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H3K27ac and H3K4me3 ChIP-Seq profiling of a human paired left and right atrial cohort of atrial fibrillation and healthy sinus rhythm individuals

GSE227793 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 52 samples Submitted 2026/02/16 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 52 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
Homo sapiens (human)
Samples
52 samples: 51 distinct titles, 1 of them repeatedGroups 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
An epigenomic investigation of atrial fibrillation in a matched left and right atrial human cohortClinical epigenetics · 2026
Summary (written by the submitters)
H3K27ac and H3K4me3 ChIP-Seq profiling was performed on atrial appendages samples from 12 individuals aged over 60 years, either classified as persistent atrial fibrillation (AF) or normal sinus rhythm (SR). For all individuals, careful examination of medical history displayed no indications of hypertension, hypothyroidism or diabetes.
Published in
An epigenomic investigation of atrial fibrillation in a matched left and right atrial human cohort
Rodriguez A, Frost S, Thomas AM et al. · Clinical epigenetics 2026 · PMID 41906156 · doi:10.1186/s13148-026-02076-2
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 GSE227793_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA947086 and SRA study SRP429018. Searching any of these in the dataset finder brings you back here.

Study design
51 distinct titles, 1 of them repeated
left cardiac atrium, sinus rhythm, input, 27,… ×2

How we read this: Read from 52 sample titles: 51 distinct titles with little repetition. 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

+ 12 more — browse all 52 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.