Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain.

ABSTRACT: The diversity of cell types is a challenge for quantifying aging and its reversal. Here we develop 'aging clocks' based on single-cell transcriptomics to characterize cell-type-specific aging and rejuvenation. We generated single-cell transcriptomes from the subventricular zone neurogenic region of 28 mice, tiling ages from young to old. We trained single-cell-based regression models to predict chronological age and biological age (neural stem cell proliferation capacity). These aging clocks are generalizable to independent cohorts of mice, other regions of the brains, and other species. To determine if these aging clocks could quantify transcriptomic rejuvenation, we generated single-cell transcriptomic datasets of neurogenic regions for two interventions-heterochronic parabiosis and exer

SUBMITTER: Buckley MT 

PROVIDER: S-EPMC10154228 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature