| Literature DB >> 31551601 |
Methodios Ximerakis1,2,3, Scott L Lipnick4,5,6,7, Brendan T Innes8, Sean K Simmons6, Xian Adiconis6, Danielle Dionne6, Brittany A Mayweather4,5, Lan Nguyen6, Zachary Niziolek9, Ceren Ozek4,5, Vincent L Butty10, Ruth Isserlin8, Sean M Buchanan4,5, Stuart S Levine10, Aviv Regev6, Gary D Bader8, Joshua Z Levin6, Lee L Rubin11,12,13.
Abstract
The mammalian brain is complex, with multiple cell types performing a variety of diverse functions, but exactly how each cell type is affected in aging remains largely unknown. Here we performed a single-cell transcriptomic analysis of young and old mouse brains. We provide comprehensive datasets of aging-related genes, pathways and ligand-receptor interactions in nearly all brain cell types. Our analysis identified gene signatures that vary in a coordinated manner across cell types and gene sets that are regulated in a cell-type specific manner, even at times in opposite directions. These data reveal that aging, rather than inducing a universal program, drives a distinct transcriptional course in each cell population, and they highlight key molecular processes, including ribosome biogenesis, underlying brain aging. Overall, these large-scale datasets (accessible online at https://portals.broadinstitute.org/single_cell/study/aging-mouse-brain ) provide a resource for the neuroscience community that will facilitate additional discoveries directed towards understanding and modifying the aging process.Entities:
Mesh：
Year: 2019 PMID： 31551601 DOI： 10.1038/s41593-019-0491-3
Source DB: PubMed Journal: Nat Neurosci ISSN： 1097-6256 Impact factor: 24.884