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Molecular and epistatic interactions between pioneer transcription factors shape nucleosome dynamics and cell differentiation [MNase-seq]

GSE268717 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2025/11/13 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 18 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
18 samples: 6 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
Molecular and epistatic interactions between pioneer transcription factors shape nucleosome dynamics and cell differentiationNature communications · 2025
Summary (written by the submitters)
Pioneer transcription factors (TF) bind nucleosome-embedded DNA motifs to activate new regulatory elements and promote differentiation. However, the complexity, binding dependencies and temporal effects of their action remain unclear. Here, we dissect how ectopic induction of the pioneer TF GATA6 triggers Primitive Endoderm (PrE) differentiation from pluripotent cells.
Read the full summary ↓
We show that transient GATA6 binding exploits accessible regions to decommission enhancers and promote pluripotency gene silencing. Simultaneously, GATA6 targets closed chromatin and initiates extensive remodeling culminating in the establishment of fragile nucleosomes flanked by ordered nucleosome arrays and increased accessibility. This is enhanced by rapidly expressed PrE TFs (SOX17) and by pluripotency TFs repurposed for differentiation (OCT4/SOX2). Accordingly, depletion of OCT4 during GATA6 induction decreases Gata6 expression, alters GATA6 and SOX17 binding and impairs differentiation. Therefore, pioneer TFs orchestrate complex regulatory networks involving many if not all available pioneer TFs, including those required to support the original identity of differentiating cells.
Published in
Molecular and epistatic interactions between pioneer transcription factors shape nucleosome dynamics and cell differentiation
Coux RX, Dubois A, Chervova A et al. · Nature communications 2025 · PMID 41372234 · doi:10.1038/s41467-025-67308-0
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 GSE268717_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 PRJNA1118314 and SRA study SRP510886. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
mnase_d0 ×3 mnase_d008 ×3 mnase_d016 ×3 mnase_d1 ×3 mnase_d2 ×3 mnase_d4 ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

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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.