| Literature DB >> 35549429 |
Gökcen Eraslan1, Eugene Drokhlyansky1, Shankara Anand2, Evgenij Fiskin1, Ayshwarya Subramanian1, Michal Slyper1, Jiali Wang3,4,5, Ayellet V Segrè3,4,5, François Aguet2, Orit Rozenblatt-Rosen1, Kristin G Ardlie2, Aviv Regev1,6, Nicholas Van Wittenberghe1, John M Rouhana3,4,5, Julia Waldman1, Orr Ashenberg1, Monkol Lek7, Danielle Dionne1, Thet Su Win8, Michael S Cuoco1, Olena Kuksenko1, Alexander M Tsankov9, Philip A Branton10, Jamie L Marshall2, Anna Greka2,11, Gad Getz2,12,13.
Abstract
Understanding gene function and regulation in homeostasis and disease requires knowledge of the cellular and tissue contexts in which genes are expressed. Here, we applied four single-nucleus RNA sequencing methods to eight diverse, archived, frozen tissue types from 16 donors and 25 samples, generating a cross-tissue atlas of 209,126 nuclei profiles, which we integrated across tissues, donors, and laboratory methods with a conditional variational autoencoder. Using the resulting cross-tissue atlas, we highlight shared and tissue-specific features of tissue-resident cell populations; identify cell types that might contribute to neuromuscular, metabolic, and immune components of monogenic diseases and the biological processes involved in their pathology; and determine cell types and gene modules that might underlie disease mechanisms for complex traits analyzed by genome-wide association studies.Entities:
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Year: 2022 PMID: 35549429 PMCID: PMC9383269 DOI: 10.1126/science.abl4290
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 63.714