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Beneficial Effects of High Intensity Interval Training in a Mouse Model of Hypertrophic Cardiomyopathy

GSE297707 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2025/05/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 samples: 8 conditions, mostly with about 8 replicates eachGroups 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)
High intensity exercise (HIE) has become a prominent training modality used to ameliorate cardiac disease conditions. The effects of HIE training on Hypertrophic Cardiomyopathy (HCM) have not been previously studied in animal models or in patients, largely due to concerns about triggering sudden arrhythmic events.
Read the full summary ↓
Employing a transgenic cardiac troponin (cTnT-160E or TG) preclinical murine model that closely recapitulates human HCM, we evaluated the effects of a High Intensity Interval Training (HIIT) protocol on cardiorespiratory capacity (i.e., peak oxygen consumption or pVO2), which is a significant prognostic indicator of disease trajectory. 14 month old TG male mice had lower peak VO2 than non-transgenic (NTG) male mice of the same age at baseline, but there was no difference in pVO2 in female TG compared to nTG mice. HIIT significantly improved pVO2 in both nTG female (18%) , nTG male (18%), TG female (16%) and TG male (12%) mice compared to sedentary controls. There were no changes in structure, function or LV mass as measured by echocardiography or post mortem analyses in any of the groups, and no effect of HIIT on cardiac fibrosis. HIIT led to significant increases in lean muscle mass in both nTG and TG male mice, and nTG female mice but not TG female mice. The results of our study provide foundational evidence that HIE can improve pVO2 in HCM without adverse effects on disease phenotype.
This dataset
Open GSE297707 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 GSE297707_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 PRJNA1265749 and SRA study SRP586675. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 8 replicates each
C57BL/6J/mice, nTG, HIIT, F, ×10 C57BL/6J/mice, TG, Sed, M, ×9 C57BL/6J/mice, nTG, HIIT, M, ×8 C57BL/6J/mice, TG, HIIT, M, ×8 C57BL/6J/mice, nTG, Sed, F, ×8 C57BL/6J/mice, TG, Sed, F, ×8 C57BL/6J/mice, nTG, Sed, M, ×7 C57BL/6J/mice, TG, HIIT, F, ×6

Supports a between-group comparison across 64 samples.

How we read this: 8 replicated groups read from 64 sample titles; they account for 64 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

+ 24 more — browse all 64 samples with per-sample file links →

Datasets on a similar topic

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