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Single-cell transcriptomic profiling of the aging mouse brain.
Ximerakis, Methodios; Lipnick, Scott L; Innes, Brendan T; Simmons, Sean K; Adiconis, Xian; Dionne, Danielle; Mayweather, Brittany A; Nguyen, Lan; Niziolek, Zachary; Ozek, Ceren; Butty, Vincent L; Isserlin, Ruth; Buchanan, Sean M; Levine, Stuart S; Regev, Aviv; Bader, Gary D; Levin, Joshua Z; Rubin, Lee L.
Afiliação
  • Ximerakis M; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA. methodios_ximerakis@harvard.edu.
  • Lipnick SL; Harvard Stem Cell Institute, Cambridge, MA, USA. methodios_ximerakis@harvard.edu.
  • Innes BT; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA. methodios_ximerakis@harvard.edu.
  • Simmons SK; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
  • Adiconis X; Harvard Stem Cell Institute, Cambridge, MA, USA.
  • Dionne D; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
  • Mayweather BA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Nguyen L; The Donnelly Centre, University of Toronto, Toronto, ON, Canada.
  • Niziolek Z; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
  • Ozek C; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
  • Butty VL; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
  • Isserlin R; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
  • Buchanan SM; Harvard Stem Cell Institute, Cambridge, MA, USA.
  • Levine SS; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
  • Regev A; Bauer Core, Faculty of Arts and Sciences Division of Science, Harvard University, Cambridge, MA, USA.
  • Bader GD; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
  • Levin JZ; Harvard Stem Cell Institute, Cambridge, MA, USA.
  • Rubin LL; BioMicro Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Neurosci ; 22(10): 1696-1708, 2019 10.
Article em En | MEDLINE | ID: mdl-31551601
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Análise de Célula Única / Transcriptoma / Neurônios Limite: Animals Idioma: En Revista: Nat Neurosci Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Análise de Célula Única / Transcriptoma / Neurônios Limite: Animals Idioma: En Revista: Nat Neurosci Ano de publicação: 2019 Tipo de documento: Article