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Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammaging

GSE297515 Mus musculus (mouse) RNA-seq (gene expression) 90 samples Submitted 2026/01/13 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 90 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
90 samples: 29 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
Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammagingNature immunology · 2026
Summary (written by the submitters)
As the actuator of movement and a key regulator of organismal metabolism, skeletal muscle is a site at which inflammatory responses must be carefully calibrated to counteract imposed stressors while preventing protracted functional impairments. Exercise, injury, and aging are common forms of stress associated with inflammation, particularly in skeletal muscle, yet the specific inducers and sensors driving such inflammation are not fully understood.
Read the full summary ↓
Multi-pronged assessment of acute and chronic endurance-exercise models allowed us to evidence a role for MmSCs in transducing exercise-induced mechanical stress into local inflammatory responses. We identified the mechanosensitive ion channel Piezo1 as the molecular sensor of such mechanical stress. We also demonstrated that mechanosensing by stromal cells is necessary for appropriately timed inflammatory and myogenic responses to acute muscle injury and is associated with age-related muscle inflammation. Taken together, these findings highlight recognition of altered tissue stiffness by the Piezo1:MmSC pair as a fundamental mechanism of stress-induced immunomodulation in skeletal muscle.
Published in
Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammaging
Langston PK, Vijaya Raghavan J, Benoist C et al. · Nature immunology 2026 · PMID 41775886 · doi:10.1038/s41590-026-02435-4
This dataset
Open GSE297515 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 GSE297515_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 PRJNA1265126 and SRA study SRP586474. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41775886) ↗
Study design
29 conditions, mostly in triplicate
Piezo1_WT_SKM_d1# ×4 Piezo1_KO_SKM_d1# ×4 Piezo1_WT_CTX_d0_Liver# ×4 Piezo1_FL_CTX_d0_Liver# ×4 WT_sed# ×3 WT_exe# ×3 Pdgfra.CRE_Piezo1.WT_SED# ×3 Pdgfra.CRE_Piezo1.WT_AEXd1# ×3 +21 more

Supports a between-group comparison across 90 samples.

How we read this: 29 replicated groups read from 90 sample titles; they account for 90 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

+ 50 more — browse all 90 samples with per-sample file links →

Datasets on a similar topic

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