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Growth signaling promotes H2A.Z deposition by SRCAP to sustain somatic tissue regeneration [RNA-Seq]

GSE278641 Homo sapiens (human) RNA-seq (gene expression) 42 samples Submitted 2025/08/01 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 42 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
Homo sapiens (human)
Samples
42 samples: 31 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.
Paper
Skin Epidermal Progenitor Maintenance by the SRCAP-H2A.Z Axis Downstream to Extracellular Signal-Regulated Kinase and mTOR SignalingThe Journal of investigative dermatology · 2026
Summary (written by the submitters)
In this study, we find that H2A.Z expression and chromatin occupancy dramatically decrease during normal epidermal differentiation. While the chromatin remodeler SRCAP is necessary and sufficient to maintain H2A.Z deposition in epidermal progenitors, EP400 is dispensable. Growth factor signaling mediated by the MAPK and PI3K signaling pathways is necessary to maintain both the expression and deposition of H2A.Z. Loss of SRCAP, H2AZ1, or H2AZ2 induces nuclear deformation and cytoplasmic DNA in progenitor keratinocytes which impairs DNA repair and proliferation.
Published in
Skin Epidermal Progenitor Maintenance by the SRCAP-H2A.Z Axis Downstream to Extracellular Signal-Regulated Kinase and mTOR Signaling
Droll SH, Xue C, Dewar EIO et al. · The Journal of investigative dermatology 2026 · PMID 40812470 · doi:10.1016/j.jid.2025.07.022
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 GSE278641_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 PRJNA1168139 and SRA study SRP536293. Searching any of these in the dataset finder brings you back here.

Study design
31 distinct titles, 5 of them repeated
DF H2AZ1 sh ×4 DF H2AZ2 sh ×4 DF SRCAP sh ×4 DF control 1 - h2az ×2 DF control 2 - h2az ×2

How we read this: Read from 42 sample titles: 31 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.