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Aldosterone stimulation of fibroblasts affects gene expression and function relevant to muscle injury and disease

GSE297237 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/01/21 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 6 conditions, mostly in duplicateGroups 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
Intercellular communication from myotubes to fibroblasts is differentially impacted by mineralocorticoid receptor signaling and muscular dystrophyCell communication and signaling : CCS · 2025
Summary (written by the submitters)
Here, we report the RNA sequencing of fibroblasts isolated from wild-type (C57BL/10) neonatal hindlimb skeletal muscle. The fibroblasts were directly treated with the MR agonist aldosterone, the MR antagonist spironolactone, or vehicle control (DMSO). We find that aldosterone treatment increased expression of genes involved in fibrosis, muscle function, and metabolism, and that aldosterone treatment decreased expression of genes involved in cell migration and cytokine receptor binding.
Read the full summary ↓
This data suggests that MR signaling can directly affect fibroblasts and contribute to pathology in skeletal muscle.
Published in
Intercellular communication from myotubes to fibroblasts is differentially impacted by mineralocorticoid receptor signaling and muscular dystrophy
Krishna S, Gomatam CK, Reddy R et al. · Cell communication and signaling : CCS 2025 · PMID 41286972 · doi:10.1186/s12964-025-02515-2
This dataset
Open GSE297237 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 GSE297237_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 PRJNA1263376 and SRA study SRP585503. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41286972) ↗
Study design
6 conditions, mostly in duplicate
fibroblasts, vehicle sample 1, biol ×2 fibroblasts, vehicle sample 2, biol ×2 fibroblasts, aldosterone sample 1, biol ×2 fibroblasts, aldosterone sample 2, biol ×2 fibroblasts, spironolactone sample 1, biol ×2 fibroblasts, spironolactone sample 2, biol ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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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