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Mitochondrial remodeling in skeletal muscle underlies exercise-induced reversal of age-associated functional decline in mice and humans

GSE325919 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/03/30 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 30 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
Mitochondrial remodeling in skeletal muscle underlies exercise-induced reversal of age-associated functional decline in mice and humansProceedings of the National Academy of Sciences of the United States of America · 2026
Summary (written by the submitters)
RNA-seq experiment to investigate the effect of training on muscle tissue in WT C57BL/6J and G6PD-tg mice. The goal of the study is to assess differential gene expression related to genotype and training status.
Published in
Mitochondrial remodeling in skeletal muscle underlies exercise-induced reversal of age-associated functional decline in mice and humans
García-Domínguez E, García-Domínguez C, Cabrera-Alarcón JL et al. · Proceedings of the National Academy of Sciences of the United States of America 2026 · PMID 41911459 · doi:10.1073/pnas.2508286123
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 GSE325919_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: 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 PRJNA1442422 and SRA study SRP686459. Searching any of these in the dataset finder brings you back here.

Study design
30 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 30 sample titles: 30 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
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.