← BioTransfer GEO Dataset Finder
GEO series

ChAHP Silences SINE Retrotransposons by Inhibiting TFIIIB Recruitment.

GSE297837 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 126 samples Submitted 2026/05/01 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 126 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
126 samples: 51 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
ChAHP silences SINE retrotransposons by inhibiting TFIIIB recruitmentMolecular cell · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
ChAHP silences SINE retrotransposons by inhibiting TFIIIB recruitment
Schnabl-Baumgartner J, Mohn F, Schwaiger M et al. · Molecular cell 2026 · PMID 42413492 · doi:10.1016/j.molcel.2026.06.024
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 GSE297837_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 PRJNA1266251 and SRA study SRP587035. Searching any of these in the dataset finder brings you back here.

Study design
51 conditions, mostly in duplicate
ADNP ChIP in ADNP-3xFLAG mESC, ×6 RNA-seq in ADNP-FKBP12 mESC, ctrl, 1h, ×3 RNA-seq in ADNP-FKBP12 mESC, ctrl, 24h, ×3 RNA-seq in ADNP-FKBP12 mESC, ctrl, 4h, ×3 RNA-seq in ADNP-FKBP12 mESC, dTAG13, 24h, ×3 RNA-seq in ADNP-FKBP12 mESC, dTAG13, 4h, ×3 RNA-seq in ADNP-FKBP12 CTCF-FKBP12 mESC, ctrl… ×3 RNA-seq in ADNP-FKBP12 CTCF-FKBP12 mESC, dTAG… ×3 +47 more

Supports a between-group comparison across 122 samples.

How we read this: 51 replicated groups read from 126 sample titles; they account for 122 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

+ 86 more — browse all 126 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq 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.