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Canonical BAF complex orchestrates mesenchymal stem cell niche composition and fate via cofactor-guided chromatin remodeling

GSE314753 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/01/22 Platform GPL24247Platform GPL21103Platform GPL16417
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: 5 conditions, mostly in duplicateGroups 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
Canonical BAF chromatin remodeling complex specifies stem cell fate via cell-type-specific co-factor recruitmentNature communications · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Canonical BAF chromatin remodeling complex specifies stem cell fate via cell-type-specific co-factor recruitment
Zhang M, Feng J, Guo T et al. · Nature communications 2026 · PMID 41771870 · doi:10.1038/s41467-026-70038-6
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 GSE314753_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 PRJNA1392539 and SRA study SRP588899. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
Arid1a ×2 Arid1b ×2 Dlx2 ×2 Foxo1 ×2 Input ×2 DKO (Gli1-CreER;Arid1afl/fl;Arid1bfl/fl)_scRN… ×1 DKO (Gli1-CreER;Arid1afl/fl;Arid1bfl/fl)_scAT… ×1 DKO 1 (Gli1-CreER;Arid1afl/fl;Arid1bfl/fl)_RN… ×1 +5 more

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 18 sample titles; they account for 10 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
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