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Allosteric effectors of PRC2 synergise to restrict Polycomb domains spread

GSE278724 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 60 samples Submitted 2026/01/27 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 60 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
60 samples: 41 distinct titles, 8 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
Accessory subunits of PRC2 mimic H3K27me3 to restrict the spread of Polycomb domainsMolecular cell · 2026
Summary (written by the submitters)
Broad chromatin marks are often spread through read-write loops, where chromatin modifiers bind to their products. Polycomb domains are broad repressive chromatin regions in metazoan species, defined by the repressive chromatin mark H3 lysine 27 tri-methyl (H3K27me3) of the Polycomb repressive complex 2 (PRC2). PRC2 is an allosteric enzyme: it switches into a stimulated state by its own H3K27me3 product in a positive feedback loop that maintains Polycomb domains.
Read the full summary ↓
Yet, it is unknown what prevents this PRC2-H3K27me3 positive feedback loop from spreading H3K27me3 indefinitely. Here we show that mutant mouse embryos, defective in the allosteric activation of PRC2 by its accessory subunits, exhibit a homeotic transformation characteristic of a Polycomb gain-of-function. The same mutations in mouse embryonic stem cells lead to a global gain of H3K27me3 and its spread beyond Polycomb domains. Collectively, we show that the allosteric effector activity of PRC2 accessory subunits restricts H3K27me3 deposition and prevents its spread beyond Polycomb domains.
Published in
Accessory subunits of PRC2 mimic H3K27me3 to restrict the spread of Polycomb domains
Agius SC, Boudes M, Healy E et al. · Molecular cell 2026 · PMID 41785858 · doi:10.1016/j.molcel.2026.02.011
This dataset
Open GSE278724 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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 GSE278724_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 PRJNA1168522 and SRA study SRP536672. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41785858) ↗
Study design
41 distinct titles, 8 of them repeated
MUT_16_somites_embryo ×5 WT_16_somites_embryo ×4 WT_12_somites_embryo ×4 WT_13_somites_embryo ×4 WT_14_somites_embryo ×4 MUT_12_somites_embryo ×2 MUT_13_somites_embryo ×2 MUT_14_somites_embryo ×2

How we read this: Read from 60 sample titles: 41 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

+ 20 more — browse all 60 samples with per-sample file links →

Datasets on a similar topic

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