Single-cell transcriptomic profiling of the aging mouse brain
Author(s)Ximerakis, Methodios; Lipnick, Scott L.; Innes, Brendan T.; Simmons, Sean Kenneth; Adiconis, Xian; Dionne, Danielle; Mayweather, Brittany A.; Nguyen, Lan; Niziolek, Zachary; Ozek, Ceren; Butty, Vincent; Isserlin, Ruth; Buchanan, Sean M.; Levine, Stuart S.; Regev, Aviv; Bader, Gary D.; Levin, Joshua Z.; Rubin, Lee L.; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Department of Biology; Broad Institute of MIT and Harvard
Springer Science and Business Media LLC
Ximerakis, Methodios et al. "Single-cell transcriptomic profiling of the aging mouse brain." Nature Neuroscience 22, 10 (September 2019): 1696–1708 © 2019 The Author(s)
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