PT  - JOURNAL ARTICLE
AU  - Methodios Ximerakis
AU  - Scott L. Lipnick
AU  - Sean K. Simmons
AU  - Xian Adiconis
AU  - Brendan T. Innes
AU  - Danielle Dionne
AU  - Lan Nguyen
AU  - Brittany A. Mayweather
AU  - Ceren Ozek
AU  - Zachary Niziolek
AU  - Vincent L. Butty
AU  - Ruth Isserlin
AU  - Sean M. Buchanan
AU  - Stuart R. Levine
AU  - Aviv Regev
AU  - Gary D Bader
AU  - Joshua Z. Levin
AU  - Lee L. Rubin
TI  - Single-cell transcriptomics of the aged mouse brain reveals convergent, divergent and unique aging signatures
AID  - 10.1101/440032
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 440032
4099  - http://biorxiv.org/content/early/2018/10/11/440032.short
4100  - http://biorxiv.org/content/early/2018/10/11/440032.full
AB  - The mammalian brain is complex, with multiple cell types performing a variety of diverse functions, but exactly how the brain is affected with aging remains largely unknown. Here we performed a single-cell transcriptomic analysis of young and old mouse brains. We provide a comprehensive dataset 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. Thus, our data reveals that aging, rather than inducing a universal program drives a distinct transcriptional course in each cell population. These data provide an important resource for the aging community and highlight key molecular processes, including ribosomal biogenesis, underlying aging. We believe that this large-scale dataset, which is publicly accessible online (aging-mouse-brain), will facilitate additional discoveries directed towards understanding and modifying the aging process.