← BioTransfer GEO Dataset Finder
GEO series

Antagonistic stem cell fates under stress govern decisions between hair greying and melanoma [scRNA-Seq]

GSE252031 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/07/07 Platform GPL30172
Summary
The exposome, an individual’s lifelong environmental exposure, profoundly impacts health. Somatic tissues undergo functional decline with age, exhibiting characteristic ageing phenotypes including hair graying and cancer. However, the specific genotoxins, signals and cellular mechanisms underlying each phenotype remain largely unknown. Here, we report that melanocyte stem cells (McSCs) and their niche coordinately determine individual stem cell fate through antagonistic, stress-responsive pathways, depending on the type of genotoxic damage incurred. McSC fate-tracking in mice revealed that McSCs undergo cellular senescence-associated differentiation (seno-differentiation) in response to DNA double-strand breaks (DSBs), resulting in their selective depletion and hair graying, and effectively protecting against melanoma. Conversely, carcinogens can suppress McSC seno-differentiation, even in DSB-harboring cells, by activating arachidonic acid metabolism and the niche-derived KIT ligand, thereby promoting McSC self-renewal. Collectively, the fate of individual stem cell clones - expansion versus exhaustion - cumulatively and antagonistically governs ageing phenotypes through interaction with the niche.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE252031_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1057154 and SRA study SRP480139. 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.

+ 8 more — browse all 8 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.