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作者：Wekerle, Hartmut; Kawakami, Naoto
作者单位：University of Munich
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作者：Zhang, Stephen X.; Kim, Angela; Madara, Joseph C.; Zhu, Paula K.; Christenson, Lauren F.; Lutas, Andrew; Kalugin, Peter N.; Sunkavalli, Praneel S.; Jin, Yihan; Pal, Akash; Tian, Lin; Lowell, Bradford B.; Andermann, Mark L.
作者单位：Harvard University; Harvard Medical School; Harvard University Medical Affiliates; Beth Israel Deaconess Medical Center; University of California System; University of California Davis; University of California System; University of California Davis; Harvard University; Harvard Medical School; National Institutes of Health (NIH) - USA; NIH National Institute of Diabetes & Digestive & Kidney Diseases (NIDDK); Max Planck Society
摘要：Neuropeptides have important roles in neural plasticity, spiking and behaviour1. Yet, many fundamental questions remain regarding their spatiotemporal transmission, integration and functions in the awake brain. Here we examined how MC4R-expressing neurons in the paraventricular nucleus of the hypothalamus (PVHMC4R) integrate neuropeptide signals to modulate feeding-related fast synaptic transmission and titrate the transition to satiety2-6. We show that hunger-promoting AgRP axons release the ...
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作者：Corbett, Brian
作者单位：University College Cork
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作者：Naddaf, Miryam
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作者：Price, Ilan; Sanchez-Gonzalez, Alvaro; Alet, Ferran; Andersson, Tom R.; El-Kadi, Andrew; Masters, Dominic; Ewalds, Timo; Stott, Jacklynn; Mohamed, Shakir; Battaglia, Peter; Lam, Remi; Willson, Matthew
作者单位：Alphabet Inc.; Google Incorporated; DeepMind
摘要：Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather to planning renewable energy use. Traditionally, weather forecasts have been based on numerical weather prediction (NWP)1, which relies on physics-based simulations of the atmosphere. Recent advances in machine learning (ML)-based weather prediction (MLWP) have produced ML-based models with less forecast error t...
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作者：Caneque, Tatiana; Rodriguez, Raphael
作者单位：Centre National de la Recherche Scientifique (CNRS); UNICANCER; Universite PSL; Institut Curie
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作者：Zhuang, Xueqian; Wang, Qing; Joost, Simon; Ferrena, Alexander; Humphreys, David T.; Li, Zhuxuan; Blum, Melissa; Krause, Klavdija; Ding, Selena; Landais, Yuna; Zhan, Yingqian; Zhao, Yang; Chaligne, Ronan; Lee, Joo-Hyeon; Carrasco, Sebastian E.; Bhanot, Umeshkumar K.; Koche, Richard P.; Bott, Matthew J.; Katajisto, Pekka; Soto-Feliciano, Yadira M.; Pisanic, Thomas; Thomas, Tiffany; Zheng, Deyou; Wong, Emily S.; Tammela, Tuomas
作者单位：Memorial Sloan Kettering Cancer Center; Victor Chang Cardiac Research Institute; Yeshiva University; Cornell University; Weill Cornell Medicine; Memorial Sloan Kettering Cancer Center; Johns Hopkins University; Memorial Sloan Kettering Cancer Center; University of Cambridge; University of Cambridge; Memorial Sloan Kettering Cancer Center; Cornell University; Weill Cornell Medicine; Rockefeller University; Memorial Sloan Kettering Cancer Center; University of Helsinki; Karolinska Institutet; University of Helsinki; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Johns Hopkins University; Columbia University; Yeshiva University; Yeshiva University; Yeshiva University; University of New South Wales Sydney
摘要：Ageing is associated with a decline in the number and fitness of adult stem cells1,2. Ageing-associated loss of stemness is posited to suppress tumorigenesis3,4, but this hypothesis has not been tested in vivo. Here we use physiologically aged autochthonous genetically engineered5,6 mouse models and primary cells5,6 to demonstrate that ageing suppresses lung cancer initiation and progression by degrading the stemness of the alveolar cell of origin. This phenotype is underpinned by the ageing-a...
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作者：Marchant, Jo
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作者：Witze, Alexandra
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作者：Borton, Mikayla A.; Mcgivern, Bridget B.; Willi, Kathryn R.; Woodcroft, Ben J.; Mosier, Annika C.; Singleton, Derick M.; Bambakidis, Ted; Pelly, Aaron; Daly, Rebecca A.; Liu, Filipe; Freiburger, Andrew; Edirisinghe, Janaka N.; Faria, Jose P.; Danczak, Robert; Leleiwi, Ikaia; Goldman, Amy E.; Wilkins, Michael J.; Hall, Ed K.; Pennacchio, Christa; Roux, Simon; Eloe-Fadrosh, Emiley A.; Good, Stephen P.; Sullivan, Matthew B.; Wood-Charlson, Elisha M.; Miller, Christopher S.; Ross, Matthew R. V.; Henry, Christopher S.; Crump, Byron C.; Stegen, James C.; Wrighton, Kelly C.
作者单位：Colorado State University System; Colorado State University Fort Collins; Colorado State University System; Colorado State University Fort Collins; University of Queensland; Queensland University of Technology (QUT); Children's Hospital Colorado; University of Colorado System; University of Colorado Anschutz Medical Campus; University of Colorado Denver; Oregon State University; United States Department of Energy (DOE); Pacific Northwest National Laboratory; United States Department of Energy (DOE); Argonne National Laboratory; United States Department of Energy (DOE); Pacific Northwest National Laboratory; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; Oregon State University; University System of Ohio; Ohio State University; Oregon State University; Washington State University
摘要：Predicting elemental cycles and maintaining water quality under increasing anthropogenic influence requires knowledge of the spatial drivers of river microbiomes. However, understanding of the core microbial processes governing river biogeochemistry is hindered by a lack of genome-resolved functional insights and sampling across multiple rivers. Here we used a community science effort to accelerate the sampling, sequencing and genome-resolved analyses of river microbiomes to create the Genome ...
