← BioTransfer GEO Dataset Finder
GEO series

Cardiac Radiotherapy-Induced Epigenetic Memory Underlies Electrophysiologic and Metabolic Reprogramming [ATAC-seq]

GSE291268 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 50 samples Submitted 2026/01/28 Platform GPL24247Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 50 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
50 samples: 17 conditions, mostly in duplicateGroups 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
Cardiac radiotherapy-induced epigenetic memory underlies electrophysiologic and metabolic reprogrammingThe Journal of clinical investigation · 2026
Summary (written by the submitters)
Stereotactic arrhythmia radiotherapy (STAR) is emerging as a highly effective treatment for ventricular tachycardia (VT). Growing evidence indicates that STAR favorably reprograms the electrical substrate via modulating ion channel expression, though the mechanisms whereby single-fraction radiation mediates durable changes in gene expression are incompletely understood.
Read the full summary ↓
The DNA damage response (DDR) recruits epigenetic regulators during the repair process after irradiation (IR). Here, we demonstrate acute changes in the cardiomyocyte epigenome and transcriptome after IR in vivo and in vitro. A subset of changes persist as late as 6 weeks post-IR in mice, including increased Scn5a expression and chromatin accessibility (encoding the alpha subunit of the sodium channel, NaV1.5), demonstrating a role for epigenetic memory in conduction velocity increases observed after STAR. Transcriptomic and epigenetic sequencing further identify dynamic changes to gene expression and regulatory regions involved in cellular repolarization, calcium handling, and metabolism after IR. Gene expression changes are mirrored by dose-dependent and cell-autonomous changes in repolarization, calcium flux, and mitochondrial respiration after IR, highlighting important cellular processes which may mediate both therapeutic and toxic effects of STAR. Overall, we find that cardiomyocytes exposed to a single fraction of high-dose IR exhibit epigenetic reprogramming that mediates broad and dynamic physiologic responses.
Published in
Cardiac radiotherapy-induced epigenetic memory underlies electrophysiologic and metabolic reprogramming
Jordan SD, Fu S, Fulkerson A et al. · The Journal of clinical investigation 2026 · PMID 41701534 · doi:10.1172/JCI193087
This dataset
Open GSE291268 in finder → Find more ChIP / ATAC / CUT&Tag 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 GSE291268_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1232693 and SRA study SRP568424. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41701534) ↗
Study design
17 conditions, mostly in duplicate
CD1 mouse, sham, male, biol ×7 CD1 mouse, ir6wk, male, biol ×5 hiPSC-cardiomyocyte, iCell, sham, day7, biol ×4 hiPSC-cardiomyocyte, iCell, sham, day14, biol ×3 hiPSC-cardiomyocyte, GCaMP, sham, day14, biol ×3 hiPSC-cardiomyocyte, GCaMP, 25 Gy, day28, biol ×3 hiPSC-cardiomyocyte, GCaMP, 25 Gy, day14, biol ×3 CD1 mouse, ir2day, male, biol ×2 +11 more

Supports a between-group comparison across 48 samples.

How we read this: 17 replicated groups read from 50 sample titles; they account for 48 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

+ 10 more — browse all 50 samples with per-sample file links →

Datasets on a similar topic

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.