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作者:Brainard, Jeffrey
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作者:Zicho, Krisztian; Balog, Boldizsar Zsolt; Sebesteny, Reka Z.; Brunner, Janos; Takacs, Virag; Barth, Albert M.; Seng, Charlotte; Orosz, Aron; Aliczki, Mano; Sebok, Hunor; Mikics, Eva; Foeldy, Csaba; Szabadics, Janos; Nyiri, Gabor
作者单位:HUN-REN; HUN-REN Institute of Experimental Medicine; Semmelweis University; Pazmany Peter Catholic University; HUN-REN; HUN-REN Institute of Experimental Medicine; University of Zurich; HUN-REN; HUN-REN Institute of Experimental Medicine
摘要:Rewards are essential for motivation, decision-making, memory, and mental health. We identified the subventricular tegmental nucleus (SVTg) as a brainstem reward center. In mice, reward and its prediction activate the SVTg, and SVTg stimulation leads to place preference, reduced anxiety, and accumbal dopamine release. Mice self-stimulate the SVTg, which can also be activated directly by the neocortex, resulting in effective inhibition of the lateral habenula, a region associated with depressio...
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作者:Jiang, Kaiyi; Yan, Zhaoqing; Di Bernardo, Matteo; Sgrizzi, Samantha R.; Villiger, Lukas; Kayabolen, Alisan; Kim, B. J.; Carscadden, Josephine K.; Hiraizumi, Masahiro; Nishimasu, Hiroshi; Gootenberg, Jonathan S.; Abudayyeh, Omar O.
作者单位:Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard Medical School; Harvard University; Harvard Medical School; Harvard University; Harvard Medical School; Harvard University Medical Affiliates; Beth Israel Deaconess Medical Center; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Whitehead Institute; Kantonsspital St. Gallen; Massachusetts Institute of Technology (MIT); University of Tokyo; University of Tokyo
摘要:Directed protein evolution is central to biomedical applications but faces challenges such as experimental complexity, inefficient multiproperty optimization, and local maxima traps. Although in silico methods that use protein language models (PLMs) can provide modeled fitness landscape guidance, they struggle to generalize across diverse protein families and map to protein activity. We present EVOLVEpro, a few-shot active learning framework that combines PLMs and regression models to rapidly ...
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作者:Keyyu, Julius; Fyumagwa, Robert; Mjingo, Eblate; Silayo, Dos Santos; Masenga, Emmanuel; Kakengi, Victor; Rija, Alfan; Kideghesho, Jafari
作者单位:Sokoine University of Agriculture
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作者:Leshner, Alan I.; Thorp, H. Holden
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作者:Sarfatis, Ari; Wang, Yuanyou; Twumasi-Ankrah, Nana; Moffitt, Jeffrey R.
作者单位:Harvard University; Harvard University Medical Affiliates; Boston Children's Hospital; Program in Cellular & Molecular Medicine (PCMM); Harvard University; Harvard Medical School; Harvard University; Massachusetts Institute of Technology (MIT); Broad Institute
摘要:Single-cell decisions made in complex environments underlie many bacterial phenomena. Image-based transcriptomics approaches offer an avenue to study such behaviors, yet these approaches have been hindered by the massive density of bacterial messenger RNA. To overcome this challenge, we combined 1000-fold volumetric expansion with multiplexed error-robust fluorescence in situ hybridization (MERFISH) to create bacterial-MERFISH. This method enables high-throughput, spatially resolved profiling ...
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作者:[Anonymous]
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作者:Normile, Dennis
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作者:Stone, Richard
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作者:Brainard, Jeffrey