Exercise Metabolic Memory Halts Pathological Cardiac Hypertrophy via PDK4
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 5 × Sedentary vs 5 × EHPGroups 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
- Exercise Metabolic Memory Halts Pathological Cardiac Hypertrophy via PDK4Circulation research · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE315915_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1399932 and SRA study SRP660641. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM9439822 Sedentary 1 Sedentary
- GSM9439823 Sedentary 2 Sedentary
- GSM9439824 Sedentary 3 Sedentary
- GSM9439825 Sedentary 4 Sedentary
- GSM9439826 Sedentary 5 Sedentary
- GSM9439827 EHP 1 EHP
- GSM9439828 EHP 2 EHP
- GSM9439829 EHP 3 EHP
- GSM9439830 EHP 4 EHP
- GSM9439831 EHP 5 EHP
- GSE261561 Contribution of VEGF-B-induced endocardial endothelial cell lineage in physiological versus pathological cardiac hypertrophy. 12 samples shares pathological, hypertrophy, cardiac
- GSE307584 Aberrant Upregulation of Histamine N-Methyltransferase Exacerbates Pathological Cardiac Hypertrophy and Heart Failure via Disruption of SAM/Frizzled-2/ CaMKII Signaling Pathway [RNA-seq] 12 samples shares pathological, hypertrophy, cardiac
- GSE304791 SPOP is a key trigger of pathological cardiac hypertrophy and heart failure 10 samples shares pathological, hypertrophy, cardiac
- GSE243527 RNA‑seq profiling of mRNA associated with aged related Pathological cardiac hypertrophy 6 samples shares pathological, hypertrophy, cardiac
- GSE314005 TRIM40 Drives Pathological Cardiac Hypertrophy and Heart Failure through PKN2 Ubiquitination 6 samples shares pathological, hypertrophy, cardiac
- GSE210985 Analysis of cardiac-enriched lncRNA CARDINAL in TAC induced hypertrophy 32 samples shares hypertrophy, cardiac
- GSE319401 Exercise Mitigates Cardiac Dysfunction Post-MI in Ovariectomized Mice via miR-21/Sox7-Mediated Suppression of Cardiac Fibroblast Activation 24 samples shares exercise, cardiac
- GSE302867 Cardiac adaptation to endurance exercise training requires suppression of GDF15 via PGC-1α 20 samples shares exercise, cardiac
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.