jones, Crystal A. Kolden, Gabriel Filippelli, Matthew D. Hurteau, Amir AghaKouchak, Charles H. Luce, Chiyuan Miao, Mojtaba Sadegh
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Although half of Earth’s population resides in the wildland-urban interface, human exposure to wildland fires remains unquantified. We show that the population directly exposed to wildland fires increased 40% globally from 2002 to 2021 despite a 26% decline in burned area. Increased exposure was mainly driven by enhanced colocation of wildland fires and human settlements, doubling the exposure per unit burned area. We show that population dynamics accounted for 25% of the 440 million human exposures to wildland fires. Although wildfire disasters in North America, Europe, and Oceania have garnered the most attention, 85% of global exposures occurred in Africa. The top 0.01% of fires by intensity accounted for 0.6 and 5% of global exposures and burned area, respectively, warranting enhanced efforts to increase fire resilience in disaster-prone regions.
GPT-4o mini: Non-social science research article
Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics
Benjamin FurtwĂ€ngler, Nil Üresin, Sabrina Richter, Mikkel Bruhn Schuster, Despoina Barmpouri, Henrietta Holze, Anne Wenzel, Kirsten GrĂžnbĂŠk, Kim Theilgaard-Mönch, Fabian J. Theis, Erwin M. Schoof, Bo T Porse
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Single-cell transcriptomics (scRNA-seq) has facilitated the characterization of cell state heterogeneity and recapitulation of differentiation trajectories. However, the exclusive use of mRNA measurements comes at the risk of missing important biological information. Here we leveraged recent technological advances in single-cell proteomics by Mass Spectrometry (scp-MS) to generate an scp-MS dataset of an in vivo differentiation hierarchy encompassing over 2500 human CD34+ hematopoietic stem and progenitor cells. Through integration with scRNA-seq, we identified proteins that are important for stem cell function, which were not indicated by their mRNA transcripts. Further, we showed that modeling translation dynamics can infer cell progression during differentiation and explain substantially more protein variation from mRNA than linear correlation. Our work offers a framework for single-cell multi-omics studies across biological systems.
GPT-4o mini: Non-social science research article
Electrical coherent driving of chiral antiferromagnet
Yutaro Takeuchi, Yuma Sato, Yuta Yamane, Ju-Young Yoon, Yukinori Kanno, Tomohiro Uchimura, K. Vihanga De Zoysa, Jiahao Han, Shun Kanai, Jun’ichi Ieda, Hideo Ohno, Shunsuke Fukami
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Electric current driving of antiferromagnetic states at radio or higher frequencies remains challenging to achieve. In this study, we report all-electrical, gigahertz-range coherent driving of chiral antiferromagnet manganese-tin (Mn 3 Sn) nanodot samples. High coherence in multiple trials and threshold current insensitive to pulse width, in contrast to results observed with ferromagnets, were achieved in subnanosecond range, allowing 1000/1000 switching by 0.1-nanosecond pulses at zero field. These features are attributed to the inertial nature of antiferromagnetic excitations. Our study highlights the potential of antiferromagnetic spintronics to combine high speed and high efficiency in magnetic device operations.
GPT-4o mini: Non-social science research article
Light pollution prolongs avian activity
Brent S. Pease, Neil A. Gilbert
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Light pollution disrupts light–dark cues that organisms use as timetables for life. Although studies—typically focusing on individual species—have documented earlier morning onset of bird vocalization in light-polluted landscapes, a synthesis of light pollution effects across species, space, and season is lacking. We used a global acoustic dataset of more than 60 million detections, representing 583 diurnal bird species, to synthesize effects of light pollution on avian vocalization. On average, light pollution prolonged vocal activity by 50 min. Light pollution responses were strongest for species with large eyes, open nests, migratory habits, and large ranges and during the breeding season. Prolonged activity may confer negative, neutral, or positive fitness effects; documenting these fitness effects and curbing light pollution are challenges for 21st-century conservation.
GPT-4o mini: Non-social science research article
Fitness benefits of genetic rescue despite chromosomal differences in an endangered pocket mouse
Aryn P. Wilder, Debra M. Shier, Shauna N. D. King, Olga Dudchenko, Erik R. Funk, Ann Misuraca, Marlys L. Houck, William B. Miller, Caitlin J. Curry, Julie Fronczek, Ruqayya Khan, David Weisz, Robert N. Fisher, Erez Lieberman Aiden, Oliver A. Ryder, Cynthia C. Steiner
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Two-thirds of Earth’s species have undergone population declines, leaving many vulnerable to genomic erosion and inbreeding depression. Genetic rescue can boost the fitness of small populations, but perceived risks of outbreeding depression can limit its use. We quantified these trade-offs in hundreds of endangered Pacific pocket mice ( Perognathus longimembris pacificus ) by combining whole-genome sequences with fitness data. The impacts of genomic erosion in remnant populations were reversed in an admixed breeding program, suggesting the potential benefits of genetic rescue. However, differences in chromosome numbers increase the risk of genetic incompatibilities. Fitness analyses suggested that although admixed karyotypes may have reduced fertility, non-admixed mice with low heterozygosity and high genetic load had even lower fitness, pointing to a greater risk of extinction if populations remain isolated.
GPT-4o mini: Non-social science research article
Dysfunction in primate dorsolateral prefrontal area 46 affects motivation and anxiety
Christian M. Wood, Rana Banai Tizkar, Martina Fort, Xinhu Zhang, Kevin G. Mulvihill, Naixuan Liao, Gemma J. Cockcroft, Lauren B. McIver, Stephen J. Sawiak, Angela C. Roberts
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The dorsolateral prefrontal cortex (dlPFC) is a higher-order brain structure targeted for noninvasive stimulation for treatment-resistant depression. Nonetheless, its causal role in emotion regulation is unknown. We discovered that inactivating dlPFC area 46 in marmosets blunts appetitive motivation and heightens threat reactivity. The effects were asymmetric—dependent on the left hemisphere only—and were mediated through projections to pregenual cingulate area 32. The antidepressant ketamine blocked the appetitive motivational deficits through mechanisms within subcallosal cingulate area 25, an area linked with treatment success in dlPFC noninvasive stimulation. Our data uncover an integrated prefrontal network for area 46 that contributes to positive and negative emotion regulation that may be core to our understanding of symptoms and therapeutic strategies for treatment-resistant depression and anxiety.
GPT-4o mini: Non-social science research article
LYVAC/PDZD8 is a lysosomal vacuolator
Haoxiang Yang, Jinrui Xun, Yajuan Li, Awishi Mondal, Bo Lv, Simon C. Watkins, Lingyan Shi, Jay Xiaojun Tan
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Lysosomal vacuolation is commonly found in many pathophysiological conditions, but its molecular mechanisms and functions remain largely unknown. Here, we show that the endoplasmic reticulum (ER)–anchored lipid transfer protein PDZ domain–containing 8 (PDZD8), which we propose to be renamed as lysosomal vacuolator (LYVAC), is a general mediator of lysosomal vacuolation. Using human cell lines, we found that diverse lysosomal vacuolation inducers converged on lysosomal osmotic stress, triggering LYVAC recruitment through multivalent interactions. Stress-induced lysosomal lipid signaling contributed to both the recruitment and activation of LYVAC. By directly sensing lysosomal phosphatidylserine and cholesterol, the lipid transfer domain of LYVAC mediated directional ER-to-lysosome lipid movement, leading to osmotic membrane expansion of lysosomes. These findings uncover an essential mechanism for lysosomal vacuolation with broad implications in pathophysiology.
GPT-4o mini: Non-social science research article
Ultrafast elastocapillary fans control agile maneuvering in ripple bugs and robots
Victor M. Ortega-Jimenez, Dongjin Kim, Sunny Kumar, Changhwan Kim, Je-Sung Koh, Saad Bhamla
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Rhagovelia ripple bugs use specialized middle-leg fans with a flat-ribbon architecture to navigate the surfaces of fast-moving streams. We show that the fan’s directional stiffness enables fast, passive elastocapillary morphing, independent of muscle input. This flat-ribbon fan balances collapsibility during leg recovery with rigidity during drag-based propulsion, enabling full-body 96° turns in 50 milliseconds, with forward speeds of up to 120 body lengths per second—on par with fruit fly saccades in air. Drawing from this morphofunctional architecture, we engineered a 1-milligram elastocapillary fan integrated into an insect-scale robot. Experiments with both insects and robots confirmed that self-morphing fans improve thrust, braking, and maneuverability. Our findings link fan microstructure to controlled interfacial propulsion and establish design principles for compact, elastocapillary actuators in agile aquatic microrobots.
GPT-4o mini: Non-social science research article
By-product recovery from US metal mines could reduce import reliance for critical minerals
Elizabeth A. Holley, Karlie M. Hadden, Dorit Hammerling, Rod Eggert, D. Erik Spiller, Priscilla P. Nelson
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The US has sufficient geological endowment in active metal mines to reduce the nation’s dependence on critical mineral imports. Demand is increasing for cobalt, nickel, rare earth elements, tellurium, germanium, and other materials used in energy production, semiconductors, and defense. This study uses a statistical evaluation of new geochemical datasets to quantify the critical minerals that are mined annually in US ores but go unrecovered. Ninety percent recovery of by-products from existing domestic metal mining operations could meet nearly all US critical mineral needs; one percent recovery would substantially reduce import reliance for most elements evaluated. Policies and technological advancements can enable by-product recovery, which is a resource-efficient approach to critical mineral supply that reduces waste, impact, and geopolitical risk.
GPT-4o mini: Non-social science research article
Disability and AI: Much more than assistive technologies
Jackie Leach Scully
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Nothing succeeds like success, we are told, and certainly that seems true for artificial intelligence (AI). It is hard to overstate either the ubiquity or the success of AI-based technologies in science and technology, health research and care, the media, and everyday life.
GPT-4o mini: Non-social science research article
The MUC19 gene: An evolutionary history of recurrent introgression and natural selection
Fernando A. Villanea, David Peede, Eli J. Kaufman, Valeria Añorve-Garibay, Elizabeth T. Chevy, Viridiana Villa-Islas, Kelsey E. Witt, Roberta Zeloni, Davide Marnetto, Priya Moorjani, Flora Jay, Paul N. Valdmanis, María C. Ávila-Arcos, Emilia Huerta-Sånchez
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We study the gene MUC19 , for which some modern humans carry a Denisovan-like haplotype. MUC19 is a mucin, a glycoprotein that forms gels with various biological functions. We find diagnostic variants for the Denisovan-like MUC19 haplotype at high frequencies in admixed American individuals and at highest frequency in 23 ancient Indigenous American individuals, all pre-dating population admixture with Europeans and Africans. We find that the Denisovan-like MUC19 haplotype is under positive selection and carries a higher copy number of a 30–base-pair variable number tandem repeat, and that copy numbers of this repeat are exceedingly high in admixed American populations. Finally, we find that some Neanderthals carry the Denisovan-like MUC19 haplotype, and that it was likely introgressed into modern human populations through Neanderthal introgression rather than Denisovan introgression.
GPT-4o mini: Non-social science research article
Vegetation changes the trajectory of river bends
Michael Hasson, Alvise Finotello, Alessandro Ielpi, Mathieu G. A. LapĂŽtre
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A primary axiom in geoscience is that the evolution of plants drove global changes in river dynamics. Notably, the apparent sinuosity of rivers, derived from the variance of sediment accretion direction measured in rocks, dramatically increased when land plants evolved, ca. 425 Ma. This led to the hypothesis that the rise of vegetation triggered river meandering. Recent studies of barren, meandering rivers challenge this notion, but the Paleozoic shift in the geometry of river deposits remains unexplained. Here, we suggest that it occurred because vegetation changes how river bends move through space. Using satellite images to monitor river migration, we find that bank vegetation alters the orientation of point bar accretion, resulting in a 62% increase in the inferred variance of flow direction. These results explain why meandering rivers have been under-recognized in pre-vegetation stratigraphy.
GPT-4o mini: Non-social science research article
Ultracompact on-chip spectral shaping using pixelated nano-opto-electro-mechanical gratings
Weixin Liu, Siyu Xu, Chengkuo Lee
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The ability to shape light spectra dynamically and arbitrarily would revolutionize many photonic systems by offering unparalleled spectral efficiency and network flexibility. However, most existing optical components have rigid spectral functionalities with limited tunability, hindering compact and fast optical spectral shaping. We introduce a pixelated nano-opto-electro-mechanical (NOEM) grating that exploits electromechanically induced symmetry breaking for precise, pixel-level control of grating coupling strength, yielding a miniaturized (~0.007 square millimeters) on-chip spectral shaper. We demonstrate the synthesis of grating pixels for arbitrary spectral responses, and we achieved rapid (<10 nanoseconds), high-contrast (>100 decibels), wavelength-selective switching through collective, nanometer-scale electrostatic perturbations. Our pixelated NOEM grating delivers exceptional spectral manipulation capabilities in an ultracompact, on-chip manner, offering prospects for next-generation optical information networks, computing architectures, and beyond.
GPT-4o mini: Non-social science research article
Load and lock: An emerging class of therapeutics that influence macromolecular dissociation
Raymond J. Deshaies, Patrick Ryan Potts
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Biology is governed by macromolecular interactions, perturbation of which often lies at the heart of disease. Most therapeutic drugs, whether they are small molecules or biologics, exert their effects through impeding such interactions, whether they are of an enzyme with its substrate or a ligand with its receptor. Conversely, a handful of approved drugs and a larger number of candidates in development have the opposite effect: They either activate or inhibit a biological output by stabilizing a preexisting complex through reducing the rate at which its components dissociate ( k off ). In this Review, we present examples of therapeutic candidates that we term “LOCKTACs,” which modulate k off , and discuss possible theoretical and practical advantages of this class of drugs. Prospective discovery of LOCKTACs has the potential to usher in a new class of therapeutics for today’s most challenging targets.
GPT-4o mini: Non-social science research article
The quantum metric of electrons with spin-momentum locking
Giacomo Sala, Maria Teresa Mercaldo, Klevis Domi, Stefano Gariglio, Mario Cuoco, Carmine Ortix, Andrea D. Caviglia
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Quantum materials are characterized by electromagnetic responses intrinsically linked to the geometry and topology of electronic wavefunctions that are encoded in the quantum metric and Berry curvature. Whereas Berry curvature–mediated transport effects have been identified in several magnetic and nonmagnetic systems, quantum metric–induced transport phenomena remain limited to topological antiferromagnets. Here, we show that spin-momentum locking, a general characteristic of the electronic states at surfaces and interfaces of spin-orbit–coupled materials, leads to a finite quantum metric. This metric activates a nonlinear in-plane magnetoresistance that we measured and electrically controlled in 111-oriented LaAlO 3 /SrTiO 3 interfaces. These findings demonstrate the existence of quantum metric effects in a vast class of materials and enable previously unexplored strategies to design functionalities based on quantum geometry.
GPT-4o mini: Non-social science research article
Stereo-cell: Spatial enhanced-resolution single-cell sequencing with high-density DNA nanoball-patterned arrays
Sha Liao, Xiaoxi Zhou, Chuanyu Liu, Chang Liu, Shijie Hao, Hongyu Luo, Huan Hou, Qian Liu, Zhe Zhang, Liyun Xiao, Yuan Xu, Yaling Huang, Sining Zhou, Xuerong Li, Yang Wang, Lulin Xie, Zhichun Zhou, Shichen Dong, Yiru Wang, Xiaojing Xu, Pengcheng Guo, Xiumei Lin, Jiajie Lei, Qiaoling Wang, Yuxin Gong, Jiaming Cheng, Zixin Yuan, Yongqing Yang, Zhi Huang, Shenglong Li, Yuhui Zheng, Shichen Yang, Xin Huang, Weiqing Liu, Mei Li, Zhonghan Deng, Xinyu Yang, Jianhua Yin, Yingjie Luo, Yiwei Lai, Yue Yuan, Mengnan Cheng, Bo Wang, Jiansong Ji, Miguel A. Esteban, Yuxiang Li, Ying Gu, Yijun Ruan, Liang Chen, Xiangdong Wang, Jun Xie, Jian Wang, Longqi Liu, Ao Chen, Xun Xu
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Single-cell sequencing technologies have advanced our understanding of cellular heterogeneity and biological complexity. However, existing methods face limitations in throughput, capture uniformity, cell size flexibility, and technical extensibility. We present Stereo-cell, a spatial enhanced-resolution single-cell sequencing platform based on high-density DNA nanoball (DNB)–patterned arrays, which enables scalable and unbiased cell capture at a wide input range and supports high-fidelity transcriptome profiling. Stereo-cell further allows integration with imaging-based modalities and multiomics strategies, including immunofluorescence and epitope profiling. This platform is also compatible with profiling extracellular vesicles, microstructures, and large cells, whereas its spatial resolution facilitates in situ analysis of cell-cell interactions, cellular microenvironments, and subcellular transcript localization. Together, Stereo-cell provides a flexible framework for expanding single-cell research applications.
GPT-4o mini: Non-social science research article
Overcoming energy disorder for cavity-enabled energy transfer in vibrational polaritons
Guoxin Yin, Tianlin Liu, Lizhu Zhang, Tianyu Sheng, Haochuan Mao, Wei Xiong
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Energy disorder is ubiquitous in chemistry and physics. It can suppress polariton delocalization by disrupting molecular coherence–limiting polariton-modified properties. We investigated how energy disorders affect vibrational polariton dynamics by probing ultrafast dynamics in 2,6-di- tert -butylphenol in liquids (inhomogeneous) and solids (homogeneous) using two-dimensional infrared spectroscopy and molecular dynamics simulations. In liquids, energy disorder disrupted delocalization, preventing vibrational energy transfer. By contrast, with reduced inhomogeneity, vibrational strong coupling in solids restored delocalization and enabled energy transfer. We established a stringent delocalization criterion, requiring collective coupling strengths exceeding three times inhomogeneous linewidths to sustain polariton coherence. This finding highlights energy disorder’s detrimental effects and outlines strategies to overcome localization—either by minimizing disorder through chemical control or by achieving sufficient couplings using advanced photonic structures.
GPT-4o mini: Non-social science research article
Universal coarsening in a homogeneous two-dimensional Bose gas
Martin Gazo, Andrey Karailiev, Tanish Satoor, Christoph Eigen, Maciej GaƂka, Zoran Hadzibabic
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Coarsening of an isolated far-from-equilibrium quantum system is a paradigmatic many-body phenomenon, relevant from subnuclear to cosmological length scales and predicted to feature universal dynamic scaling. Here, we observed universal scaling in the coarsening of a homogeneous two-dimensional Bose gas, with exponents that match analytical predictions. For different initial states, we reveal universal scaling in the experimentally accessible finite-time dynamics by elucidating and accounting for the initial-state-dependent prescaling effects. The methods we introduce allow direct comparison between cold-atom experiments and nonequilibrium field theory and are applicable to any study of universality far from equilibrium.
GPT-4o mini: Non-social science research article
Disassembly activates Retron-Septu for antiphage defense
Chen Wang, Anthony D. Rish, Emily G. Armbruster, Jiale Xie, Anna B. Loveland, Zhangfei Shen, Bradley Gu, Andrei A. Korostelev, Joe Pogliano, Tian-Min Fu
Full text
Retrons are antiphage defense systems that produce multicopy single-stranded DNA (msDNA) and hold promise for genome engineering. However, the mechanisms of defense remain unclear. The Retron-Septu system integrates retron and Septu antiphage defenses. Cryo–electron microscopy structures reveal asymmetric nucleoprotein complexes comprising a reverse transcriptase, msDNA (a hybrid of msdDNA and msrRNA), and two PtuAB copies. msdDNA and msrRNA are essential for assembling this complex, with msrRNA adopting a conserved lariat-like structure that regulates reverse transcription. Notably, the assembled Retron-Septu complex is inactive, with msdDNA occupying the PtuA DNA binding site. Activation occurs upon disassembly, releasing PtuAB, which degrades single-stranded DNA to restrict phage replication. This “arrest-and-release” mechanism underscores the dynamic regulatory roles of msDNA, advancing our understanding of antiphage defense strategies.
GPT-4o mini: Non-social science research article
Recent evolution of the developing human intestine affects metabolic and barrier functions
Qianhui Yu, Umut Kilik, Stefano Secchia, Lukas Adam, Yu-Hwai Tsai, Christiana Fauci, Jasper Janssens, Charlie J. Childs, Katherine D. Walton, Rubén López-Sandoval, Angeline Wu, Marina Almató Bellavista, Sha Huang, Calen A. Steiner, Yannick Throm, Michael James Boyle, Zhisong He, Joep Beumer, Barbara Treutlein, Craig B. Lowe, Jason R. Spence, J. Gray Camp
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Diet, microbiota, and other exposures make the intestinal epithelium a nexus for evolutionary change; however, little is known about genomic changes associated with adaptation to a distinctly human environment. In this work, we interrogate the evolution of cell types in the developing human intestine by comparing tissue and organoids from humans, chimpanzees, and mice. We find that recent changes in primates are associated with immune barrier function and lipid and xenobiotic metabolism and that human-specific genetic features affect these functions. Enhancer assays, genetic deletion, and in silico mutagenesis resolve evolutionarily important enhancers of lactase ( LCT ) and insulin-like growth factor binding protein 2 ( IGFBP2 ). Altogether, we identify the developing human intestinal epithelium as a rapidly evolving system and show that great ape organoids provide insight into human biology.
Science abstract < 200 char.: Not a research article
Vegetation steers a river’s path
Jim Pizzuto
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Evolution of plants could have modified ancient river trajectories
Science abstract < 200 char.: Not a research article
In Science Journals
Sacha Vignieri, Jelena Stajic, Bianca Lopez, Sharon N. DeWitte, Catherine Charneski, Ian S. Osborne, Michael A. Funk, Yevgeniya Nusinovich, Corinne Simonti, Di Jiang, Stella M. Hurtley, Marc S. Lavine, Peter Stern, Leslie Ferrarelli, Yury Suleymanov, Claire Olingy
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Highlights from the Science family of journals
Science abstract < 200 char.: Not a research article
New antibiotics from the third branch of life?
Robert F. Service
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Archaea appear to wield a host of bacteria-killing compounds
Science abstract < 200 char.: Not a research article
Brazilian policy weakens shark conservation
Gustavo F. de Carvalho-Souza, José Truda Palazzo
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Science abstract < 200 char.: Not a research article
Don’t blame the algorithms for online polarization
Hannah Richter
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In tests with virtual social media users, echo chambers and extreme voices always emerged
Science abstract < 200 char.: Not a research article
Astronomers set biggest traps ever for messengers from cosmic accelerators
Daniel Clery
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Vast arrays of radio antennas could trace neutrinos back to supernovae and black holes
Science abstract < 200 char.: Not a research article
Authorship, erased
Hari Ram C. R. Nair
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Science abstract < 200 char.: Not a research article
Ripple bug robots demonstrate interfacial intelligence
Cameron A. Aubin
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Insect and robot appendages are autonomously controlled by the air-water interface
Science abstract < 200 char.: Not a research article
A protein tunnel helps stressed lysosomes swell
Jennifer Lippincott-Schwartz
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The endoplasmic reticulum donates lipids through a tunnel-like protein to help lysosomes expand
Science abstract < 200 char.: Not a research article
Probing the pain
Meredith Wadman
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Katie Burns is helping uncover the role of the immune system in endometriosis—while managing her own disease
Science abstract < 200 char.: Not a research article
Discovering Denisova The Secret World of Denisovans Silvana Condemi and François Savatier The Experiment, 2025. 272 pp.
Brenna R. Hassett
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A pair of authors invite readers to get to know the elusive archaic human
Science abstract < 200 char.: Not a research article
Outshining molecular disorder with light
Minjung Son
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Experiments quantify an important criterion for polariton-mediated energy transport
Science abstract < 200 char.: Not a research article
Mutualism—here, there, and everywhere The Call Of The Honeyguide Rob Dunn Basic Books, 2025. 352 pp.
Dale Jamieson
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A biologist finds wisdom in nature’s reciprocal partnerships
Science abstract < 200 char.: Not a research article
Disrupting the biospecimen “treasure trove”: Practice, precedent, and future directions
Leslie E. Wolf, Samantha Kench, Marielle Gross
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Decentralized biobanking can reconnect individuals to their specimens, democratizing data ownership
Science abstract < 200 char.: Not a research article
Denisovans, Neanderthals gave Indigenous Americans key mucus gene
Michael Price
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Genetic variant might have given the first Americans a sticky shield against new germs
Science abstract < 200 char.: Not a research article
A shared circuit might link depression and anxiety
Michael T. Treadway
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Loss of motivation and heightened sensitivity to threat are driven by a network of overlapping brain regions
Science abstract < 200 char.: Not a research article
In Other Journals
Madeleine Seale, Stella M. Hurtley, Di Jiang, Sarah H. Ross, Jake S. Yeston, Angela Hessler, Marc S. Lavine
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Editors’ selections from the current scientific literature
Science abstract < 200 char.: Not a research article
As salmon in Alaska plummet, scientists suspect a parasite
Warren Cornwall
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Chinook in the Yukon River appear to be particularly vulnerable—and warming waters may be abetting the infection
Science abstract < 200 char.: Not a research article
Yarmouk Treaty could ease Jordan’s water crisis
Hussam Hussein
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Science abstract < 200 char.: Not a research article
Faced with ‘impossible’ workload, USDA struggles to oversee lab animal welfare
David Grimm
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Shrinking staff and other handicaps threaten enforcement of the Animal Welfare Act
Science abstract < 200 char.: Not a research article
Pakistan’s reptiles need protection
Muhammad Ishfaq
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Rewiring science diplomacy
Vaughan C. Turekian, Peter Gluckman
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Over the past two decades, science diplomacy has been cast in a glow of hopeful optimism, especially by academics. It was framed as the art of bridge building, opening channels between adversaries, a common language across cultures, and a refuge for dialogue in times of political rupture. This aspirational model helped connect scientists across geopolitical divides, built trust, and was a cornerstone of post–Cold War internationalism. In recent years, these ideals have become increasingly affected by the pull of geopolitics. As multilateralism falters and geopolitical rivalries intensify, nations are putting greater emphasis on science and technology as strategic assets. For science diplomacy to remain relevant in this era, it must develop a new mode of engagement—transactional science diplomacy.

Science Advances

GPT-4o mini: Non-social science research article
Designing a DNA synchronizer for compact single-rail DNA logic circuits
Chenyun Sun, Zhikun Zhao, Jinyan Zhang, Hui Lv, Haozhi Wang, Haitao Song, Jiabin Wang, Kai Xia, Xiurong Yang, Chunhai Fan, Fei Wang
Full text
DNA has emerged as a robust platform for engineering molecular circuits with arbitrary logic operations. Nevertheless, implementing DNA circuits for such functions generally relies on the use of dual-rail expression that doubles the number of required gates, constraining the achievable complexity in a single solution. A fundamental limitation is that conventional single-rail circuits cannot support nonfirst-layer NOT operations. Here, we introduce the design of a DNA synchronizer (DSN), a temporal regulation module that enables time-dependent NOT function, to circumvent the fundamental limitation of conventional single-rail designs. Tuning the binding affinity between the DSN strand and an inverter strand allows for regulating the execution time of NOT gates at varying cascade depths. Single-rail NAND and NOR gates are implemented using DSNs, which are Boolean complete. We further demonstrate a 4-bit square root circuit using a minimal set of only five gates. This single-rail architecture holds promise for developing compact yet scalable DNA computing circuits while advancing applications in diagnostics and therapeutics.
GPT-4o mini: Non-social science research article
Size-dependent temporal decoupling of morphogenesis and transcriptional programs in pseudoembryos
Isma Bennabi, Pauline Hansen, Melody Merle, Judith Pineau, Lucille Lopez-Delisle, Dominique Kolly, Denis Duboule, Alexandre Mayran, Thomas Gregor
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Understanding the interplay between cell fate specification and morphogenetic changes remains a challenge in developmental biology. Gastruloids, stem cell models of postimplantation mammalian development, provide a platform to address this question. Here, using quantitative live imaging and transcriptomic profiling, we show that physical parameters, particularly system size, affect morphogenetic timing and outcomes. Larger gastruloids exhibit delayed symmetry breaking, increased multipolarity, and prolonged axial elongation, with morphogenesis driven by size. Despite these variations, transcriptional programs and cell fate composition remain stable across a broad size range, illustrating the scaling of gene expression domains. In particular, extreme sizes show distinct transcriptional modules and shifts in gene expression patterns. Size perturbation experiments rescued the morphogenetic and pattern phenotypes observed in extreme sizes, demonstrating the adaptability of gastruloids to their effective system size. These findings position gastruloids as versatile models for dissecting spatiotemporal coordination in mammalian development and reveal how physical constraints can decouple gene expression programs from morphogenetic progression.
GPT-4o mini: Non-social science research article
Amorphous monolayer CuPd catalysts for selective semihydrogenation
Haosen Yang, Bozhou Yan, Yufeng Xue, Tianqi Guo, Zhongchang Wang, Gilberto Teobaldi, Pengfei Hu, Li-Min Liu, Lin Guo
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The unique structural configuration of amorphous nanomaterials, characterized by their disordered atomic arrangements, highly exposed active sites, and isotropic homogeneity, enables exceptional catalytic performance that bridges the gap between homogeneous and heterogeneous catalysis. In this work, an amorphous CuPd catalyst was fabricated through incorporating Cu ions into the disordered Pd lattice, creating an amorphous monolayer architecture with engineered hydrogen transport pathways. The precisely modulated atomic/electronic configuration optimizes the adsorption configuration and bonding strength between substrate/intermediates and catalysts surfaces. The amorphous catalyst achieves 96.2% selectivity at 99.1% conversion under mild conditions, with a time of flight of 6004 hour −1 . These results demonstrate that amorphous architectures, with their disordered atomic arrangements, uniformly distributed active sites, and tunable adsorption energetics, establish a generalized design framework for high-performance catalysts, achieving superior selectivity and activity compared to crystalline systems.
GPT-4o mini: Non-social science research article
Tandem repeat–induced sexual silencing: A Rid-dependent RNAi mechanism for fungal genome defense via translational repression
Mengde Hou, Yajia Ni, Jinrong Yin, Mengchun Wu, Helan Zhang, Yanfei Du, Shasha Chen, Zhipeng Zhou, Cong Jiang, Qinhu Wang, Huiquan Liu
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Eukaryotes have evolved defense systems to protect their genomes from invasive genetic elements. We report a fungal defense mechanism, tandem repeat–induced sexual silencing (TRISS), active during sexual stages. TRISS is a unique RNA interference (RNAi) pathway distinct from known mechanisms like quelling and meiotic silencing by unpaired DNA (MSUD). Triggered by tandem repeats, it involves RNAi components similar to quelling but uniquely includes the MSUD-specific Argonaute Sms2. TRISS operates independently of recombination. We identified small interfering RNA sassociated with TRISS (trasiRNAs) in tandem repeats. Sms2, guided by trasiRNAs, mediates translational repression of target mRNAs and is crucial for trasiRNA biogenesis. TRISS requires the DNA methyltransferase Rid but not Rid-mediated repeat-induced point mutation (RIP). Both Sms2 and Rid interact with replication protein A (RPA) to recruit the RPA-Qde1/RdRP complex, dependent on the helicase Qde3. This study reveals a potentially conserved strategy linking RIP and RNAi to silence tandem repeats during fungal sexual stages, offering insights into fungal genome defense.
GPT-4o mini: Non-social science research article
The source and thermal driver of young (<3.0 Ga) lunar volcanism
Chengyuan Wang, Yuqi Qian, Jintuan Wang, Liang Liu, Le Zhang, Zhiming Chen, Jingyou Chen, Guanhong Zhu, Xianglin Tu, Zexian Cui, Qing Yang, Yan-Qiang Zhang, Pengli He, Yonghua Cao, Haiyang Xian, James W. Head, Yi-Gang Xu
Full text
The thermal mechanism that drives the prolonged volcanism on the Moon, especially after the major pulse of Imbrian-aged eruptions, remains unknown. Here, we present a petrological and geochemical study of two types of young farside mare basalts, the ~2.8–billion year (Ga) low-Ti and ~2.9-Ga very-low-Ti basalts, collected during the Chang’e-6 mission. The results of our study show that these basalts have pyroxenitic sources and originate from a depth of ~60 to 80 kilometers and ~120 kilometers, respectively. The depth of their source that became progressively shallower over time, combined with thermal modeling results, suggests that magmatic underplating beneath the ilmenite-bearing cumulate (IBC) that escaped the mantle overturn phase could be a thermal driver for the young lunar magmatism. Global remote-sensing investigations further reveal different TiO 2 contents between young basalts from each side of the Moon, attributable to asymmetric composition and thickness of the IBC in the uppermost mantle.
GPT-4o mini: Non-social science research article
Distinctive molecular features of radiation-induced thyroid cancers
Danielle M. Karyadi, Tetiana I. Bogdanova, Cato M. Milder, Stephen W. Hartley, Olivia W. Lee, Michael Dean, Vladimir Drozdovitch, Elizabeth K. Cahoon, Sergii Masiuk, Mykola Chepurny, Liudmyla Yu Zurnadzhy, Vibha Vij, Cari M. Kitahara, Gerry A. Thomas, Gayle E. Woloschak, Dale A. Ramsden, Mykola D. Tronko, Stephen J. Chanock, Lindsay M. Morton
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Papillary thyroid carcinoma (PTC) incidence increased after childhood exposure to radioactive fallout from the Chornobyl accident. We investigated PTC genomic profiles to distinguish radiation-induced versus sporadic oncogenic drivers by modeling dose and molecular characteristics by driver category: BRAF V600E ( n = 132), RAS mutation ( n = 31), fusions generated from two breakpoints and <20 base pairs (bp) breakpoint gain/loss (Fusion 2B<20bp ; n = 63), or ≄3 breakpoints and ≄1000 bp breakpoint loss ( n = 20). The frequency of Fusion 2B<20bp -PTC increased with increasing thyroid radiation dose, whereas all others declined. Clonal small deletion counts increased with increasing radiation dose for Fusion 2B<20bp -PTC ( P = 5.1 × 10 −4 ) but not other drivers ( P > 0.08). Clonal clock mutational signatures, marking the age of tumor initiation, were associated with age at the accident for Fusion 2B<20bp -PTC ( P = 8.2 × 10 −4 ) but not other drivers ( P > 0.21). Together, these results support a causal role for ionizing radiation in Fusion 2B<20bp -PTC as a group but not other drivers.
GPT-4o mini: Non-social science research article
The origin of complex crater formation during high-speed impacts
Hasan F. Celebi, Austin J. Andrews, Ioannis Pothos, Nathan A. Bellefeuille, Bernard A. Olson, Thomas E. Schwartzentruber, Christopher J. Hogan
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Complex crater formation is an incompletely understood phenomenon, referring to instances wherein a high-speed projectile impacts a surface and leaves a crater characterized by a central uplift. We elucidate the mechanism of complex crater formation by examining crater formation on different polymer substrates resulting from microparticle impacts with tunable microparticle diameter (1.8 to 6.1 micrometers) and impact velocities up to 840 meters per second. Central uplift is uniquely observed in craters on amorphous polymers, with the degree of complexity directly linked to the polymer thermal properties and homogeneity. We demonstrate that the complex crater volume scales with the ratio of the specific kinetic energy of the impacting object to the specific energy required to raise the impacted substrate to its glass transition temperature (the Eckert number). Our results also confirm that complex crater formation can occur not only for macroscopic celestial collisions but also during sufficiently high velocity collisions at the micrometer scale.
GPT-4o mini: Non-social science research article
RPA1 protects DNA damage–induced PANoptosis in limb development
Qi Yin, Shuanglin Peng, Zhong Zhang, Shuang Jiang, Xuan Li, Denghao Huang, Yang Li, Jian Zhou, Jingang Xiao, Ling Ye, Yuxin Yin, Quan Yuan
Full text
Extensive cell proliferation during embryogenesis often compromises genome integrity, increasing the risk of developmental defects. However, the mechanisms that safeguard genome integrity during this process remain poorly understood. Using early limb development as a model, we identify that DNA damage response factors are up-regulated in proliferating mesenchymal stem cells. Conditional knockout of Rpa1 , a representative DNA damage response factor, in early limb bud mesenchyme results in the near-total absence of forelimbs and severely underdeveloped hindlimbs. Mechanistically, Rpa1 deletion leads to extensive DNA damage and activates the cGAS-STING pathway, driving transcription of Zbp1 . Rpa1 deletion also leads to accumulation of Z-DNA bound by ZBP1, triggering the full activation of ZBP1 and subsequent mesenchymal stem cell death through PANoptosis. Our study reveals RPA1 as a vital protector of genomic stability during limb development and underscores ZBP1-dependent PANoptosis as a key pathway for eliminating cells with excessive DNA damage during embryonic development.
GPT-4o mini: Non-social science research article
In situ atomic-resolution imaging of water vapor–driven multistep oxidation dynamics in strontium cobaltite
Zhenzhong Yang, Ke Qu, Yifeng Zhao, Le Wang, Libor Kovarik, Peter V. Sushko, Yingjie Lyu, Jianbing Zhang, Pu Yu, Chungang Duan, Yingge Du
Full text
Understanding how water vapor interacts with transition metal oxides (TMOs) is critical for tailoring material properties to improve performance and enable new technologies. Despite extensive research efforts, atomic-scale mechanisms underpinning dynamic reactions and reaction-induced phase transitions remain elusive. Here, we use in situ environmental transmission electron microscopy to investigate how water vapor oxidizes vacancy-ordered SrCoO 2.5 at moderately elevated temperatures, demonstrating that water molecules can initiate oxidation more effectively than oxygen under comparable conditions. We discover a distinct “staging” behavior during the oxidation process: A fully ordered intermediate phase, SrCoO 2.75 , forms before transitioning into a near-perovskite SrCoO 3−ή . In addition, antiphase boundaries, originating at step terraces of SrTiO 3 , alleviate strain by creating reversible nanoscale “gaps” during lattice contraction under oxidation, providing a pathway for preserving structural integrity throughout redox cycling. This work provides atomic-level guidance for engineering TMOs by leveraging water vapor to control their redox behavior and tailor functional properties.
GPT-4o mini: Non-social science research article
Large-scale complementary carbon nanotube integrated circuits for harsh radiation environments
Ke Zhang, Daming Zhou, Ningfei Gao, Jiahao Zhang, Zhongzhen Tong, Jibo Zhao, Peng Liu, Xinhe Wang, Xiaoyang Lin, Haitao Xu, Lian-Mao Peng, Weisheng Zhao
Full text
Silicon-based integrated circuits operating in radiation environments require additional and complex hardening configurations, leading to performance lags compared to the International Roadmap for Devices and Systems. Carbon nanotubes (CNTs), with their ultrastrong chemical bonds and nanoscale dimensions, offer substantial potential for high-performance, radiation-tolerant electronics. However, the challenges associated with radiation-tolerant fabrication processes have hindered the development of macroelectronics using complementary CNT transistors (CNTFETs). In this study, we successfully fabricated radiation-tolerant, highly symmetric, and uniform CMOS building blocks, implementing various logic gates (inverters, NAND, and XOR gates) and ring oscillators (ROs) with 5, 11, and 501 stages. After irradiation up to 6 Mrad(Si), all devices maintained rail-to-rail outputs, and notably, the 501-stage RO, comprising 1004 CNTFETs, showed minimal delay variation (10.3 ± 0.8 ns). This work demonstrates the radiation-tolerant of large-scale CNTFETs, paving the way for their potential replacement of silicon-based FETs in radiation-heavy environments.
GPT-4o mini: Non-social science research article
Efficient termination of transcription by RNA polymerase I requires a conserved hairpin of the ribosomal RNA precursor
Soren Nielsen, Nikolay Zenkin
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RNA polymerase I (Pol I) synthesizes ribosomal RNA precursor (pre-rRNA), which comprises most of RNA in eukaryotic cells. Despite decades of investigation, there is still no consensus on what causes Pol I transcription termination. Here, we show that efficient termination by Pol I, paused by termination roadblock protein, is caused by RNA hairpin of the nascent pre-rRNA. Hairpin-dependent termination takes place at a physiological rate and does not require trans-acting factors. The function of the roadblock protein and the T-rich sequence is to synergistically cause deep backtracking of Pol I toward the termination RNA hairpin. Simultaneously, Pol I is catalytically inactivated, preventing rescue from backtracking through RNA cleavage and thus committing Pol I to termination. Termination RNA hairpins are present in most of Pol I terminators of eukaryotes, suggesting conservation of the RNA hairpin–dependent mechanism of Pol I transcription termination. We propose a simple model that unifies previous findings.
GPT-4o mini: Non-social science research article
Bayesian reconstruction of rapidly scanned mid-infrared optoacoustic signals enables fast, label-free chemical microscopy
Constantin Berger, Myeongseop Kim, Lukas Scheel-Platz, Andreas Eigenberger, Lukas Prantl, Panhang Liu, Vipul Gujrati, Vasilis Ntziachristos, Dominik JĂŒstel, Miguel A. Pleitez
Full text
Hyperspectral optoacoustic microscopy (OAM) enables obtaining images with label-free biomolecular contrast, offering excellent perspectives as a diagnostic tool to assess freshly excised and unprocessed biological samples. However, time-consuming raster scanning image formation currently limits the translation potential of OAM into the clinical setting, for instance, in intraoperative histopathological assessments, where micrographs of excised tissue need to be taken within a few minutes for fast clinical decision-making. Here, we present a non–data-driven computational framework tailored to enable fast OAM by rapid data acquisition and model-based image reconstruction, termed Bayesian raster-computed optoacoustic microscopy (BayROM). Unlike data-driven approaches, BayROM does not require training datasets, but instead, it uses probabilistic model-based reconstruction to facilitate fast high-resolution imaging. We show that BayROM enables acquiring micrographs 10 times faster on average than conventional raster scanning microscopy and provides sufficient image quality to facilitate the intraoperative histological assessment of processed fat grafts for autologous fat transfer.
GPT-4o mini: Non-social science research article
Plant negative-strand RNA virus phosphoprotein condensates exploit host trafficking and lipid synthesis for viral factory assembly
Zhiyi Wang, Jingyi Zhang, Jilei Huang, Gan Sha, Xinyue Song, Xue Cao, Zhenchen Yan, Chuanhe Liu, Siping Chen, Ziying Li, Xiuqin Huang, Qingjun Xie, Xin Yang, Guohui Zhou, Tong Zhang
Full text
RNA viruses often remodel host intracellular membranes to establish specialized replication compartments through viral protein–induced phase separation. However, the mechanisms underlying membrane remodeling and the characteristics that render these sites conducive to replication remain poorly understood, particularly in plant negative-strand RNA viruses. Here, we demonstrate that the phosphoprotein (P) of rice stripe mosaic virus (RSMV) forms biomolecular condensates via liquid-liquid phase separation (LLPS) to recruit essential components for viral replication factories (VFs). We identify a direct interaction between RSMV P and adenosine diphosphate (ADP) ribosylation factor 1 (OsARF1C), a crucial regulator of the coatomer protein I (COP I) vesicle transport pathway that is vital for viral replication. This interaction indirectly recruits OsARF1C’s partner, phosphatidylinositol 4-kinase beta (OsPI4KB), which drives localized phosphatidylinositol-4 phosphate (PI4P) synthesis. Concurrently, the P protein modulates its aggregates and LLPS droplets through PI4P, thereby expanding the replication site and enhancing viral replication.
GPT-4o mini: Non-social science research article
Microbiota metabolite taurodeoxycholic acid maintains intestinal tissue residency of innate lymphoid cells via engagement with P2Y10 receptor
Yuwei Xu, Zhen Xiong, Peikang Zhang, Runyuan Wu, Cunzhen Li, Hui Guo, Ying Du, Xiaoxiao Zhu, Dongdong Fan, Hongzhe Fan, Yong Tian, Yun Chen, Zusen Fan
Full text
Innate lymphoid cells (ILCs) play critical roles in innate immunity, epithelial barrier protection, and tissue homeostasis. However, the maintenance machinery of intestinal tissue residency of ILCs remains elusive. Here, we show that gut microbiota is necessary for the maintenance of intestinal tissue residency of ILCs. Microbiota metabolite taurodeoxycholic acid (TDCA) binds to P2Y10 receptor on ILCs to initiate downstream Ca 2+ and RhoA signaling pathways. TDCA-P2Y10 engagement induces Zfp414 transcription to prime expression of CD69 and integrin αE on ILCs, leading to intestinal residency of ILCs. Moreover, decreased levels of TDCA or P2Y10 deficiency abrogates the intestinal residency of ILCs, resulting in severer intestinal inflammation. Of note, TDCA administration can enhance intestinal tissue residency of ILCs and promote protection against intestinal inflammation. Thus, TDCA might be used as a potential drug to treat patients with inflammatory bowel disease.
GPT-4o mini: Non-social science research article
Bayesian learning-assisted catalyst discovery for efficient iridium utilization in electrochemical water splitting
Xiangfu Niu, Yanjun Chen, Mingze Sun, Satoshi Nagao, Yuki Aoki, Zhiqiang Niu, Liang Zhang
Full text
Reducing noble metal dependence in oxygen evolution reaction (OER) catalysts is essential for achieving sustainable and scalable green hydrogen production. Bimetallic oxides, with their potential for high catalytic performance and reduced noble metal content, represent promising alternatives to traditional IrO 2 -based OER catalysts. However, optimizing these materials remains challenging due to the complex interplay of elemental selection, composition, and chemical ordering. In this study, we integrate density functional theory (DFT) calculations with Bayesian learning to accelerate the discovery of high-performance, low-Ir bimetallic oxides, identifying surface Ir-doped TiO 2 as an optimal catalyst. Guided by theoretically optimized surface compositions and oxygen vacancies, we synthesized atomically dispersed Ir on TiO 2 , achieving a 23-fold increase in Ir mass-specific activity and a 115-millivolt reduction in overpotential compared to commercial IrO 2 . This work exemplifies a sustainable, data-driven pathway for electrocatalyst design that minimizes noble metal usage while maximizing efficiency, advancing scalable solutions in renewable energy and hydrogen production.
GPT-4o mini: Non-social science research article
A functionalized porous Al current collector enables high-energy density anode-free Na batteries
Yongling An, Zhihao Pei, Deyan Luan, Xiong Wen (David) Lou
Full text
Anode-free Na batteries offer the highest possible energy density but suffer from rapid capacity decay resulting mainly from the formation of Na dendrites and large volume change. Here, we design a functionalized porous Al current collector created through template-free electrodeposition and physical separation methods to modulate Na growth behavior. The controlled porous architecture, featuring interconnected ligament-channel networks, reduces structural stress and inhibits dendritic Na formation by lowering local current density and uniformizing ion flux. In addition, the abundant sodiophilic active sites boost reaction kinetics, decrease Na nucleation barrier, and subsequently manipulate homogeneous Na nucleation. Consequently, the porous Al host exhibits high reversibility of dendrite-free Na plating/stripping behavior. A proof-of-concept 4.3 V-class pouch cell achieves an energy density of up to 420.4 watt-hours per kilogram and stable cycling performance with 84.9% capacity retention over 100 cycles under anode-free conditions, providing a pathway for the design of anode-free Na batteries for practical applications.
GPT-4o mini: Non-social science research article
Laboratory-based in situ and operando tricolor x-ray photoelectron spectroscopy
Iris C. G. van den Bosch, Jahid Uz Zaman, Genrikh Shterk, Mai Hussein Hamed, Michael Schneider, Vadim Ratovskii, Yibin Bu, Paul M. Dietrich, Gertjan Koster, Christoph Baeumer
Full text
Innovative approaches to study buried interfaces and heterogeneous interactions under reaction conditions are crucial for advancing energy and catalytic materials. Our near-ambient pressure x-ray photoelectron spectroscopy (NAP-XPS) setup is equipped with a tricolor x-ray source, with Al Kα, Ag Lα, and Cr Kα excitation energies, enabling information depth–selective operando and in situ analysis of solid-liquid, solid-gas, and solid-solid interfaces. We present three case studies to demonstrate the systems’ capabilities. First, we compare experimental depth profiling of a LaMnO 3 /LaFeO 3 /Nb:SrTiO 3 multilayer with SESSA (simulation of electron spectra for surface analysis) simulations. Second, we examine the oxidation and reduction of Fe x O y as a function of environment and temperature. Last, the Pt/liquid electrolyte interface is examined, revealing surface oxidation in the absence of bulk oxidation. As our results confirm, the unique combination of a NAP-XPS with the tricolor x-ray source empowers laboratory-based in situ and operando XPS characterization of advanced materials under reaction conditions in a wide range of applications.
GPT-4o mini: Non-social science research article
Core metamorphism controls the dynamic habitability of mid-sized ocean worlds—The case of Ceres
Samuel W. Courville, Julie C. Castillo-Rogez, Mohit Melwani Daswani, Jordyn Robare, Joseph G. O’Rourke
Full text
Ceres’s surface mineralogy and density structure indicate an aqueous past. Observations from the Dawn mission revealed that Ceres likely hosted a global subsurface ocean in its early history, which was the site of pervasive aqueous alteration of accreted material. Subsurface environmental constraints inferred from Ceres’s surface mineralogy, combined with Ceres’s high abundance of carbon, suggest that the dwarf planet may have been habitable for microbial life. We present a coupled chemical and thermal evolution model tracking Ceres’s interior aqueous environment through time. If the rocky interior reached ≳550 K, then fluids released by rock metamorphism would have promoted conditions favorable for habitability by introducing redox disequilibrium into the ocean, a source of chemical energy for chemotrophs. We find that this period would have been between ~0.5 and 2 billion years after Ceres’s formation. Since then, Ceres’s ocean has likely become a cold, concentrated brine with fewer sources of energy, making it less likely to be habitable at present.
GPT-4o mini: Non-social science research article
Local increases in admixture with hunter-gatherers followed the initial expansion of Neolithic farmers across continental Europe
Alexandros Tsoupas, Carlos S. Reyna-Blanco, Claudio S. Quilodrån, Jens Blöcher, Maxime Brami, Daniel Wegmann, Joachim Burger, Mathias Currat
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The replacement of hunter-gatherer lifestyles by agriculture represents a pivotal change in human history. The initial stage of this Neolithic transition in Europe was instigated by the migration of farmers from Anatolia and the Aegean basin. In this study, we modeled the expansion of Neolithic farmers into central Europe along the continental route of dispersal. We used spatially explicit simulations of paleogenomic diversity and high-quality paleogenomic data from 67 prehistoric individuals to assess how population dynamics between Indigenous European hunter-gatherers and incoming farmers varied across space and time. Our results demonstrate that admixture between the two groups increased locally over time at each stage of the Neolithic expansion along the continental route. We estimate that the effective population size of farmers was about five times that of hunter-gatherers. In addition, we infer that sporadic long-distance migrations of early farmers contributed to their rapid dispersal, while competitive interactions with hunter-gatherers were limited.
GPT-4o mini: Non-social science research article
Metabolism-dependent succinylation governs resource allocation for antibiotic resistance
Jia-han Wu, Xuan-wei Chen, Ying-li Liu, Jia-yao Wu, Zhuang-gui Chen, Bo Peng
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The mechanisms that organisms allocate resources to sustain biological phenotypes remain largely unknown. Here, we use mobilized colistin resistance ( mcr-1 ), which modifies lipopolysaccharide (LPS) to confer colistin resistance, as a model to explore how bacteria reallocate resources to support mcr-1 –mediated resistance. We show that bacteria redirect resources from glycolysis, the pyruvate cycle, and LPS biosynthesis toward glycerophospholipid metabolism to produce phosphatidylethanolamine, the substrate for mcr-1 to modify LPS, while reducing LPS content to limit colistin binding. This reallocation down-regulates succinyl–coenzyme A (CoA) to diminish succinylation of proteins including triosephosphate isomerase (TPI), CpxR, and PdhR, thereby sustaining resistance. Exogenous succinate or α-ketoglutarate restores succinylation in a succinyl-CoA–dependent manner. Succinylation of TPI redirects metabolic flux to glycolysis and the pyruvate cycle, while succinylation of CpxR and PdhR up-regulates LPS biosynthesis, ultimately attenuating colistin resistance. Thus, we reveal a previously unrecognized mechanism by which bacteria regulate resource allocation through metabolism-driven posttranslational protein modification, offering strategies to combat antibiotic resistance.
GPT-4o mini: Non-social science research article
Supramolecular bending and twisting in the hierarchical self-assembly of monodisperse mesogenic oligomers
Chun Lam Clement Chan, Emily C. Ostermann, Shawn M. Maguire, Zachary Schmidt, Jacob S. Votava, Patryk Wąsik, Michael A. Webb, Emily C. Davidson
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Understanding how different forms of supramolecular curvature arise during assembly is crucial to designing and tuning the microstructure of hierarchically self-assembled materials. Here, we show that in crystalline phases of mesogenic oligomers, the oligomer length is a critical parameter that determines the type of curvature (Gaussian or cylindrical) exhibited by the self-assembled structures. We use iterative exponential growth to synthesize monodisperse mesogenic oligomers ranging from dimer to octamer. By analyzing their phase behavior and microstructure, we elucidate how length-dependent thermodynamic and kinetic effects tune their hierarchical degree of ordering. The oligomers’ length-dependent crystalline order drives the formation of scrolled sheets in shorter oligomers and twisted ribbons in longer oligomers. These studies highlight how oligomer length interplays with mesogen geometry and crystalline packing to drive self-assembly, introducing oligomer length as a powerful design parameter toward tailored applications of mesogenic systems.
GPT-4o mini: Non-social science research article
An imminent return to drought in the western Sahel?
Dahirou Wane, Alessandra Giannini, Alexey Kaplan, Amadou T. Gaye
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In the 1970s and 1980s, the semi-arid Sahel, the southern edge of the Sahara Desert, experienced spatially uniform drought, from the Atlantic Ocean to the Red Sea. The recovery that ensued is projected to continue in the center and east, leaving the west out. We show that these two patterns—uniform variation and east-west contrast—are present in instrumental observations and in simulations with constant or time-varying external forcing. Uniform variation is amplified by 20th century external forcing, while a global warming–induced strengthening of the monsoon seeds the east-west contrast. This contrast is deepened by a mid-21st century transition to a North Atlantic cooling relative to the global tropical oceans, which affects the western Sahel most strongly because it is immediately adjacent to the North Atlantic, leading to a divergence in outcomes—between a progressively wetter central and eastern Sahel and an abruptly drier western Sahel—that is unparalleled in instrumental observations.
GPT-4o mini: Non-social science research article
Mechanism and cellular actions of the potent AMPK inhibitor BAY-3827
Conchita Fraguas Bringas, Mohd Syed Ahangar, Joyceline Cuenco, Hongling Liu, Alex B. Addinsall, Maria Lindahl, Ashley J. Ovens, Mark A. Febbraio, Marc Foretz, Olga Göransson, John W. Scott, Elton Zeqiraj, Kei Sakamoto
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Inhibition of adenosine 5â€Č-monophosphate (AMP)–activated protein kinase (AMPK) is under increasing investigation for its therapeutic potential in many diseases. Existing AMPK inhibitors are however limited, with poor selectivity and substantial off-target effects. Here, we provide mechanistic insights and describe the cellular selectivity of the recently identified AMPK inhibitor BAY-3827. A 2.5-Å cocrystal structure of the AMPK kinase domain with BAY-3827 revealed distinct features including a disulfide bridge between the αD helix Cys 106 and the activation loop residue Cys 174 . This bridge appears to stabilize the activation loop such that Asn 162 repositions the Asp-Phe-Gly (DFG) motif Phe 158 toward the C-terminal lobe, displacing His 137 and disrupting the regulatory spine, promoting an inactive kinase state. In hepatocytes, BAY-3827 blocked AMPK activator (MK-8722)–mediated phosphorylation of ACC1 and corresponding inhibition of lipogenesis. Transcriptome analysis revealed that BAY-3827 down-regulated ~30% of MK-8722–stimulated AMPK-dependent genes. We establish the molecular and cellular basis of BAY-3827’s selectivity and utility for delineating AMPK functions while highlighting its limitations.
GPT-4o mini: Non-social science research article
Spatiotemporal reconstruction of Corded Ware and Bell Beaker burial rituals reveals complex dynamics divergent from steppe ancestry
Quentin P. J. Bourgeois, Florian Helmecke, Louise Olerud, Igor Djakovic, M. Guadalupe Castro Gonzales, Erik Kroon
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Understanding how the dispersal of cultural innovations intersects with the spread of genes remains a central challenge in prehistoric archaeology. Here, we examine how the third millennium BCE Corded Ware (CW) and Bell Beaker (BB) burial traditions disseminated across Europe and their relation to the influx of steppe ancestry. To investigate these spatiotemporal dynamics during one of Europe’s most transformative periods, we compiled a dataset of radiocarbon dates from 967 burials, applying kernel density estimation alongside optimal linear estimation. We show that the adoption of CW and BB funerary rites is not synchronized with, and often contradicts, the spread of steppe ancestry. Furthermore, we show that these burial traditions spread rapidly and polyfocally among dispersed communities before a brief yet continent-wide consolidation phase around 2600 BCE for CW and 2400 BCE for BB, suggesting broad, simultaneous societal changes among preliterate societies.
GPT-4o mini: Non-social science research article
Reticular thalamic hyperexcitability drives autism spectrum disorder behaviors in the Cntnap2 model of autism
Sung-Soo Jang, Fuga Takahashi, John R. Huguenard
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Autism spectrum disorders (ASDs) are neurodevelopmental conditions characterized by social deficits, repetitive behaviors, and comorbidities such as sensory abnormalities, sleep disturbances, and seizures. Although thalamocortical circuit dysfunction has been implicated in these symptoms, its precise roles in ASD pathophysiology remain poorly understood. Here, we examine the specific contribution of the reticular thalamic nucleus (RT), a key modulator of thalamocortical activity, to ASD-related behavioral deficits using a Cntnap2 knockout mouse model. Cntnap2 −/− mice displayed increased seizure susceptibility, locomotor activity, and repetitive behaviors. Electrophysiological recordings revealed enhanced intrathalamic oscillations and burst firing in RT neurons, accompanied by elevated T-type calcium currents. In vivo fiber photometry confirmed behavior-associated increases in RT population activity. Notably, pharmacological and chemogenetic suppression of RT excitability via Z944, a T-type calcium channel blocker, and via C21 activation of the inhibitory DREADD hM4Di significantly improved ASD-related behaviors. These findings identify RT hyperexcitability as a mechanistic driver of ASD and highlight RT as a potential therapeutic target.
GPT-4o mini: Non-social science research article
AKR1B10 dictates c-Myc stability to suppress colorectal cancer metastasis via PP2A nitration
Xiaoxue Wu, Shaoqing Huang, Jialing Gao, Shuting Huang, Lulu Chen, Ziyi Zhao, Ruihan Pu, Xiaojing Ma, Xianzhi Liu, Weiling He, Mei Song
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Metabolic enzymes, critical for cellular homeostasis, are frequently co-opted in a disease-specific manner to drive cancer progression. Here, we identify aldo-keto reductase family 1 member B10 (AKR1B10), down-regulated in gastrointestinal cancers, as a pivotal metastasis suppressor correlating with improved colorectal cancer (CRC) prognosis. Mechanistically, AKR1B10 activates protein phosphatase 2A (PP2A) by preventing redox-regulated nitration of its B56α subunit, preserving holoenzyme assembly and enabling c-Myc dephosphorylation at serine-62. Loss of AKR1B10 disrupts this pathway, stabilizing c-Myc, which drives integrin signaling and metastatic dissemination in CRC. We further demonstrate that lysine-125 of AKR1B10 is essential for its interaction with PP2A-Cα and B56α nitration, thereby attenuating CRC metastatic aggressiveness. Pharmacological restoration of PP2A activity effectively mitigates metastasis associated with AKR1B10 loss. In addition, c-Myc transcriptionally represses AKR1B10, establishing a feedback loop that sustains its down-regulation and enhances metastatic progression. This study uncovers an antimetastatic mechanism involving AKR1B10-mediated PP2A activation and highlights its potential as a biomarker and therapeutic target.
GPT-4o mini: Non-social science research article
Multi-isotope biographies and identities of victims of martial victory celebrations in Neolithic Europe
Teresa Fernåndez-Crespo, Christophe Snoeck, Javier Ordoño, Philippe Lefranc, Bertrand Perrin, Fanny Chenal, HélÚne Barrand-Emam, Rick J. Schulting, Gwenaëlle Goude
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Skeletons showing multiple instances of unhealed trauma and isolated skeletal segments of severed left upper limbs have been documented in the Neolithic sites of Achenheim and Bergheim (northeastern France, approximately 4300 to 4150 cal BCE), providing tantalizing evidence of war-related practices of overkill, mutilation, and/or trophy taking. Here, we conduct an innovative multi-isotope reconstruction of the biographies of the “victims” and other individuals from the region that were given normative funerary treatments (nonvictims). A total of 82 humans are analyzed, together with 53 animals and 35 modern plants to establish regional isotope baselines. Results show statistically significant isotopic differences between victims and nonvictims and suggest that the former were members of invading groups brutally killed, perhaps exposed and deposited in pits—together with trophies in the form of severed upper limbs—by local groups in what might be one of the earliest well-documented instances of martial victory celebrations in prehistoric Europe.
GPT-4o mini: Non-social science research article
A Dapl1 + subpopulation of naĂŻve CD8 T cells is enriched for memory-lineage precursors
Adam C. Lynch, Kaito A. Hioki, Xueting Liang, Iris Thesmar, Julia Cernjul, Xinjian Doris He, Jesse Mager, Wei Cui, Dominique Alfandari, Elena L. Pobezinskaya, Leonid A. Pobezinsky
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Memory CD8 T cells provide long-lasting immunity, but their developmental origins remain incompletely defined. Growing evidence suggests that functional heterogeneity exists within the naïve T cell pool, shaping lineage potential before antigen stimulation. Here, we identify a subpopulation of naïve CD8 T cells expressing death-associated protein-like 1 (Dapl1) that contains preprogrammed precursors biased toward memory differentiation. The differentiation of these precursors is independent of Dapl1 but relies on the transcription factor B-cell lymphoma/leukaemia 11b (Bcl11b), resulting in the generation of Dapl1 + central memory–like CD8 T cells after infection and stem-like memory cells in cancer. Dapl1 + naïve T cells originate among mature thymocytes and gradually appear in the periphery postnatally. Peripheral Dapl1 + and Dapl1 − populations show limited plasticity, supporting a thymic-imprinting model. These findings reveal a developmentally imprinted subset of naïve CD8 T cells committed to memory fate, uncovering an alternative pathway for memory T cell generation offering new avenues for therapeutic application.
GPT-4o mini: Non-social science research article
High-resolution MRI reveals uteroplacental flow dynamics in a 3D-printed human placental cotyledon model
Nirav Barapatre, David Frank, Franz Edler von Koch, Sven Grundmann, Hans-Georg Frank, Martin Bruschewski
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Doppler measurements of the uterine arteries are indirect measures of the uteroplacental blood flow. Given that the intervillous flow cannot be resolved by clinical imaging, theoretical models are used to study the flow dynamics in the intervillous space (IVS). We propose an experimental method to visualize the flow within the IVS of a single placental cotyledon postpartum. At first, a cotyledon is measured by micro-computed tomography imaging. The reconstructed volume is then used to create a near-realistic placenta model. Four variations of arterial inlets are designed to simulate both normal and abnormal flow patterns. A scaled version of the model is printed in three dimensions. Magnetic resonance imaging–based velocity measurements inside the printed model, which is perfused with a Newtonian fluid at two Reynolds numbers, revealed that the flow patterns are primarily influenced by the Reynolds number and the dilation of the arterial inlet. The spiralization of the arterial pathway had only a minimal impact.
GPT-4o mini: Non-social science research article
Massive extended streamers feed high-mass young stars
Fernando A. Olguin, Patricio Sanhueza, Adam Ginsburg, Huei-Ru Vivien Chen, Kei E. I. Tanaka, Xing Lu, Kaho Morii, Fumitaka Nakamura, Shanghuo Li, Yu Cheng, Qizhou Zhang, Qiuyi Luo, Yoko Oya, Takeshi Sakai, Masao Saito, Andrés E. Guzmån
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Stars are born in a variety of environments that determine how they gather gas to achieve their final masses. It is generally believed that disks are ubiquitous around protostars as a result of angular momentum conservation and are natural places to grow planets. As such, they are proposed to be the last link in the inflow chain from the molecular cloud to the star. However, disks are not the only form that inflows can take. Here, we report on high-resolution observations performed with the Atacama Large Millimeter/submillimeter Array that reveal inflows in the form of streamers. These streamers persist well within the expected disk radius, indicating that they play a substitute role channeling material from the envelope directly to an unresolved small disk or even directly to the forming high-mass protostar. These flows are massive enough to feed the central unresolved region at a rate suf ficient to quench the feedback effects of the young massive star.
GPT-4o mini: Non-social science research article
Light-triggered molecular mechanotherapy of tumor using membrane-mimicking conjugated oligoelectrolytes
Peirong Zhou, Di Zhang, Yingying Meng, Xiaoran Huang, Yongchuan Wu, Yuanqing Bai, Jingjing Guo, Hongwei Song, Kai Zhang, Liang Yao, Guillermo C. Bazan, Guangxue Feng, Cheng Zhou
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A class of light-mediated mechanotherapeutic agents was developed on the basis of conjugated oligoelectrolytes (COEs), which mimic the topology of lipid membranes and intrinsically exhibit excellent biocompatibility. Low-dose white light irradiation (20 milliwatts per square centimeter for 10 minutes) substantially decreased the half-maximal inhibitory concentration of the optimized COE against A549 cancer cells from more than 256 to 0.6 micromolar. Typical photodynamic and photothermal effects were not responsible for the potent anticancer efficacy. Biophysical and photophysical experiments using vesicle models revealed that COEs can induce mechanical force likely by molecular conformation change within lipid membranes under light exposure, supporting the mechanotherapeutic mechanism by which COEs after excitation can physically disrupt cell membrane. Investigation of two other COEs with similar spectral properties but different backbone architectures revealed that their mechanotherapeutic efficacy is dependent on molecular topology. These results highlight the potential to develop light-responsive mechanotherapeutic agents based on membrane-mimicking COE platform for cancer treatment.
GPT-4o mini: Non-social science research article
Identification of renal stem cells in zebrafish
Ting Yu, Xiaoliang Liu, Xiaoqin Tan, Yunfeng Zhang, Zhongwei He, Wenmin Yang, Tingting Tian, Yan Li, Jinghong Zhao, Chi Liu
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Renal stem cells (RSC) hold great promise as kidney disease regenerative therapies. However, RSCs capable of regenerating de novo nephrons remain unidentified in vertebrates. Therefore, this study aimed to identify RSCs in zebrafish. Single-cell RNA sequencing revealed eya2 , pax2a , and six2a as primary markers of zebrafish RSCs. Real-time imaging demonstrated that RSCs originated from eya2 -positive mesenchymal cells. Notably, photoconversion-based lineage tracing and serial transplantation assays revealed a unique RSC renewal process, characterized by a differentiation-proliferation-dedifferentiation mode. This process generates nephrons and nascent RSCs concurrently. In addition, precise Wnt signaling is key for RSC renewal and differentiation balance and directly activates eya2 expression to initiate renewal. This discovery establishes a foundation for the advancement of stem cell therapies for kidney diseases.
GPT-4o mini: Non-social science research article
Liver regeneration–associated hepatocellular YAP1 activation prevents colorectal cancer liver metastasis through glutamine competition
Qiang Yu, Mincheng Yu, Peiyi Xie, Lei Guo, Yufei Zhao, Wenxin Xu, Xian Li, Mengyuan Wu, Zihao Zhang, Zheng Chen, Yongsheng Xiao, Jian Zhou, Jia Fan, Mien-Chie Hung, Yongfeng Xu, Bo Zhang, Qinghai Ye, Hui Li
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The literature suggests that hepatocellular Yes-associated protein 1 (YAP1) signaling is activated following hepatectomy and that such activation can suppress the growth of metastatic liver tumors. The prognosis of a real-world cohort of 240 patients with colorectal cancer liver metastasis (CRLM) undergoing major and minor hepatectomy was compared after adjusting for confounding factors. To model CRLM, we induced liver metastasis in mice by transsplenically injecting MC38 cells. We found that patients with CRLM and mice undergoing major hepatectomy had better survival compared to those undergoing minor hepatectomy. Mechanistically, extensive hepatectomy activates hepatocellular YAP1 by regulating the epidermal growth factor receptor, altering glutamine metabolism–related gene expression and increasing liver glutamine consumption. This metabolic shift leads to glutamine scarcity in tumor cells, causing increased reactive oxygen species production, which promotes loss of YAP1 activity in tumor cells. Consequently, the production of the chemokine CXCL5 is suppressed, which inhibits myeloid-derived suppressor cell infiltration and enhancing the immunological function of CD8 + T cells.
GPT-4o mini: Non-social science research article
Naturally high fatigue performance of a 3D printing titanium alloy across all stress ratios
Zhan Qu, Zhenjun Zhang, Rui Liu, Zhefeng Zhang
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Three-dimensional printing of structural materials, namely, additive manufacturing (AM), has notable advantages in fabricating structurally complex engineering components. These complex components usually endure comprehensive fatigue examination due to their complex stress distribution with varying stress ratios during service. Therefore, it is important to ensure the fatigue reliability of additive manufactured materials across all stress ratios. We found that the AM microstructure itself in a Ti-6Al-4V alloy successfully synthesizes the tripartite advantages of fine prior ÎČ grain boundaries, void-free, and fine α grains, which are respectively sensitive to the low, medium, and high stress ratio regions. Under this synergistic effect, the fatigue performance of the natural AM microstructure across all stress ratios not only outperforms all additive manufactured and forged Ti-6Al-4V alloys, but also surpasses other metallic materials. Our finding highlights the potential advantage of additive manufacturing technology in producing complex components with high fatigue resistance, substantially expanding its application scope.
GPT-4o mini: Non-social science research article
Reverse control of biological networks to restore phenotype landscapes
Insoo Jung, Corbin Hopper, Seong-Hoon Jang, Hyunsoo Yeo, Kwang-Hyun Cho
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Biological systems consist of genetic elements and their regulatory interactions, forming networks that maintain life. However, accumulated alterations such as DNA damage can distort biological behavior, leading to undesirable responses to stimulus. This raises the question of whether we can restore their nominal stimulus-response relationships. Current control approaches tend to enforce a single desired response rather than restore the proper capacity for variable responses to different stimulus. Here, we present an algebraic reverse control (ARC) framework for reversion of altered biological networks. ARC leverages matrix operations to quantify the phenotype landscape of the altered network and identifies reverse control targets for recovering the phenotype landscape of a nominal network. ARC is scalable to large Boolean networks and identifies effective control targets to restore biological behavior.
GPT-4o mini: Non-social science research article
Characterization of the glycoproteins of fish and amphibian influenza B–like viruses
Gagandeep Singh, Jiachen Huang, Disha Bhavsar, Kirill Vasilev, James A. Ferguson, Geert-Jan Boons, Viviana Simon, Robert P. de Vries, Julianna Han, Andrew Ward, Florian Krammer
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Influenza-like virus sequences previously identified in fish and amphibians cluster as a sister clade of influenza B viruses but remain largely uncharacterized. We demonstrate that salamander influenza-like virus (SILV) hemagglutinin (HA) is functionally divergent from influenza B virus HA and does not bind to α2,3- and α2,6-linked sialic acids. However, the HAs of Siamese algae-eater influenza-like virus (SAEILV) and chum salmon influenza-like virus (CSILV) bind to α2,3-linked sialic acid. Furthermore, SAEILV HA binds to sialyated Lewis X, is activated by human airway enzymes, and is fusogenic over a broad pH range. SAEILV neuraminidase (NA) has a highly conserved active site and a similar structure to other known NAs. We also determined the cryo–electron microscopy structure of the HA of a previously described virus from the same sister clade, the Wuhan spiny eel influenza virus (WSEIV). No cross-reactive antibodies against these HAs or NAs were found in human serum, suggesting that humans are immunologically naĂŻve to these viruses.
GPT-4o mini: Non-social science research article
An alternative cytoplasmic SFPQ isoform with reduced phase separation potential is up-regulated in ALS
Jacob Neeves, Marija Petrić Howe, Oliver J. Ziff, Beth Callaghan, Daniel Jutzi, Koustav Pal, Theodoros I. Roumeliotis, Jyoti Choudhary, Adrian M. Isaacs, Frank Rigo, C. Frank Bennett, Marc-David Ruepp, Rickie Patani
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Splicing factor proline- and glutamine-rich (SFPQ) is an RNA binding protein that broadly regulates RNA metabolism. Although its nuclear roles are well studied, evidence of SFPQ’s cytoplasmic functionality is emerging. Altered expression and nuclear-to-cytoplasmic redistribution of SFPQ have been recognized in amyotrophic lateral sclerosis (ALS) pathology, yet the mechanistic bases for these phenomena remain undetermined. We identified altered SFPQ splicing in ALS, increasing the expression of an alternative mRNA isoform lacking a nuclear localization sequence, which we termed “ altSFPQ .” We find that altSFPQ mRNA contributes to SFPQ autoregulation and is highly unstable yet exhibits context-specific translation with cytoplasm-predominant localization. Notably, reduced canonical SFPQ coincides with increased altSFPQ transcript expression in familial and sporadic ALS models, providing a mechanistic basis for SFPQ nuclear-to-cytoplasmic redistribution in patients with ALS. Last, we observe that the altSFPQ protein has reduced phase separation potential and differential protein binding compared to its canonical counterpart, providing insight into its mechanistic relevance to physiology and ALS pathogenesis.
GPT-4o mini: Non-social science research article
Scalable metasurface-enhanced supercool cement
Guo Lu, Fengyin Du, Zhen Wang, Feilong Wu, Wenqiang Zuo, Xiaohang Xu, Zhangyu Wu, Chang Liu, Ruizhe Yang, Yanpei Tian, Zhangli Hu, Dongliang Zhao, Chenyue Guo, Tian Li, Wei She, Changwen Miao
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Structural materials with the capability for passive daytime radiative cooling (PDRC) show promise for the sustainable cooling of buildings. However, developing durable PDRC structural materials with optical robustness, ease of deployment, and scalability remain a challenge for civil engineering applications. We synthesized a metasurface-enhanced cooling cement using a universal, scalable pressure-driven fabrication strategy during a low-carbon production process. The self-assembly of multiple-sized reflective ettringites as main hydration products toward the metasurface, coupled with hierarchical pores, guaranteed high solar reflectance (96.2%), whereas raw materials containing alumina- and sulfur-rich function groups leveraged inherent mid-infrared emissivity (96.0%). This photonic-architectured cement achieved a temperature drop of 5.4°C during midday conditions with a solar intensity of 850 watts per square meter. This supercool cement featured intrinsic high strength, armored abrasive resistance, and optical stability, even when exposed to harsh conditions, such as corrosive liquids, ultraviolet radiation, and freeze-thaw cycles. A machine learning–guided life-cycle assessment indicated its potential to achieve a net-negative carbon emission profile.
GPT-4o mini: Non-social science research article
Correlation between unconventional superconductivity and strange metallicity revealed by operando superfluid density measurements
Ruozhou Zhang, Mingyang Qin, Chenyuan Li, Zhanyi Zhao, Zhongxu Wei, Juan Xu, Xingyu Jiang, Wenxin Cheng, Qiuyan Shi, Xuewei Wang, Jie Yuan, Yangmu Li, Qihong Chen, Tao Xiang, Subir Sachdev, Zi-Xiang Li, Kui Jin, Zhongxian Zhao
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Strange-metal behavior has been observed in superconductors ranging from cuprates to pressurized nickelates, but its relationship to unconventional superconductivity remains elusive. Here, we perform operando superfluid density measurements on ion-gated FeSe films. We observe a synchronized evolution of the superconducting condensate and the strange-metal phase with electron doping, from which a linear scaling between zero-temperature superfluid density and strange-metal resistivity coefficient is further established. The scaling also applies to different iron-based and cuprate superconductors despite their distinct electronic structures and pairing symmetries. Such a correlation can be reproduced in a theoretical calculation on the two-dimensional Yukawa-Sachdev-Ye-Kitaev model by considering a cooperative effect of quantum critical fluctuation and disorder. These findings suggest that a common mechanism may govern both the Cooper pair condensation and the normal-state strange metallicity in unconventional superconductors.
GPT-4o mini: Non-social science research article
Dynamic control of lithium dendrite growth with sequential guiding and limiting in all-solid-state batteries
Longbang Di, Zongji Huang, Lei Gao, Yunxing Zuo, Jinlong Zhu, Mengyu Sun, Shusen Zhao, Jiaxin Zheng, Songbai Han, Ruqiang Zou
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Solid-state electrolyte (SSE) is anticipated to exhibit proper mechanical strength and effectively inhibit the penetration of lithium dendrites. However, the growth of lithium dendrites is inevitable, driven by the intrinsic properties of SSEs. Hence, guiding the growth of lithium dendrites in a controllable way is more feasible instead of completely preventing their growth. Here, we present a strategically designed structural layer composed of graded lithium nitride particles, which guides the growth of lithium dendrites within confined spaces. Meanwhile, this layer is paired with a less lithium-stable electrolyte and enables the guided lithium dendrites to self-limit within localized regions at the interface. The comprehensive analysis further reveals that the designed bilayer SSE effectively harnesses the interface-generated pressure during battery cycling, achieving dynamic control of lithium dendrite growth. This interfacial structure design of SSE holds broad applicability for regulating lithium dendrites in all-solid-state lithium-metal batteries.
GPT-4o mini: Non-social science research article
Source mechanism of impulsive seafloor events that track submarine lava flows
Peifeng Wang, Yen Joe Tan, DelWayne R. Bohnenstiehl, William S.D. Wilcock, Maya Tolstoy, Felix Waldhauser, Yan Zhan, Wei-Ran Li
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Most of Earth’s volcanic eruptions are hidden beneath the ocean in complete darkness. Recent studies suggested that a type of impulsive event can track submarine lava flows, but their source mechanism remains uncertain. We analyze >20,000 impulsive events from the 2015 Axial Seamount eruption and find that their seismo-acoustic waveform characteristics suggest an implosive source mechanism. Integrating constraints from their spatiotemporal evolution with heat transfer estimates and geological observations, we propose that while the largest events might be related to volatiles degassed from magma, most events are generated by the implosion of bubbles formed from the vaporization of entrapped seawater by hot erupted lava. Similar events have been detected at other seamounts and slow to fast-spreading mid-ocean ridges, although eruptions at >3000-meter depth have proportionately fewer events because seawater vaporization is inhibited. Therefore, these impulsive seafloor events can be leveraged to remotely characterize eruption dynamics in most submarine volcanic settings.
GPT-4o mini: Non-social science research article
Mechanistic insights into TTLL11 polyglutamylase–mediated primary tubulin chain elongation
Jana Campbell, Miroslava Vosahlikova, Samar Ismail, Margareta Volnikova, Lucia Motlova, Julia Kudlacova, Kseniya Ustinova, Ivan Snajdr, Zora Novakova, Miroslav Basta, Irina Gutsche, Marie-Jo Moutin, Ambroise Desfosses, Cyril Barinka
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Microtubules (MTs) undergo diverse posttranslational modifications that regulate their structural and functional properties. Among these, polyglutamylation—a dominant and conserved modification targeting unstructured tubulin C-terminal tails—plays a pivotal role in defining the tubulin code. Here, we describe a mechanism by which tubulin tyrosine ligase–like 11 (TTLL11) expands and diversifies the code. Cryo–electron microscopy revealed a unique bipartite MT recognition strategy wherein TTLL11 binding and catalytic domains engage adjacent MT protofilaments. Biochemical and cellular assays identified previously uncharacterized polyglutamylation patterns, showing that TTLL11 directly extends the primary polypeptide chains of α- and ÎČ-tubulin in vitro, challenging the prevailing paradigms emphasizing lateral branching. Moreover, cell-based and in vivo data suggest a cross-talk between polyglutamylation and the detyrosination/tyrosination cycle likely linked to the TTLL11-mediated elongation of the primary α-tubulin chain. These findings unveil an unrecognized layer of complexity within the tubulin code and offer mechanistic insights into the molecular basis of functional specialization of MT cytoskeleton.
GPT-4o mini: Non-social science research article
Diverse oncogenes use common mechanisms to drive growth of major forms of human cancer
Otto Kauko, Mikko Turunen, PÀivi Pihlajamaa, Antti HÀkkinen, Rayner M. L. Queiroz, Mirva PÀÀkkönen, Sami VentelÀ, Massimiliano Gaetani, Susanna L. Lundström, Antonio Murgia, Biswajyoti Sahu, Johannes Routila, Gong-Hong Wei, Heikki Irjala, Julian L. Griffin, Kathryn S. Lilley, Teemu Kivioja, Sampsa Hautaniemi, Jussi Taipale
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Mutations in numerous genes contribute to human cancer, with different oncogenic lesions prevalent in different cancer types. However, the malignant phenotype is simple, characterized by unrestricted cell growth, invasion, and often metastasis. One possible hypothesis explaining this dichotomy is that cancer genes regulate common targets, which then function as master regulators of essential cancer phenotypes. To identify mechanisms that drive the most fundamental feature shared by all tumors—unrestricted cell proliferation—we used a multiomic approach, which identified translation and ribosome biogenesis as common targets of major oncogenic pathways across cancer types. Proteomic analysis of tumors and functional studies of cell cultures established nucleolar and coiled-body phosphoprotein 1 as a key node, whose convergent regulation, both transcriptionally and posttranslationally, is critical for tumor cell proliferation. Our results indicate that lineage-specific oncogenic pathways regulate the same set of targets for growth control, revealing key downstream nodes that could be targeted for therapy or chemoprevention.
GPT-4o mini: Non-social science research article
Cholinergic regulation of osteocyte mechanobiology: A paradigm for bone adaptation
Macy Mora-Antoinette, Andrea Garcia-Ortiz, Mariam Obaji, Alexander Saffari, Melia D. Matthews, Murtaza Wasi, Karl J. Lewis
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Recent evidence suggests that acetylcholine has a positive influence on bone mechanotransduction. Osteocytes express components for nicotinic acetylcholine receptors (nAChRs), which are known for mediating calcium signaling and may affect mechanosensitivity. Here, we use fluorescent imaging approaches to provide evidence of close spatial association between osteocytes and cholinergic nerve fibers in cortical bone in vivo. Moreover, we show that osteocytes are responsive to cholinergic signaling, influencing bone mechanoadaptation. We report sexually dimorphic patterns in bone structure and mechanobiology based on nAChR function. In females, osteocyte mechanosensitivity was decreased at small force magnitudes and tissue level deficits were recovered with anabolic loading. In males, osteocyte mechanosensitivity was increased in some groups and anabolic loading had very little effect on overall tissue architecture. This work establishes a previously unidentified paradigm wherein osteocytes interface with cholinergic nerves and bone mechanotransduction is regulated by osteocyte cholinergic signaling in a sexually dimorphic way.
GPT-4o mini: Non-social science research article
NtLLG4-mediated unconventional polar exocytosis of NtPPME1 coordinates cell wall rigidity and membrane dynamics to control pollen tube integrity
Xun Weng, Hao Wang (王昊), Yifeng Jiang, Ziheng Wang, Zhiheng Chen, Chuanhao Liu, Zhiyuan Yang, Jiayang Gao, Liwen Jiang, Lifeng Zhao, Jilei Huang, Feng Zhang, Hao Wang (王攩)
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Plant fertilization relies on controlled pollen tube growth that integrates membrane dynamics and cell wall expansion. We previously identified an unconventional exocytic pathway wherein Golgi-derived secretory vesicles (GDSVs) bypass the trans-Golgi network to deliver Nicotiana tabacum pectin methylesterase 1 (NtPPME1), thereby modulating cell wall rigidity. However, the mechanisms linking this pathway with membrane dynamics and signaling remain elusive. Here, we used cryo–focused ion beam–scanning electron microscopy and three-dimensional tomography to identified GDSVs as a distinct vesicle population at the pollen tube tip. We further demonstrated that tobacco LORELEI-like glycosylphosphatidylinositol-anchored protein 4 (NtLLG4), a key signaling molecule controlling membrane dynamics and integrity, functions as a receptor for NtPPME1, regulating its polar exocytosis via GDSVs to control cell wall stiffness. Furthermore, we identified trafficking signals that direct the unconventional exocytosis of NtPPME1 across intracellular organelles. Our findings reveal a crucial mechanism coupling cell wall rigidity with membrane signaling to control pollen tube growth and integrity during fertilization.
GPT-4o mini: Non-social science research article
Cryo–light microscopy with angstrom precision deciphers structural conformations of PIEZO1 in its native state
Hisham Mazal, Franz-Ferdinand Wieser, Daniel Bollschweiler, Alexandra Schambony, Vahid Sandoghdar
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Investigations based on cryo–electron microscopy (cryo-EM), atomic force microscopy, and super-resolution microscopy reveal a symmetric trimer with propeller-like blades for the mechanosensitive ion channel PIEZO. However, a conclusive understanding of its conformations in the cell membrane is lacking. Here, we implement a high-vacuum cryogenic shuttle to transfer shock-frozen cell membranes in and out of a cryostat designed for single-particle cryo–light microscopy (spCryo-LM). By localizing fluorescent labels placed at the extremities of the blades of the mouse PIEZO1 protein in unroofed cell membranes, we ascertain three configurations with radii of 6, 12, and 20 nanometers as projected onto the membrane plane. We elaborate on the correspondence of these data with previous reports in the literature. The combination of spCryo-LM with cryo-EM promises to provide quantitative insights into the structure and function of biomolecular complexes in their native environments without the need for chemical fixation or protein isolation, ushering in a new regime of correlative studies in structural biology.
GPT-4o mini: Non-social science research article
Gallium modulated tin oxide for continuous production of formic acid via durable acidic CO 2 electroreduction
Bingquan Jia, Zhe Chen, Kaili Zhu, Weili Shi, Zhuang Hu, Tao Wang, Licheng Sun, Biaobiao Zhang
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CO 2 reduction catalyst corrosion and H 2 evolution remain challenging under the strongly acidic electrolyte. Here, Ga-modulated SnO x was investigated to achieve a good Sn ή+ oxidation state stability for durable (> 4000 hours) acidic CO 2 reduction to HCOOH. Under pH 1.7, catalysts achieved a partial current density of 440 mA cm −2 at −1.63 V RHE and the highest single-pass conversion efficiency (SPCE) of 91.9%. In a 10 cm 2 electrolyzer, a total current of ~986.3 milliampere is exhibited for more than 4000 hours with Faradaic efficiency of HCOOH (FE HCOOH ) higher than 82% and SPCE higher than 50%. Mechanism study indicates that lattice oxygen anchoring effect of Ga due to its strong oxygen affinity establishes a stable framework, reinforcing interface Sn─O bonds and protecting the Sn ή+ from the heavy self-reduction process. The robust structure of catalyst and modulated active Sn ή+ sites elevate the CO 2 reduction activity. The durable and highly efficient catalytic system exhibits the potential for industrial applications of the Ga-modulated SnO x .
GPT-4o mini: Non-social science research article
Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots
Pinkun Wang, Changchao Zhang, Bo Li, Xiancun Meng, Yuechun Ding, Junqiu Zhang, Shichao Niu, Zhiwu Han, Liwei Lin, Luquan Ren
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Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechanism of the scorpion, a bioinspired piezoresistive pressure sensor (BPPS) is reported for the synergistic enhancement of sensitivity and linearity at 65.56 millivolts per volt per kilopascal and 0.99934, respectively, in a pressure range from 0 to 500 kilopascals. The BPPS can distinguish laminar, transitional, and turbulent flows as well as identify approaching objects of different shapes with an accuracy exceeding 85.42% by integrating a wavelet transform algorithm and the ResNet18 deep learning network. As a proof of concept, BPPS has been engineered in a hexapod robot to enable near-body flow field sensing for active collision avoidance. This work underscores the potential to leverage key design concepts inspired by living insects for improved sensing performance and offers structural insights for other high-precision sensors.
GPT-4o mini: Non-social science research article
Understanding monocyte-driven neuroinflammation in Alzheimer’s disease using human cortical organoid microphysiological systems
Chunhui Tian, Zheng Ao, Jonas Cerneckis, Hongwei Cai, Lei Chen, Hengyao Niu, Kazuo Takayama, Jungsu Kim, Yanhong Shi, Mingxia Gu, Takahisa Kanekiyo, Feng Guo
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Increasing evidence strongly links neuroinflammation to Alzheimer’s disease (AD) pathogenesis. Peripheral monocytes are crucial components of the human immune system, but their contribution to AD pathogenesis is still largely understudied partially due to limited human models. Here, we introduce human cortical organoid microphysiological systems (hCO-MPSs) to study AD monocyte-mediated neuroinflammation. By culturing doughnut-shape organoids on 3D-printed devices within standard 96-well plates, we generate hCO-MPSs with reduced necrosis, minimized hypoxia, and improved viability. Using these models, we found that monocytes from AD patients exhibit increased infiltration ability, decreased amyloid-ÎČ clearance capacity, and stronger inflammatory response than monocytes from age-matched control donors. Moreover, we observed that AD monocytes induce pro-inflammatory effects such as elevated astrocyte activation and neuronal apoptosis. Furthermore, the marked increase in IL1B and CCL3 expression underscores their pivotal role in AD monocyte-mediated neuroinflammation. Our findings provide insight into understanding monocytes’ role in AD pathogenesis, and our lab-compatible MPS models may offer a promising way for studying various neuroinflammatory diseases.
GPT-4o mini: Non-social science research article
Redox conduction facilitates direct interspecies electron transport in anaerobic methanotrophic consortia
Hang Yu, Shuai Xu, Yamini Jangir, Gunter Wegener, Victoria J. Orphan, Mohamed Y. El-Naggar
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Anaerobic methanotrophic archaea (ANME) and sulfate-reducing bacteria (SRB) form syntrophic partnerships in marine sediments to consume greenhouse gas methane. While direct interspecies electron transport is proposed to enable ANME/SRB symbiosis, its electrochemical properties remain uncharacterized. Here, using sediment-free enrichment cultures, we measured the electron transport capabilities of marine consortia under physiological conditions. Diverse ANME/SRB consortia exhibited high dry conductance close to electrogenic biofilms. This conductance diminished upon exposure to heat or oxygen but was preserved following paraformaldehyde fixation, indicating a biomolecular origin for this electric charge transfer. Cyclic voltammetry revealed redox activity centered at 28 ± 11, 94 ± 6, and 24 ± 7 millivolts for ANME-1/ Desulfofervidus , ANME-2a/Seep-SRB1, and ANME-2a+2c/Seep-SRB1+2 consortia, respectively. Generator-collector measurements further demonstrated that these redox components facilitate electron transport over micrometer-scale distances, sufficient to link archaeal and bacterial partners. Collectively, our results establish that marine ANME/SRB symbiosis uses redox conduction, consistent with multiheme cytochrome c , for direct interspecies electron transport.
GPT-4o mini: Non-social science research article
Moderate heating renders 7.8-million-year-old sedimentary organic matter bioavailable
Shuchai Gan, Verena B. Heuer, Frauke Schmidt, Lars Wörmer, Faming Wang, Rishi R. Adhikari, Patrick Hatcher, Ann Pearson, Kai-Uwe Hinrichs
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Marine sediments are a large reservoir of recalcitrant organic matter and host microbes at subsurface depths exceeding 2.4 kilometers and temperatures up to 120°C, yet the mechanisms supplying bioavailable substrates remain unclear. Here, we investigated 7.8-million-year-old sediment from IODP Site C0012 off the Nankai Trough, Japan, through incubations at 20°, 35°, 55°, and 85°C to simulate burial temperatures. Using 3D fluorescence spectroscopy and ultrahigh-resolution mass spectrometry, we tracked changes in dissolved organic matter (DOM). At 35°C, humic-like DOM was released alongside metal ions, exhibiting low bioavailability. At 55°C, abiotic decomposition of humic compounds generated smaller, more bioavailable DOM, promoting fermentation. At 85°C, large nitrogen-containing humic compounds decomposed, producing labile H 2 and acetate mainly through abiotic processes, bypassing fermentation. Our findings show how abiotic thermal processes activate the refractory organic matter pool, advancing our understanding of long-term carbon sequestration in marine sediments and its implications for global carbon cycling.
GPT-4o mini: Non-social science research article
High-value organic solvent recovery and reuse in perovskite solar cell manufacturing
Ziling Zheng, Yunpeng Zhou, Yuchao Wang, Ziming Cao, Rui Yang, Yaxing Li, Emely Gu, Jizhong Yao, Zheng Wang, Jun Ma, Buyi Yan, Le Shi
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Recycling high-value organic solvents is crucial but challenging in various industries. For example, the perovskite solar cell (PSC), a rising star of photovoltaic industry, calls for proper management of solvents like N , N -dimethylformamide (DMF). Traditional solvent recovery methods are often less effective, costly, and energy-intensive. To address this, we developed a multistage air-gap membrane distillation (MAMD) system that efficiently recovered DMF from waste solutions using industrial waste heat. Our MAMD system achieved a DMF enrichment factor up to 314 (increasing the concentration from 0.3 to 94.2 weight %) and stable operation over 60 hours. The recovered DMF (94.2 weight %) was used in perovskite minimodule fabrication, achieving a certified stabilized power output of 19.97%. The narrow efficiency deviation, state-of-the-art power conversion efficiency, and small hysteresis demonstrated the viability of using the recovered DMF in industrial fabrication. These results demonstrate the potential of our MAMD system to minimize the environmental footprint and promote sustainable PSC manufacturing.
GPT-4o mini: Non-social science research article
Using cyclic Hadamard masks for single-pixel quantum imaging under entangled photon illumination
Shuhang Bie, Xiaoxi Tong, Ziyang Lv, Hanyu Ye, Tun Cao
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Quantum imaging, operating at extremely low photon flux and accommodating nondegenerate imaging wavelengths, offers a unique approach for imaging light-sensitive structures. Conventional quantum imaging systems often require costly intensified charge-coupled devices together with complex delay line and triggering electronics, limiting broader applications. In this work, we propose an approach for quantum imaging that uses a simple rotating mask coded with cyclic Hadamard patterns, together with single-pixel detectors, eliminating the need for the abovementioned specialized devices. Single-pixel quantum imaging with a resolution of 41 pixels by 43 pixels is performed, and its noise-resistant performance is further studied with an improved gate time of 1 nanosecond using time-correlated single-photon counting. An imaging speed up to 2 frames per second can be achieved, corresponding to a spatial modulation rate of 3.8 kilohertz. Furthermore, quantum ghost imaging with the object and the mask modulation in separate beams is also demonstrated, showing the potential of our system for high-speed, low-cost, and noise-resistant quantum imaging applications.
GPT-4o mini: Non-social science research article
Coupling between ion transport and electronic properties in individual carbon nanotubes
Guandong Cui, Zhi Xu, Shuchen Zhang, Alessandro Siria, Ming Ma
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Carbon nanomaterials exhibit unique electrokinetic phenomena due to rapid ion transport within the Debye layer, which have been exploited for energy conversion, membrane technology, and liquid lubrication. The electronic properties of solids have been found to influence water permeation and proton transport; however, their effect on ion transport has not been observed. Here, we present an experimental investigation of ion transport in individual double-walled carbon nanotubes (CNTs) of both semiconducting and metallic nature. Systematic measurements show that conductance, streaming current, and osmotic current are larger in semiconducting tubes than in metallic ones. Together with a complete theoretical framework, we found that such behavior is caused by the smaller liquid-solid friction with the same surface charge density for the semiconducting system. As fast ion transport is the key element for efficient energy conversion, in CNTs, the thermoelectric conversion efficiency with ions is two orders of magnitude larger than with electrons, showing the supremacy of ions to recover the waste heat.
GPT-4o mini: Non-social science research article
Imprisoning 2H intermediate phases in blade-coated wide-bandgap perovskites for efficient all-perovskite tandem solar cells
Dexin Pu, Xuhao Zhang, Hongyi Fang, Weichen Shen, Guoyi Chen, Weiqing Chen, Peng Jia, Guang Li, Hongling Guan, Lishuai Huang, Yuan Zhou, Jiahao Wang, Wenwen Zheng, Weiwei Meng, Guojia Fang, Weijun Ke
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Scalable fabrication of high-efficiency all-perovskite tandem solar cells (TSCs) remains challenging due to notable voltage deficits in wide-bandgap perovskite solar cells, primarily driven by severe halide segregation during the large-scale blade coating process. Here, we introduce 4-aminobenzylphosphonic acid as a functional “2H-imprison” additive that selectively bypasses the formation of the 2H phase (an iodine-rich structure) and promotes the direct crystallization of the desired 3C phase, resulting in a homogeneous phase and halide distribution. Consequently, blade-coated 1.77–electron volt–bandgap perovskite solar cells achieved a power conversion efficiency (PCE) of 20.35% (certified 19.72%) with an open-circuit voltage of 1.35 volts for a ~0.07–square centimeter aperture area, while 1.02–square centimeter devices delivered a PCE of 19.00%. Furthermore, the corresponding blade-coated two- and four-terminal all-perovskite TSCs demonstrated high PCEs of 27.34 and 28.46%, respectively. This study reveals the origins of phase segregation during blade coating and provides a viable strategy to mitigate it, paving the way for scalable and high-efficiency TSCs.
GPT-4o mini: Non-social science research article
Inhibition of craniosynostosis and premature suture fusion in Twist1 mutant mice with RNA nanoparticle gene therapy
Samuel Swearson, Steve Eliason, Dan Su, Kevin G. Rice, Brad A. Amendt
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Craniosynostosis is a common birth defect affecting 1 of the 2200 live births causing severe skull and cognitive defects, due to premature cranial suture fusion. The current surgical treatments require invasive calvaria vault remodeling and cranial bone resection in the baby. We demonstrate that inhibition of miR-200a in PMIS–miR-200a mice results in coronal suture fusion (craniosynostosis). Therefore, we use overexpression of miR-200a to prevent suture fusion in Twist1 mutant mice, a well-known model for craniosynostosis. We developed a PEGylated-peptide nanoparticle system to deliver plasmid DNA expressing miR-200a directly to the sutures of postnatal day 4 (P4) Twist1 mutant mice before suture fusion. Injection of the miR-200a nanoparticles under the scalp before suture fusion at P7 to P10 inhibited suture fusion. Treatments increased Gli1- and Six2-positive suture stem cells and the thickness of the periosteum layer. The treated Twist1 +/− mice increased body weight and were alert and active. We demonstrate an effective noninvasive gene therapy treatment for craniosynostosis.
GPT-4o mini: Non-social science research article
Field-free switching of perpendicular magnetization in a ferrimagnetic insulator with spin reorientation transition
Yixuan Song, Thanh Nguyen, Mingda Li, Caroline A. Ross, Geoffrey S. D. Beach
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Writing magnetic bits through spin-orbit torque (SOT) switching is promising for fast and efficient magnetic random-access memory devices. While SOT switching of out-of-plane (OOP) magnetized states requires lateral symmetry breaking, in-plane (IP) magnetized states suffer from low storage density. Here, we demonstrate a field-free switching scheme using a 5-nanometer europium iron garnet film grown with a (110) orientation that shows a spin reorientation transition from OOP to IP above room temperature. This scheme combines the benefits of high-density storage in the OOP states at room temperature and the efficient field-free SOT switching in the IP states at elevated temperatures. While conventional switching of OOP bits faces the dilemma that high OOP anisotropy is required to improve bit stability and low OOP anisotropy is required to lower switching current density, this scheme disentangles this interdependence, allowing for low switching currents to be possible without sacrificing the bit stability, offering opportunities for future memory devices.
GPT-4o mini: Non-social science research article
Floquet optical selection rules in black phosphorus
Benshu Fan, Umberto De Giovannini, Hannes HĂŒbener, Shuyun Zhou, Wenhui Duan, Angel Rubio, Peizhe Tang
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Optical selection rules endorsed by symmetry are crucial for understanding the optical properties of quantum materials and the associated ultrafast spectral phenomena. Here, we introduce momentum-resolved Floquet optical selection rules using group theory to elucidate the pump-probe photoemission spectral distributions of monolayer black phosphorus (BP), which are governed by the symmetries of both the material and the lasers. Using time-dependent density functional theory (TDDFT), we further investigate the dynamical evolution of Floquet(-Volkov) states in the photoemission spectra of monolayer BP, revealing their spectral weights at specific momenta for each sideband. These observations are comprehensively explained by the proposed Floquet optical selection rules. Our framework not only clarifies experimental photoemission spectra but also uncovers unexplored characteristics under different pump-probe configurations. Our results are expected to deepen the understanding of light-induced ultrafast spectra in BP and can be extended to other Floquet systems.
The health burden and racial-ethnic disparities of air pollution from the major oil and gas lifecycle stages in the United States
Karn Vohra, Eloise A. Marais, Ploy Achakulwisut, Susan Anenberg, Colin Harkins
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The United States has one of the world’s largest oil and gas (O&G) industries, yet the health impacts and inequities from pollutants produced along the O&G lifecycle remain poorly characterized. Here, we model the contribution of major lifecycle stages (upstream, midstream, downstream, and end-use) to air pollution and estimate the associated chronic health outcomes and racial-ethnic disparities across the contiguous US in 2017. We estimate lifecycle annual burdens of 91,000 premature deaths attributable to fine particles (PM 2.5 ), nitrogen dioxide (NO 2 ), and ozone, 10,350 PM 2.5 -attributable preterm births, 216,000 incidences of NO 2 -attributable childhood-onset asthma, and 1610 lifetime cancers attributable to hazardous air pollutants (HAPs). Racial-ethnic minorities experience the greatest disparities in exposure and health burdens across almost all lifecycle stages. The greatest absolute disparities occur for Black and Asian populations from PM 2.5 and ozone, and the Asian population from NO 2 and HAPs. Relative inequities are most extreme from downstream activities, especially in Louisiana and Texas.
Elusive effects of legalized wolf hunting on human-wolf interactions
Leandra M. Merz, Bernhard Clemm von Hohenberg, Nicolas T. Bergmann, Jeremy T. Bruskotter, Neil H. Carter
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Expanding gray wolf ( Canis lupus ) populations in Europe and North America contribute to increased risks of livestock predation, which can threaten human livelihoods and lead government agencies to target wolves for lethal removal. Public wolf hunting is a highly contentious strategy for mitigating these risks, yet few empirical studies examine its effectiveness in doing so. Using difference-in-differences and structural equation modeling of data from the northwestern US between 2005 and 2021, we analyzed impacts of wolf hunting on livestock predation by wolves and government removal of wolves in the same year and with a 1-year time lag while controlling for social and environmental variables. We found that public wolf hunting had a small negative effect on livestock predation but had no effect on government lethal removal of wolves in the same or subsequent years. Our findings challenge the assumption that wolf hunting is an effective management strategy for reducing livestock predation and lethal removal.