6732期

最新文章

• Variable impacts of land-based climate mitigation on habitat area for vertebrate diversity AI翻译
  作者：Smith, Jeffrey R.; Beaury, Evelyn M.; Cook-Patton, Susan C.; Levine, Jonathan M.
  作者单位：Princeton University; Princeton University; New York Botanical Garden; Nature Conservancy
  摘要：Pathways to achieving net zero carbon emissions commonly involve deploying reforestation, afforestation, and bioenergy crops across millions of hectares of land. It is often assumed that by helping to mitigate climate change, these strategies indirectly benefit biodiversity. Here, we modeled the climate and habitat requirements of 14,234 vertebrate species and show that the impact of these strategies on species' habitat area tends not to arise through climate mitigation, but rather through hab...
• A bite of expertise AI翻译
  作者：Childress, Luke
  作者单位：University of Arkansas System; University of Arkansas Fayetteville
• Systematic identification of Y-chromosome gene functions in mouse spermatogenesis AI翻译
  作者：Subrini, Jeremie; Varsally, Wazeer; Balsells, Irina Balaguer; Bensberg, Maike; Sioutas, Georgios; Ojarikre, Obah; Maciulyte, Valdone; Gylemo, Bjoern; Crawley, Katharine; Courtis, Katherine; de Rooij, Dirk G.; Turner, James M. A.
  作者单位：Francis Crick Institute; Linkoping University; Linkoping University; Francis Crick Institute; Utrecht University; University of Amsterdam; Academic Medical Center Amsterdam
  摘要：The mammalian Y chromosome is essential for male fertility, but which Y genes regulate spermatogenesis is unresolved. We addressed this by generating 13 Y-deletant mouse models. In Eif2s3y, Uty, and Zfy2 deletants, spermatogenesis was impaired. We found that Uty regulates spermatogonial proliferation, revealed a role for Zfy2 in promoting meiotic sex chromosome pairing, and uncovered unexpected effects of Y genes on the somatic testis transcriptome. In the remaining single Y-gene deletants, sp...
• Blue Origin emerges as competitor to SpaceX AI翻译
  作者：Brainard, Jeffrey
• Early supernovae seeded dust AI翻译
  作者：Brainard, Jeffrey
• Identification of the subventricular tegmental nucleus as brainstem reward center AI翻译
  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...
• Rapid in silico directed evolution by a protein language model with EVOLVEpro AI翻译
  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 ...
• Tanzania's effective trophy hunting laws AI翻译
  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
• Citizen of science AI翻译
  作者：Leshner, Alan I.; Thorp, H. Holden
• Highly multiplexed spatial transcriptomics in bacteria AI翻译
  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 ...