← BioTransfer GEO Dataset Finder
GEO series

Histone succinylation directly inhibits Jumonji domain demethylases and stabilizes repressive chromatin states [CUT&Tag]

GSE331259 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2026/05/22 Platform GPL34281
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
12 samples: 2 × HepG2/C3A cells, control, 48h treatment, pan-Ksu enrichment biol vs 2 × HepG2/C3A cells, control, 48h treatment, IgG enrichment, biol vs 2 × HepG2/C3A cells, 10 mM sodium succinate, 48h treatment, pan-Ksu enrichment biol vs 2 × HepG2/C3A cells, 10 mM sodium succinate, 48h treatment, IgG enrichment, biolGroups 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.
Summary (written by the submitters)
We investigate the relationship between histone succinylation and Jumonji C (JmjC) domain-containing histone demethylases, a class of enzymes that catalyzes the removal of histone methylation. By using quantitative proteomics and peptide pull-down assays, we identified Jumonji demethylases as candidate interactors of succinylated histone peptides.
Read the full summary ↓
Biochemical assays demonstrate that succinylated histone peptides bind and inhibit the demethylase activity of KDM4D and KDM6B in a dose-dependent manner. Notably, these two demethylases are responsible for the removal of the silencing marks H3K9me2/3 and H3K27me2/3. We increased histone succinylation in a HepG2/C3A cell model by providing supraphysiological sodium succinate and demonstrated that H3K9me2/3 and H3K27me2/3 increased in relative abundance as well. CUT&Tag and ChIP–mass spectrometry revealed co-occurrence of succinylation with repressive methylation marks, together with reduced levels of transcribed RNA. Altogether, these findings support a model in which histone succinylation contributes to maintaining the silencing marks H3K9me2/3 and H3K27me2/3 on chromatin by locally inhibiting Jumonji domain demethylases. This work establishes a mechanistic link between metabolic state and chromatin regulation and suggests a role for histone succinylation in the maintenance of heterochromatin.
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 GSE331259_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 PRJNA1467574 and SRA study SRP701624. Searching any of these in the dataset finder brings you back here.

Study design
2 × HepG2/C3A cells, control, 48h treatment, pan-Ksu enrichment biol vs 2 × HepG2/C3A cells, control, 48h treatment, IgG enrichment, biol vs 2 × HepG2/C3A cells, 10 mM sodium succinate, 48h treatment, pan-Ksu enrichment biol vs 2 × HepG2/C3A cells, 10 mM sodium succinate, 48h treatment, IgG enrichment, biol

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 8 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
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.