← BioTransfer GEO Dataset Finder
GEO series

Multi-tissue, multi-time-point transcriptomic atlas of aging in mice and rats [mouse]

GSE314817 Mus musculus Expression profiling by high throughput sequencing 2432 samples Submitted 2026/03/05 Platform GPL24247
Summary
In order to get a greater understanding as to the genes and signaling pathways which are up- or down-regulated in a consistent manner throughout the rodent lifespan, we generated a high N age-related gene expression atlas in mice and rats, by profiling 28 tissues in male and female C57BL/6J mice, and 32 tissues in male Sprague Dawley rats (> 5000 samples) over multiple time points. We identified age-related genes and pathways that change either early in life, at mid-age, late in life, or linearly. Linear genes dominated many but not all tissues, and certain tissues (e.g. gut tissues) were relatively spared from age-related changes. We identified tissues that showed a strong sex bias or species bias. Given the expanse of our transcriptomic dataset, we hope this study will serve as a useful resource for understanding the timing, the tissue-specificity, the gender-specificity, and the species-specificity of age-related gene and pathway changes in male and female mice and male rats.
Published in
Multitissue, multi-time point transcriptomic atlas of aging in mice and rats
Shavlakadze T, Xiong K, Donne R et al. · Science advances 2026 · PMID 41984968 · doi:10.1126/sciadv.ady8401
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE314817_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 2432 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1250527 and SRA study SRP578446. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 2432 more — browse all 2432 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.