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作者：Poterucha, Timothy J.; Jing, Linyuan; Ricart, Ramon Pimentel; Adjei-Mosi, Michael; Finer, Joshua; Hartzel, Dustin; Kelsey, Christopher; Long, Aaron; Rocha, Daniel; Ruhl, Jeffrey A.; vanMaanen, David; Probst, Marc A.; Daniels, Brock; Joshi, Shalmali D.; Tastet, Olivier; Corbin, Denis; Avram, Robert; Barrios, Joshua P.; Tison, Geoffrey H.; Chiu, I-Min; Ouyang, David; Volodarskiy, Alexander; Castillo, Michelle; Oliver, Francisco A. Roedan; Malta, Paloma P.; Ye, Siqin; Rosner, Gregg F.; Dizon, Jose M.; Ali, Shah R.; Liu, Qi; Bradley, Corey K.; Vaishnava, Prashant; Waksmonski, Carol A.; DeFilippis, Ersilia M.; Agarwal, Vratika; Lebehn, Mark; Kampaktsis, Polydoros N.; Shames, Sofia; Beecy, Ashley N.; Kumaraiah, Deepa; Homma, Shunichi; Schwartz, Allan; Hahn, Rebecca T.; Leon, Martin; Einstein, Andrew J.; Maurer, Mathew S.; Hartman, Heidi S.; Hughes, John Weston; Haggerty, Christopher M.; Elias, Pierre
作者单位：Columbia University; NewYork-Presbyterian Hospital; NewYork-Presbyterian Hospital; Columbia University; Columbia University; Columbia University; NewYork-Presbyterian Hospital; Cornell University; Weill Cornell Medicine; Cornell University; Weill Cornell Medicine; Universite de Montreal; University of California System; University of California San Francisco; University of California System; University of California San Francisco; Cedars Sinai Medical Center; Chang Gung Memorial Hospital; Cornell University; Weill Cornell Medicine; Cardiovascular Research Foundation (CRF); Columbia University; NewYork-Presbyterian Hospital
摘要：Early detection of structural heart disease is critical to improving outcomes, but widespread screening remains limited by the cost and accessibility of imaging tools such as echocardiography1,2. Recent advances in machine learning applied to heart rhythm recordings have shown promise in identifying disease3,4, although previous work has been limited by development in narrow populations or targeting only select heart conditions5. Here we introduce a deep learning model, EchoNext, trained on mo...
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作者：Sukalskaia, Anastasiia; Karner, Andreas; Pugnetti, Anna; Weber, Florian; Plochberger, Birgit; Dutzler, Raimund
作者单位：University of Zurich
摘要：The Tweety homologues (TTYHs) constitute a family of eukaryotic membrane proteins that, on the basis of structural features, were recently proposed to contribute to lipid transfer between soluble carriers and cellular membranes1. However, in the absence of supporting data, this function was hypothetical. Here through pull-down of endogenous proteins, we identify APOE as the interaction partner of human TTYH2. Subcellular fractionation and immunocytochemistry assays showed that both proteins co...
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作者：Kavanagh, Katie
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作者：Liu, Lu; Xiong, Langlang; Wang, Chongwu; Bai, Yihua; Ma, Weiliang; Wang, Yupeng; Li, Peining; Li, Guogang; Wang, Qi Jie; Garcia-Vidal, Francisco J.; Dai, Zhigao; Hu, Guangwei
作者单位：China University of Geosciences; Nanyang Technological University; University of Electronic Science & Technology of China; Huazhong University of Science & Technology; Huazhong University of Science & Technology; China University of Geosciences; Autonomous University of Madrid; Autonomous University of Madrid; China University of Geosciences; Nanyang Technological University
摘要：Hybridized matter-photon excitations in hyperbolic crystals-anisotropic materials characterized by permittivity tensor components with opposite sign-have attracted substantial attention owing to their strong light-matter interactions in the form of hyperbolic polaritons1, 2-3. However, these phenomena have been restricted to hyperbolic crystals, whose optical responses are confined to fixed spectral regions and lack tunability, thereby limiting their broader applicability4,5. Here we demonstra...
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作者：Naddaf, Miryam
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作者：Russo, Laura
作者单位：University of Milano-Bicocca
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作者：Macnaghten, Philip
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作者：[Anonymous]
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作者：Alsaud, Loay Abu
作者单位：An Najah National University
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作者：Lamprecht, Dirk A.; Wall, Richard J.; Leemans, Annelies; Truebody, Barry; Sprangers, Joke; Fiogbe, Patricia; Davies, Cadi; Wetzel, Jennefer; Daems, Stijn; Pearson, William; Pillay, Vanessa; Saylock, Samantha; Ricketts, M. Daniel; Davis, Ellie; Huff, Adam; Grell, Tsehai; Lin, Shiming; Gerber, Michelle; Vos, Ann; Dallow, John; Willcocks, Sam J.; Roubert, Christine; Sans, Stephanie; Desorme, Amandine; Chappat, Nicolas; Ray, Aurelie; Pereira Moraes, Mariana; Washington, Tracy; D'Erasmo, Hope; Sancheti, Pavankumar; Everaerts, Melissa; Monshouwer, Mario; Esquivias, Jorge; Larrouy-Maumus, Gerald; Draghia Akli, Ruxandra; Fletcher, Helen; Pym, Alexander S.; Aldridge, Bree B.; Sarathy, Jansy P.; Clancy, Kathleen W.; Stoops, Bart; Dhar, Neeraj; Steyn, Adrie J. C.; Jackson, Paul; Aguilar-Perez, Clara; Koul, Anil
作者单位：Johnson & Johnson; Johson & Johnson Belgium; Janssen Pharmaceuticals; University of London; London School of Hygiene & Tropical Medicine; Africa Health Research Institute; University of Kwazulu Natal; Johnson & Johnson; Johnson & Johnson USA; Janssen Biotech Inc; Janssen Pharmaceuticals; University of Saskatchewan; Johnson & Johnson; Johson & Johnson Belgium; Janssen Pharmaceuticals; Tufts University; Johnson & Johnson; Janssen Pharmaceuticals; Imperial College London; Johnson & Johnson; Janssen Pharmaceuticals; Tufts University; University of Alabama System; University of Alabama Birmingham; University of Alabama System; University of Alabama Birmingham; Johnson & Johnson; Janssen Pharmaceuticals; Johnson & Johnson USA; University of Cape Town; Brunel University
摘要：Tuberculosis remains the leading cause of death from an infectious disease1,2. Here we report the discovery of a first-in-class small-molecule inhibitor targeting PurF, the first enzyme in the mycobacterial de novo purine biosynthesis pathway. The lead candidate, JNJ-6640, exhibited nanomolar bactericidal activity in vitro. Comprehensive genetic and biochemical approaches confirmed that JNJ-6640 was highly selective for mycobacterial PurF. Single-cell-level microscopy demonstrated a downstream...
