← BioTransfer GEO Dataset Finder
GEO series

ChAHP Displaces Transcriptional Regulators Through Active Chromatin Remodeling [ChIPseq]

GSE297861 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 55 samples Submitted 2025/07/21 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 55 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
55 samples: 25 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
Remodeling activity of ChAHP restricts transcription factor access to chromatinMolecular cell · 2026
Summary (written by the submitters)
Transcriptional control in eukaryotes relies on the coordinated action of chromatin-based regulatory mechanisms, including control of nucleosome occupancy and chromatin modifications. We previously identified the ChAHP complex – comprising the chromatin remodeler CHD4, transcription factor ADNP, and HP1 proteins – as a repressor of SINE B2 retrotransposons and site-specific regulator of CTCF engagement with chromatin.
Read the full summary ↓
However, the molecular basis of these functions remained unresolved. Here, we show that ChAHP-associated CHD4 is essential for SINE B2 repression, while HP1 proteins are dispensable. We further demonstrate that CHD4’s remodeling activity is not required for chromatin binding, but is critical for both retrotransposon silencing and efficient CTCF antagonism. We propose ChAHP is a sequence-specific recruiter of chromatin remodeling activity, facilitating transcriptional control and localized modulation of chromatin architecture.
Published in
Remodeling activity of ChAHP restricts transcription factor access to chromatin
Ahel J, Mohn F, Schwaiger M et al. · Molecular cell 2026 · PMID 42413491 · doi:10.1016/j.molcel.2026.06.025
This dataset
Open GSE297861 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 GSE297861_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 PRJNA1266620 and SRA study SRP587009. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42413491) ↗
Study design
25 conditions, mostly in duplicate
ADNP ChIP in ADNP PxVxL mutant mESC, ×3 ADNP ChIP in ADNP N-terminal mutant mESC, ×3 CTCF ChIP in ADNP wt mESC, ×2 CTCF ChIP in ADNP PxVxL mutant mESC, ×2 CTCF ChIP in ADNP N-terminal mutant mESC, ×2 ADNP ChIP in ADNP wt mESC, for fusion exp., ×2 ADNP ChIP in CHD4wt-ADNPwt fusion mESC, ×2 ADNP ChIP in CHD4wt-ADNPdN (N-terminal mutant… ×2 +20 more

Supports a case/control comparison: 28 samples read as cases, 11 as controls.

How we read this: 25 replicated groups read from 55 sample titles; they account for 52 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

+ 15 more — browse all 55 samples with per-sample file links →

Datasets on a similar topic

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

Share this dataset

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.