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CTCF-binding sites demarcate chromatin domains enriched with H3K9me2 or H3K9me3 and restrict the spreading of these histone modifications in human cells

GSE298130 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/04/26 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 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
18 samples
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
CTCF-Binding Sites Demarcate Chromatin Domains Enriched With Histone H3K9me2 or H3K9me3 and Restrict the Spreading of These Modifications in Human CellsFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
Summary (written by the submitters)
CTCF-binding sites are frequently found at the boundaries of chromatin domains enriched with specific histone modifications in vertebrate genomes, where they function as barriers that limit the spreading of these modifications. However, the role of CTCF-binding sites in chromatin domains marked by H3K9me2 or H3K9me3 remains poorly understood.
Read the full summary ↓
In this study, we analyzed CTCF-binding sites and the distribution of H3K9me2 and H3K9me3 around these sites in human K562 cells, and investigated the spreading of these modifications following CTCF depletion. Genome-wide analysis revealed that certain CTCF-binding sites are located at the boundaries of chromatin domains enriched with H3K9me2 or H3K9me3. Upon loss of CTCF binding, both modifications spread to neighboring chromatin at over half of boundaries delimiting highly and distinctly enriched domains. Boundaries where such spreading did not occur (non-spreading boundaries) were flanked by regions with a more active chromatin state compared to those where spreading occurred (spreading boundaries). Gene transcription was significantly reduced in neighboring regions where H3K9me2 or H3K9me3 had spread. Further comprehensive analysis revealed that this transcriptional reduction was specifically associated with the spread of H3K9me2 rather than H3K9me3. These findings suggest that CTCF-binding sites demarcate chromatin domains enriched with H3K9me2 or H3K9me3 and act as barriers to the propagation of these modifications in mammalian cells. Notably, the spread of H3K9me2 appears to play a specific role in transcriptional repression.
Published in
CTCF-Binding Sites Demarcate Chromatin Domains Enriched With Histone H3K9me2 or H3K9me3 and Restrict the Spreading of These Modifications in Human Cells
Shin KJ, Kang J, Kim A · FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2026 · PMID 41482819 · doi:10.1096/fj.202502813R
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 GSE298130_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 PRJNA1268404 and SRA study SRP588131. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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