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ALKBH5 acts as a facilitator for hair follicle telogen to anagen transition

GSE310777 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2026/07/10 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 28 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
28 samples: 23 distinct titles, 5 of them repeatedGroups 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.
Summary (written by the submitters)
Hair cycle transitions play a pivotal role in sustaining hair growth, particularly the switch from telogen to anagen. During this process, hair follicle stem cells (HFSCs) are regulated by a complex and dynamic niche of signals that drive the cell state from quiescence to activation. However, how HFSCs adjust their state to respond to these signals remains unclear.
Read the full summary ↓
Here, we show that Alkbh5 expression is downregulated during late telogen, and its deletion promotes HFSC activation and proliferation, accelerating the telogen–anagen transition in mice. In vitro, ALKBH5-deficient HFSCs display enhanced proliferation under 3D culture. Loss of ALKBH5 increases the m6A methylation of Mcam, which is subsequently recognized and bound by YTHDF1, thereby stabilizing Mcam mRNA. Mcam expression increases as Alkbh5 decreases during late telogen, and Mcam knockdown impairs HFSC proliferation, potentially through reduced Wnt responsiveness. Furthermore, Mettl3 is also involved in maintaining hair cycle progression. We conclude that ALKBH5, a facilitator for hair cycle transition, dynamically regulates Mcam expression mediated by m6A methylation, and that proper HFSC activation potentially requires a balanced m6A regulatory mechanism involving both ALKBH5 and METTL3.
This dataset
Open GSE310777 in finder → Find more mouse 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 GSE310777_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 PRJNA1367059 and SRA study SRP647641. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
23 distinct titles, 5 of them repeated
bulge hair follicle stem cells, P69, WT mouse ×2 bulge hair follicle stem cells, P69, cKO mouse ×2 hair germ stem cells, P69, cKO mouse ×2 hair germ stem cells, P69, WT mouse ×2 hair germ stem cells, P69, WT mouse ×2

How we read this: Read from 28 sample titles: 23 distinct titles with little repetition. 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

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