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Exercise Mitigates Cardiac Dysfunction Post-MI in Ovariectomized Mice via miR-21/Sox7-Mediated Suppression of Cardiac Fibroblast Activation

GSE319401 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/06/01 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 6 × MEC vs 6 × MES vs 6 × MOC vs 6 × MOSGroups 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.
Summary (written by the submitters)
Background: Postmenopausal women have higher risks of myocardial infarction (MI) and subsequent cardiac dysfunction. Exercise is widely recognized to protect the cardiovascular system, but its molecular mechanisms in postmenopausal MI remain not fully understood. This study explored the effects and mechanism of swimming exercise against cardiac dysfunction in ovariectomized (OVX) mice post-MI.
Read the full summary ↓
Methods: OVX mice were subjected to a 3-week swimming training before MI induction via permanent ligation of left anterior descending artery. Cardiac systolic function was evaluated by echocardiography. Masson, HE, WGA staining, RT-qPCR, and Western blotting were combined to detect the extent of cardiomyocyte hypertrophy, myocardial fibrosis, and apoptosis. To explore the key exercise-effectors, we detected microRNAs (miR-21, miR-146a, miR-155) in serum samples of elderly post-MI women subsequent to exercise rehabilitation training. miR-21 expression was further investigated in heart sample of OVX plus MI mice. The role of miR-21 in vivo was elucidated through miR-21 knockout mice model and AAV9-mediated miR-21 overexpression mice model. The function of miR-21 in vitro were evaluated in cardiac fibroblasts isolated from OVX mice and treated with TGF-β to induce its activation. miR-21 targets were revealed by microarray analysis and verified by luciferase reporter and functional rescue assays. Results: Swimming significantly improved cardiac function in OVX mice post-MI, alleviated cardiomyocyte hypertrophy, reduced myocardial fibrosis, and inhibited apoptosis. miR-21 expression was downregulated by exercise training both in heart of OVX mice post-MI and in serum of elderly women after MI. miR-21 knockout mimicked swimming’s cardioprotective effects towards OVX mice post-MI, while miR-21 overexpression abolished these effects. The overexpression of miR-21 promoted the TGF-β-induced differentiation of cardiac fibroblasts into myofibroblasts and their proliferation, whereas its inhibition blocked TGF-β’s pro-fibrotic role. Microarray analysis and luciferase assays identified Sox7 as a direct miR-21 target, and Sox7 knockdown reversed anti-fibrotic effect of inhibiting miR-21. Conclusion: Swimming protects against post-MI cardiac dysfunction in OVX mice by downregulating myocardial miR-21, thereby upregulating its target gene Sox7 and inhibiting cardiac fibroblast activation. miR-21 and its downstream target Sox7 contributes to cardioprotective effects of swimming, offering a potential target for postmenopausal MI treatment.
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 GSE319401_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 PRJNA1423242 and SRA study SRP676829. Searching any of these in the dataset finder brings you back here.

Study design
6 × MEC vs 6 × MES vs 6 × MOC vs 6 × MOS

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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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