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Histone H4 lysine 20 tri-methylation safeguards breast cancer lineage fidelity and unfolded protein response [ChIP-seq/ATAC-seq]

GSE289805 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 126 samples Submitted 2026/04/26 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 126 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
126 samples: 62 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.
Summary (written by the submitters)
Triple-negative breast cancer (TNBC) is a breast cancer subtype with worse prognosis and limited therapeutic options, partly due to significant epigenetic heterogeneity both within and between tumors. We previously reported that histone H4 lysine 20 trimethylation (H4K20me3) is the most variable histone modification in TNBC. H4K20me3 showed an opposing genomic distribution to other H4 acetylations and was essential for histone integration with a subset of distal intergenic genomic regions.
Read the full summary ↓
Unlike H3K9me3, H4K20me3 exhibited greater heterogeneity across tumors and normal mammary glands. Regions uniquely enriched for H4K20me3 have higher epigenetic and transcriptional activity. Inhibition of the H4K20me3 methyltransferase, KMT5B/5C using A-196 led to substantial H4K20me3 loss and H4K20me1 gain at regions associated with lineage-specificity, stress response, and cell cycle regulation. A-196 treatment moderately suppressed tumor growth in vivo, inducing mesenchymal transition and unfolded protein response (UPR) in cancer cells, and increased proinflammatory macrophage infiltration into the tumor microenvironment. Integrated multi-omic analysis revealed that mesenchymal TNBCs, with the lowest H4K20me3 levels, have more active chromatin at UPR genes and stronger responses to ER stress inducers. Consistently, KMT5B/5C inhibition in basal TNBC induced mesenchymal-like features, heightened ER stress response and the associated cell proliferative suppression through increased G1 arrest, driven by the de novo recruitment of the transcriptional repressor E2F4. Combining A-196 with the HSP90 inhibitor 17AAG synergistically reduced TNBC tumor growth. Overall, our study identifies H4K20me3 as a facultative heterochromatin mark regulating lineage identity and UPR in TNBC, offering novel epigenetic therapeutic strategies targeting KMT5B/5C.
This dataset
Open GSE289805 in finder → Find more human 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 GSE289805_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 PRJNA1224835 and SRA study SRP564448. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
62 conditions, mostly in duplicate
MDAMB468_Input ×2 MDAMB468_H4K5ac ×2 MDAMB468_H4K8ac ×2 MDAMB468_H4K12ac ×2 MDAMB468_H4K16ac ×2 MDAMB468_H4K20me1 ×2 MDAMB468_H4K20me3 ×2 MDAMB231_WT_H4_Input ×2 +56 more

Supports a between-group comparison across 124 samples.

How we read this: 62 replicated groups read from 126 sample titles; they account for 124 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

+ 86 more — browse all 126 samples with per-sample file links →

More Breast cancer datasets

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

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