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Endurance training promotes chromatin closure and timely repression of the post-exercise immediate early stress response [RNA-Seq]

GSE302911 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/08/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 7 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
Endurance training promotes chromatin closure and timely repression of the post-exercise immediate early stress responseMolecular metabolism · 2025
Summary (written by the submitters)
Objective: Endurance training is known to elicit numerous changes in skeletal muscle to enhance performance and function. Many of these adaptations are controlled by the modulation of transcriptional programs in myonuclei. While previous studies have explored alterations in DNA methylation and histone modifications in response to exercise, the specific changes in chromatin restructuring and accessibility, a prerequisite for transcription, are still poorly understood.
Read the full summary ↓
Methods: A multi-omics analysis was performed: ATAC-sequencing was used to map chromatin accessibility in myonuclei isolated from endurance-trained and untrained mice at multiple time points (0h, 6h, and 72h) post-exercise. Gene expression was assessed via RNA-sequencing, and motif activity analysis identified regulatory factors involved in exercise-induced chromatin remodeling and transcriptomic response. Results: Endurance training amplified rapid chromatin closing immediately after exercise, with trained muscle exhibiting a more pronounced loss of chromatin accessibility at 0h and 6h post-exercise compared to untrained muscle. These chromatin accessibility changes persisted longer in trained muscle, with significant retention until 72h post-exercise. Immediate early transcription factors, such as Fos and Jun, showed a training state-dependent shift in activation dynamics. Similarly, specific modulation of genes involved in metabolism, insulin response and angiogenesis was observed. Conclusions: Endurance training triggers rapid and persistent chromatin remodeling in muscle, contributing to the transcriptional response to exercise. Our findings suggest that training induces long-lasting epigenetic changes, potentially underpinning muscle memory and improved physiological resilience. These new insights into the molecular mechanisms of muscle adaptation help to understand the training response, and might become relevant in disease prevention.
Published in
Endurance training promotes chromatin closure and timely repression of the post-exercise immediate early stress response
de Smalen LM, Adak V, Leuchtmann AB et al. · Molecular metabolism 2025 · PMID 40623475 · doi:10.1016/j.molmet.2025.102206
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 GSE302911_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 PRJNA1292807 and SRA study SRP601560. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in triplicate
muscle, sedentary, ×3 muscle, untrained, 0h post exercise, ×3 muscle, untrained, 6h post exercise, ×3 muscle, untrained, 72h post exercise, ×3 muscle, trained, 0h post exercise, ×3 muscle, trained, 6h post exercise, ×3 muscle, trained, 72h post exercise, ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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
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