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Acute intervention reveals critical roles of BAF, KMT2D and p300 in MyoD binding on enhancers

GSE290849 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 143 samples Submitted 2026/03/10 Platform GPL30172Platform GPL24247Platform GPL34328
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 143 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
143 samples: 138 distinct titles, 5 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
Chromatin modifiers KMT2D, BAF, and p300 are required for de novo binding of transcription factors on enhancersbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Previous studies using constitutive expression of transcription factors (TFs) and genetic knockout of cofactors have revealed important roles of chromatin remodeler BAF, H3K4me1 methyltransferase KMT2D, and H3K27 acetyltransferase p300 in enhancer regulation. However, binding dynamics of these cofactors and TFs on enhancers remain unclear.
Read the full summary ↓
Here we show that within one hour of its nuclear translocation, the master myogenic TF MyoD is co-localized with BAF, KMT2D, and p300 on over half of MyoD+ enhancers. Acute depletion of KMT2D protein disrupts de novo binding of MyoD, BAF, and p300 on enhancers. Short-term inhibition of BAF or p300 enzymatic activity dramatically reduces de novo binding of MyoD, BAF, KMT2D, and p300 on enhancers. Together, these results highlight the interdependency of MyoD and chromatin regulators BAF, KMT2D and p300 in their binding to enhancers. Our data also suggest that p300 may hold a more prevailing role than previously reported.
Published in
Chromatin modifiers KMT2D, BAF, and p300 are required for de novo binding of transcription factors on enhancers
Van HT, Park YK, Liu C et al. · bioRxiv : the preprint server for biology 2026 · PMID 41659470 · doi:10.64898/2026.01.29.702555
This dataset
Open GSE290849 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 GSE290849_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 PRJNA1230234 and SRA study SRP567150. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41659470) ↗
Study design
138 distinct titles, 5 of them repeated
NasRNA_Mll4-AID_MyoD-ER-WT_ETOH ×2 NasRNA_Mll4-AID_MyoD-ER-WT_4OHT_1h ×2 NasRNA_Mll4-AID_MyoD-ER-WT_4OHT_4h ×2 NasRNA_Mll4-AID_MyoD-ER-WT_4OHT_9h ×2 NasRNA_Mll4-AID_MyoD-ER-WT_4OHT_24h ×2

How we read this: Read from 143 sample titles: 138 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

+ 103 more — browse all 143 samples with per-sample file links →

Datasets on a similar topic

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