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Mechanical Gating of Tendon Fibrogenic Transcription in Systemic Sclerosis

GSE319654 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2026/02/18 Platform GPL24247
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: 8 × Fosl2 Tg, Early vs 7 × WT control, Early vs 7 × Fosl2 Tg, Established vs 6 × WT control, EstablishedGroups 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
Mechanical gating of tendon fibrogenic transcription in systemic sclerosisNature communications · 2026
Summary (written by the submitters)
Fosl-2(Tg) mice develop spontaneous multiorgan fibrosis. RNA-seq was performed with tendon tissue from young animals before they develop tissue fibrosis (Early phenotype) and old animals with advanced fibrosis (Established phenotype), to explore gene expression changes that may contribute to the phenotype in tendons.
Published in
Mechanical gating of tendon fibrogenic transcription in systemic sclerosis
Hussien AA, Knell R, Wunderli SL et al. · Nature communications 2026 · PMID 41826288 · doi:10.1038/s41467-026-70395-2
This dataset
Open GSE319654 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 GSE319654_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 PRJNA1424922 and SRA study SRP677687. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41826288) ↗
Study design
8 × Fosl2 Tg, Early vs 7 × WT control, Early vs 7 × Fosl2 Tg, Established vs 6 × WT control, Established

Supports a between-group comparison across 28 samples.

How we read this: 4 replicated groups read from 28 sample titles; they account for 28 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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