← BioTransfer GEO Dataset Finder
GEO series

Intermittent fasting triggers interorgan communication to suppress hair follicle regeneration

GSE246952 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2024/11/07 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 17 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
17 samples: 7 conditions, mostly in duplicateGroups 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
Intermittent fasting triggers interorgan communication to suppress hair follicle regenerationCell · 2025
Summary (written by the submitters)
Intermittent fasting has gained increasing popularity globally for its potential benefits for improving health and managing weight, but how it impacts the homeostasis and regeneration of peripheral tissues remains elusive. Here we report that in mice, commonly used intermittent fasting regimens negatively affect hair regeneration by selectively inducing apoptosis in activated hair follicle stem cells (HFSCs).
Read the full summary ↓
Through manipulating animals' daily feeding schedules and caloric intake, we have found that the impaired hair regeneration is primarily caused by the extended fasting periods within these regimens, rather than a reduction in total caloric intake or alterations in circadian rhythm. As the fasting period lengthens, the severity of the defects worsens. Mechanistically, extended periods of fasting activate the hypothalamic-pituitary-adrenal axis, prompting the release of lipolytic hormones from the adrenal glands into circulation. This triggers rapid lipolysis in dermal adipocytes, elevating levels of free fatty acids within the skin. Consequently, fatty acid oxidation is activated in HFSCs, causing increased cellular oxidative stress and apoptosis. Surgical removal of adrenal glands, genetic inhibition of fatty acid oxidation in HFSCs, or enhancement of HFSCs’ antioxidant capability genetically or pharmaceutically prevents fasting-induced stem cell death. Our study reveals a detrimental effect of intermittent fasting on somatic stem cells and peripheral tissue regeneration, and identifies a close crosstalk between an ancient neuroendocrine mechanism and a critical niche component that functions as a “brake” to halt tissue regeneration when the supply of nutrients becomes unstable.
Published in
Intermittent fasting triggers interorgan communication to suppress hair follicle regeneration
Chen H, Liu C, Cui S et al. · Cell 2025 · PMID 39674178 · doi:10.1016/j.cell.2024.11.004
This dataset
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.

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 GSE246952_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1035228 and SRA study SRP470005. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in duplicate
HFSCs, Ad libitum, ×3 HFSCs, Fasting for 24hrs, ×3 HFSCs, Fasting for 48hrs, ×3 EpiSCs, Ad libitum, ×2 HFSCs, long term ADF, ×2 HFSCs, long term AL, ×2 HFSCs, 2nd telogen, ×2

Supports a between-group comparison across 17 samples.

How we read this: 7 replicated groups read from 17 sample titles; they account for 17 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 →

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.