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A novel histone H3K27 reader, CBFA2T2, inhibits H3K27me3 demethylation and tumor growth by regulating metabolic genes and metabolite levels [ChIP-seq II]

GSE277547 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 19 samples Submitted 2026/04/22 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 19 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
Mus musculus (mouse)
Samples
19 samples: 19 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
CBFA2T2: a novel H3K27 reader regulating metabolism and tumor growthMolecular cancer · 2026
Summary (written by the submitters)
Histone H3.1/3.2K27M and H3.3K27M mutation are driver mutations frequently identified in diffuse midline glioma (DMG). However, the precise mechanism by which H3K27M mediates tumorigenesis remains incompletely understood. By carrying out bait Protein-Protein Interaction followed by genome-wide screening (bPPI-seq) in H3.3WT and H3.3K27M mouse NSC models, we identified a novel histone reader CBFA2T2, which recognizes non-mutated or un-modified histone H3K27.
Read the full summary ↓
Importantly, CBFA2T2 binding to H3K27, mediated by the NHR2 domain, is abrogated by the H3K27M oncogenic mutation. In H3.3 wildtype cells, CBFA2T2 represses transcription of genes involved in carbon metabolism and TCA cycle through its binding to H3K27. This alters the α-KG/Succinate (alpha-ketoglutarate/ Succinate) ratio and indirectly impacts H3K27me3 level, possibly through affecting the H3K27me3 demethylases. CBFA2T2 does not bind the H3.3K27M decorated chromatin in vivo, thus the K to M mutation, partially compromises the CBFA2T2 repressive function. However, over-expressing CBFA2T2 rescues the low H3K27me3 level in H3.3K27M mNSC and H3.3K27M DIPG cells, thus suppressing the H3.3K27M tumor growth. Our findings suggest a new mechanism, which may contribute to the low H3K27me3 level observed in the H3K27M cells, and provide a new strategy for H3K27M therapy through manipulation of CBFA2T2.
Published in
CBFA2T2: a novel H3K27 reader regulating metabolism and tumor growth
He S, Ou Y, Jiao F et al. · Molecular cancer 2026 · PMID 41703542 · doi:10.1186/s12943-026-02593-x
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 GSE277547_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 PRJNA1162782 and SRA study SRP533577. Searching any of these in the dataset finder brings you back here.

Study design
19 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 19 sample titles: 19 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
Datasets on a similar topic

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