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Genome-wide profiling of histone modification H3K27ac and CTCF transcription factor binding following VPA treatment in HEK293 cells

GSE246314 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/02/02 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
Image-based epigenetic profiling with deep learning and high-speed super-resolution microscopyEpigenetics & chromatin · 2026
Summary (written by the submitters)
Valproic acid (VPA), a histone deacetylase (HDAC) inhibitor induces epigenetic changes through histone hyperacetylation which lead to alteration to H3K27ac and CTCF binding in the genome. To determine the effects of VPA on 3D chromatin organization, we performed ChIP-seq on untreated and VPA-treated HEK293T cells. VPA treatment results in elevated H3K27ac marks and slightly reduced CTCF binding, which supports the evidence of active transcription triggered upon histone hyperacetylation induced by VPA.
Published in
Image-based epigenetic profiling with deep learning and high-speed super-resolution microscopy
Wang Y, Ab Ghani NS, Dutta M et al. · Epigenetics & chromatin 2026 · PMID 41764479 · doi:10.1186/s13072-026-00662-5
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 GSE246314_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 PRJNA1032540 and SRA study SRP468623. 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 →

Datasets on a similar topic

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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.