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Epigenetic landscape of synthetic human centromeres: Euchromatic modifications coexist interdependently at CENP-A dense regions and prevent intrusion of other modifications [ChIP-seq]

GSE287042 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 102 samples Submitted 2026/07/08 Platform GPL15520
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 102 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
102 samples: 49 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
Epigenetic landscape of synthetic human centromere core regions: CENP-A assembly and euchromatic modifications interdependently antagonize heterochromatin accumulationNucleic acids research · 2026
Summary (written by the submitters)
Centromere is specialized chromatin structure essential for equal chromosome segregation. Human centromere is organized on a portion of homogeneously repeated DNA sequence, and contains nucleosomes including centromere specific histone H3, CENP-A. Histone modifications around the CENP-A dense region are also thought to have important roles in centromere function.
Read the full summary ↓
Here, we used human artificial chromosome (HAC) technology to create functional centromeric chromatin on a synthetic centromeric repeat DNA sequence that allowed for structural analysis at 2-kb resolution. Analysis using this HAC centromere showed that the CENP-A dense regions are approximately 18–50 kb in size and coexisted with euchromatic histone modifications in a mutually dependent manner. We also find that when DNA replication reduces CENP-A density, a heterochromatin modification H3K9me3 transiently intrudes CENP-A-dense regions, and that both the CENP-A deposition factor HJURP and the histone acetyltransferase KAT7 are important for pushing back this intrusion. The synthetic centromere DNA generated in this study is more effective at elucidating centromere chromatin structure than relying on naturally occurring DNA mutations, allowing for a more precise understanding and manipulation of centromere function.
Published in
Epigenetic landscape of synthetic human centromere core regions: CENP-A assembly and euchromatic modifications interdependently antagonize heterochromatin accumulation
Ohzeki J, Watanabe A, Lee JX et al. · Nucleic acids research 2026 · PMID 42373778 · doi:10.1093/nar/gkag597
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 GSE287042_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 PRJNA1211039 and SRA study SRP557684. Searching any of these in the dataset finder brings you back here.

Study design
49 conditions, mostly in duplicate
ChIP CENPA ×6 ChIP H3K4me2 ×2 ChIP H3K14ac ×2 ChIP H4K8ac ×2 ChIP K4K20me1 ×2 ChIP H3K36me2 ×2 ChIP H3K9me3 ×2 ChIP THYM CENPA ×2 +41 more

Supports a between-group comparison across 102 samples.

How we read this: 49 replicated groups read from 102 sample titles; they account for 102 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

+ 62 more — browse all 102 samples with per-sample file links →

Datasets on a similar topic

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

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