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Base pair resolution chromosome conformation capture reveals mechanistic insights into the nature of chromatin structure [ChIP-seq]

GSE307191 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2025/11/26 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 20 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
20 samples: 20 samples, each with a distinct title — no replicated groupsGroups 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
Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactionsCell · 2025
Summary (written by the submitters)
Chromatin structure is a key determinant of gene expression in eukaryotes but it has not previously been possible to define the full structure of regulatory elements at the scale of the proteins determining gene expression. Here we generate multidimensional chromosome conformation capture (3C) maps at single base-pair resolution using Micro Capture-C (MCC).
Read the full summary ↓
This allows contacts between individual transcription factor binding sites within regulatory elements to be defined. Using degrons-we investigate the structural role of transcription factors and the Mediator complex. We show that the biophysical properties of nucleosomes and DNA can replicate the nanoscale chromatin structures observed with MCC using a detailed chemically specific, molecular dynamics approach. The ultra-high resolution 3C enable molecular dynamics approaches to be linked to larger scale nuclear architecture defined by super-resolution microscopy and allow us to propose a unified model to describe chromatin structure based on these orthogonal approaches.
Published in
Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactions
Li H, Dalgleish JLT, Lister G et al. · Cell 2025 · PMID 41197626 · doi:10.1016/j.cell.2025.10.013
This dataset
Open GSE307191 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 GSE307191_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 PRJNA1314724 and SRA study SRP617434. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41197626) ↗
Study design
20 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 20 sample titles: 20 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
Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

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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.