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scRNAseq of stretch-mediated skin expansion in mouse

GSE285079 Mus musculus (mouse) Single-cell RNA-seq 18 samples Submitted 2026/05/14 Platform GPL30172
At a glance

Single-cell RNA-seq · mouse · 18 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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 scRNAseq (10x Genomics) on control (CTRL) skin and expanded (EXP) skin 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. This study represents the first full skin scRNAseq study of in vivo stretch-mediated skin expansion.
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
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 GSE285079_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1201155 and SRA study SRP553009. Searching any of these in the dataset finder brings you back here.

Study design
18 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 18 sample titles: 18 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
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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.