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Combined inhibition of KAT6A/B and Menin reverses estrogen receptor-driven gene expression programs in breast cancer (ChIP-Seq)

GSE264726 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 69 samples Submitted 2025/04/30 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 69 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
69 samples: 69 samples, each with a distinct title — no replicated groupsGroups 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
Combined inhibition of KAT6A/B and Menin reverses estrogen receptor-driven gene expression programs in breast cancerCell reports. Medicine · 2025
Summary (written by the submitters)
KAT6A is a histone acetyltransferase that is emerging as a therapeutic target in cancer, including estrogen receptor positive (ER+) breast cancer. We performed CRISPR screens to identify the chromatin adaptor Menin as a regulator of KAT6A inhibitor response. Co-treatment with KAT6A/B and Menin inhibitors had synergistic anti-proliferative effects in ER+, but not ER-, breast cancer lines.
Read the full summary ↓
Our data revealed that KAT6A and Menin cooperatively regulate ER-driven gene expression and chromatin accessibility via direct effects on ESR1 expression and at ER target genes. KAT6A and Menin co-localize at promoters of ESR1 and ER-driven genes and combined KAT6A/B and Menin inhibition selectively displaced RNA Pol II from chromatin at these loci. Combined KAT6A/B and Menin inhibition was effective in ER+ patient-derived organoids and in models of endocrine resistance. KAT6A/B and Menin inhibitors are currently in clinical trials and have shown manageable toxicity profiles, underscoring the potential therapeutic relevance for ER+ breast cancer.
Published in
Combined inhibition of KAT6A/B and Menin reverses estrogen receptor-driven gene expression programs in breast cancer
Olsen SN, Anderson B, Hatton C et al. · Cell reports. Medicine 2025 · PMID 40516531 · doi:10.1016/j.xcrm.2025.102192
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 GSE264726_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 PRJNA1103854 and SRA study SRP503672. Searching any of these in the dataset finder brings you back here.

Study design
69 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 69 sample titles: 69 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

+ 29 more — browse all 69 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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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.