Transcriptomics

Dataset Information

0

Single-cell transcriptomic profiling of the aging mouse brain


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 provide a resource for the neuroscience community that will facilitate additional discoveries directed towards understanding and modifying the aging process.

ORGANISM(S): Mus musculus

PROVIDER: GSE129788 | GEO | 2019/07/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-02-20 | GSE193107 | GEO
2019-03-07 | PXD008353 | Pride
2025-04-30 | GSE292803 | GEO
2021-08-10 | GSE163697 | GEO
2021-04-07 | GSE168704 | GEO
2022-09-26 | GSE179236 | GEO
2021-09-30 | GSE179721 | GEO
2015-10-29 | PXD001250 | Pride
2023-01-14 | GSE222510 | GEO
| PRJNA865472 | ENA