У нас вы можете посмотреть бесплатно SenNet Interview Series: "cSplotch" Bringing Spatial Context to Gene Expression или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
In this installment of the SenNet Interview Series, we are joined by Aidan Daly, PhD, the creator of cSplotch, a computational tool that maps how aging reshapes the colon's molecular landscape. Published in Nature Biotechnology, the team at the New York Genome Center built a comprehensive spatial atlas of the colon, spanning 3 anatomical regions, 11 age groups, app. 1,500 mouse gut tissues, and over 400,000 single-nucleus RNA profiles. cSplotch uses a hierarchical Bayesian model to decode how age, sex, and tissue region influence gene expression across space, revealing hidden gradients along the colon and the multicellular programs that drive intestinal aging. Read the full paper: https://www.nature.com/articles/s4158... _____ The SenNet Interview Series is an anthology of video interviews with the researchers involved in the SenNet Consortium. In these interviews, scientists offer insights into their ongoing senescence research and initiatives within the Consortium. The Common Fund’s Cellular Senescence Network (SenNet) Program was established to comprehensively identify and characterize the differences in senescent cells across the body, across various states of human health, and across the lifespan. SenNet will provide publicly accessible atlases of senescent cells, the differences among them, and the molecules they secrete, using data collected from multiple human and model organism tissues. To identify and characterize these rare cells, SenNet will develop innovative tools and technologies that build upon previous advances in single cell analysis, such as those from the Common Fund’s Human Biomolecular Atlas Program and Single Cell Analysis Program. Lastly, SenNet aims to unite cellular senescence researchers by developing common terms and classifications for senescent cells. For more information, visit sennetconsortium.org.