Single-cell transcriptomic profiling of the aging mouse brain.
Aging
/ genetics
Animals
Brain
/ cytology
Cell Communication
/ genetics
Cell Lineage
/ genetics
Gene Expression Profiling
Gene Expression Regulation
/ genetics
High-Throughput Nucleotide Sequencing
Male
Mice
Mice, Inbred C57BL
Neurons
/ physiology
Ribosomes
/ genetics
Single-Cell Analysis
Transcriptome
/ genetics
Journal
Nature neuroscience
ISSN: 1546-1726
Titre abrégé: Nat Neurosci
Pays: United States
ID NLM: 9809671
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
received:
10
10
2018
accepted:
09
08
2019
entrez:
26
9
2019
pubmed:
26
9
2019
medline:
7
11
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31551601
doi: 10.1038/s41593-019-0491-3
pii: 10.1038/s41593-019-0491-3
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1696-1708Références
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