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Chromatin Remodelers in Cardiometabolic Heart Failure with Preserved Ejection Fraction

GSE289265 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/06/05 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × SET7KO-HFD vs 4 × B6-HFD vs 4 × B6-ND vs 4 × SET7KOGroups 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
Chromatin Rewiring by SETD2 Drives Lipotoxic Injury in Cardiometabolic HFpEFCirculation research · 2025
Summary (written by the submitters)
Cardiometabolic heart failure with preserved ejection fraction (cHFpEF) is highly prevalent and associated with a poor outcome. Pathological gene expressions in heart failure are accompanied by changes in active histone marks without major alterations in DNA methylation. Whether chromatin modifications participate to obesity-induced HFpEF is largely unknown. We will investigate whether chromatin marks participate to obesity-induced HFpEF in vivo.
Published in
Chromatin Rewiring by SETD2 Drives Lipotoxic Injury in Cardiometabolic HFpEF
Costantino S, Mohammed SA, Ambrosini S et al. · Circulation research 2025 · PMID 40211947 · doi:10.1161/CIRCRESAHA.124.325310
This dataset
Open GSE289265 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 GSE289265_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 PRJNA1222300 and SRA study SRP563160. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40211947) ↗
Study design
4 × SET7KO-HFD vs 4 × B6-HFD vs 4 × B6-ND vs 4 × SET7KO

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
Datasets on a similar topic

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