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Coordination between transcriptional orientation and nucleoprotein complexes generate chromatin configuration of IgH locus [ChIP-Seq]

GSE241668 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 48 samples Submitted 2025/01/22 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 48 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
48 samples: 23 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.
Summary (written by the submitters)
In this study we combined epigenetic, transcriptional and recombinational assays of wild type and mutated Igh alleles to uncover structure function relationships between sequences that configure the locus for the first step of gene assembly.
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 GSE241668_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 PRJNA1009088 and SRA study SRP456968. Searching any of these in the dataset finder brings you back here.

Study design
23 conditions, mostly in duplicate
CTCF ChIP-Seq WT ×2 Rad21 ChIP-Seq WT ×2 Rad21 ChIP-Seq EF1a Rev #2 ×2 CTCF ChIP-Seq EF1a Rev #1 ×2 H3K4me3 ChIP-Seq EF1a Rev #1 ×2 H3K27ac ChIP-Seq EF1a Rev #1 ×2 CTCF ChIP-Seq EF1a Rev #2 ×2 H3K4me3 ChIP-Seq EF1a Rev #2 ×2 +17 more

Supports a between-group comparison across 46 samples.

How we read this: 23 replicated groups read from 48 sample titles; they account for 46 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

+ 8 more — browse all 48 samples with per-sample file links →

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.