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Bulk RNAseq of sorted fibroblasts from a mouse model of stretch-mediated skin expansion

GSE284808 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2026/05/14 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 22 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
22 samples: 6 conditions, mostly in triplicateGroups 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
A stretch-responsive fibroblast program promotes epidermal stem cell self-renewal during skin expansionNature communications · 2026
Summary (written by the submitters)
Using an in vivo mouse model of stretch-mediated skin expansion, we have performed bulk RNAseq on control (CTRL) skin fibroblasts and expanded (EXP) skin fibroblasts at 3 time points: day 1, day 2 and day 4. Stretch-mediated expansion is used in reconstructive and cosmetic surgeries to produce extra skin, however the mechanisms behind it are not well understood.
Read the full summary ↓
Here we investigate the transcriptional changes occurring in fibroblasts upon expansion. We find downregulation of many extracellular matrix genes, including collagens, and upregulation of genes related to mitosis and sterol biosynthesis.
Published in
A stretch-responsive fibroblast program promotes epidermal stem cell self-renewal during skin expansion
Aguilera Stewart C, Alar C, Gozza GA et al. · Nature communications 2026 · PMID 42285958 · doi:10.1038/s41467-026-73979-0
This dataset
Open GSE284808 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 GSE284808_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 PRJNA1200691 and SRA study SRP552720. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42285958) ↗
Study design
6 conditions, mostly in triplicate
Day 1 EXP fibroblasts # ×5 Day 1 CTRL fibroblasts # ×4 Day 4 CTRL fibroblasts # ×4 Day 2 CTRL fibroblasts # ×3 Day 2 EXP fibroblasts # ×3 Day 4 EXP fibroblasts # ×3

Supports a between-group comparison across 22 samples.

How we read this: 6 replicated groups read from 22 sample titles; they account for 22 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

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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.