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Histone acetylation-dependent clustering of BRD2 instructs transcription dynamics

GSE271982 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 168 samples Submitted 2026/02/24 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 168 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
168 samples: 48 conditions, mostly in triplicateGroups 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
Histone acetylation-dependent clustering of BRD2 instructs transcription dynamicsNature genetics · 2026
Summary (written by the submitters)
Bromodomain (BD) and extra-terminal domain (BET) proteins are key regulators of RNA polymerase II (Pol II)-mediated transcription and their BDs represent promising drug targets. Yet, the interplay between histone acetylation and the chromatin dynamics of individual BET proteins with respect to transcriptional regulation is not fully understood.
Read the full summary ↓
Here in mouse embryonic stem cells, we uncover an essential role of BRD2 in maintaining RNA Pol II recruitment at promoters through its interaction with TFIID, which becomes particularly critical under the conditions of impaired pause release. Combining rapid protein degradation, chemogenomics and super-resolution microscopy, we show that MOF-mediated histone H4 acetylation promotes BRD2 chromatin association, which in turn enables BRD2 clustering. Accordingly, MOF depletion or deletion of the BRD2’s intrinsically disordered region largely recapitulates defects in promoter enrichment and clustering of the transcription machinery observed upon BRD2 loss. Thus, these findings support a model in which histone acetylation-dependent spatiotemporal dynamics of BRD2 coordinate the transcription machinery to regulate transcription initiation.
Published in
Histone acetylation-dependent clustering of BRD2 instructs transcription dynamics
Erdogdu NU, Guhathakurta S, Oellers R et al. · Nature genetics 2026 · PMID 41957181 · doi:10.1038/s41588-026-02533-x
This dataset
Open GSE271982 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 GSE271982_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 PRJNA1134240 and SRA study SRP519183. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41957181) ↗
Study design
48 conditions, mostly in triplicate
Control_timecourse_totalRNA ×4 Auxin3h_timecourse_totalRNA ×4 Auxin45min_timecourse_totalRNA ×4 Auxin90min_timecourse_totalRNA ×4 Control_Input_for_H4ac-ChIP ×3 Auxin_Input_for_H4ac-ChIP ×3 Control_IP_for_H4K5ac-ChIP ×3 Auxin_IP_for_H4K5ac-ChIP ×3 +68 more

Supports a between-group comparison across 140 samples.

How we read this: 48 replicated groups read from 168 sample titles; they account for 140 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

+ 128 more — browse all 168 samples with per-sample file links →

Datasets on a similar topic

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