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Dermal adipocytes activate hair follicle stem cells through metabolic communication [SDS II]

GSE295605 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/11/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
16 samples: 2 × SDS_D0 vs 2 × SDS_D1 vs 2 × SDS_D3 vs 2 × SDS_D5Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Adipocyte lipolysis activates epithelial stem cells for hair regeneration through fatty acid metabolic signalingCell metabolism · 2025
Summary (written by the submitters)
The ability of tissue stem cells to sense and respond to their surroundings enables them to adapt their activity to meet the needs of the organism. External irritation has long been observed in humans to cause acquired hypertrichosis, but the mechanism is unknown. We discovered that external irritation activates hair follicle stem cells (HFSCs), leading to substantial hair regeneration in mice.
Read the full summary ↓
The external irritation is sensed by niche adipocytes, which undergo lipolysis to activate HFSCs, rather than by the HFSCs themselves. Fatty acids released by adipocytes are taken up by HFSCs and activate them by priming them for fatty acid oxidation and increasing the mitochondrial oxidative phosphorylation capacity for ATP production. Inhibiting lipolysis, fatty acid uptake, or fatty acid oxidation restricts irritation-induced hair regeneration. As a result, adipocytes create an injury-sensing niche, allowing HFSCs to respond to external irritation by initiating a new round of hair growth to protect the skin.
Published in
Adipocyte lipolysis activates epithelial stem cells for hair regeneration through fatty acid metabolic signaling
Tai KY, Chen CL, Fan SM et al. · Cell metabolism 2025 · PMID 41130201 · doi:10.1016/j.cmet.2025.09.012
This dataset
Open GSE295605 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE295605_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1253434. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41130201) ↗
Study design
2 × SDS_D0 vs 2 × SDS_D1 vs 2 × SDS_D3 vs 2 × SDS_D5

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 8 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.