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      Single-cell transcriptomic profiling of the aging mouse brain

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          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.

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          Author and article information

          Journal
          Nature Neuroscience
          Nat Neurosci
          Springer Science and Business Media LLC
          1097-6256
          1546-1726
          October 2019
          September 24 2019
          October 2019
          : 22
          : 10
          : 1696-1708
          Article
          10.1038/s41593-019-0491-3
          31551601
          64eb7e8e-7776-4b2d-853f-33fee9430773
          © 2019

          http://www.springer.com/tdm

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