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H2BE113K mutation promotes breast cancer metastasis through modulating chromatin dynamics

GSE295336 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 77 samples Submitted 2026/05/20 Platform GPL24676Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 77 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)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
77 samples: 76 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
H2BE113K mutation promotes breast cancer metastasis through modulating chromatin dynamicsScience advances · 2026
Summary (written by the submitters)
Cancer progression is driven by the accumulation of DNA mutations and aberrant gene regulation. Recent studies have demonstrated that multiple mutations in genes encoding histone H3 serve as drivers of tumorigenesis. However, the role and significance of various cancer-associated histone H2B mutations in cancer development remain largely unknown.
Read the full summary ↓
Here, we investigate H2BE113K, a missense mutation of histone H2B predominantly found in breast cancer patients. Using MDA-MB-231 cells knockin with H2BE113K, we show that H2BE113K promotes colony formation in breast cancer. Of note, transcriptomic analysis reveals differential expression of genes in various cancer pathways in H2BE113K mutant cells. Intriguingly, the loci with elevated gene expression display increased chromatin accessibility and accompany with the enrichment of E113K mutant H2B. Importantly, the depletion of G3BP2, one of the H2BE113K target genes that has been implicated in breast cancer, reduces the colony formation phenotype in H2BE113K mutant cells. In addition, MMTV-PyMT breast cancer model crossbred with our H2BE113K knock-in mice results in elevated lung metastasis. Together, our findings provide critical insights in the mechanistic role of H2BE113K in gene regulation, chromatin function and breast cancer progression.
Published in
H2BE113K mutation promotes breast cancer metastasis through modulating chromatin dynamics
Hu 胡诗曼 S, Liu J, Zhou J et al. · Science advances 2026 · PMID 42430466 · doi:10.1126/sciadv.adx4982
This dataset
Open GSE295336 in finder → Find more ChIP / ATAC / CUT&Tag datasets → Breast cancer landscape →
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.

Series matrix ↓
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 GSE295336_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1254226 and SRA study SRP580537. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42430466) ↗
Study design
76 distinct titles, 1 of them repeated
4e-Flag-E113K ×2

How we read this: Read from 77 sample titles: 76 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

+ 37 more — browse all 77 samples with per-sample file links →

More Breast cancer datasets

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

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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.