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Loop extrusion by cohesin plays a role in enhancer-activated gene expression early in differentiation (ChIP-seq)

GSE163008 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 26 samples Submitted 2026/04/14 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 26 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
26 samples: 25 distinct titles, 1 of them repeatedGroups 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)
Enhancers and their target promoters often come into close physical proximity when activated. This may be explained by a variety of mechanisms, including cohesin-mediated chromatin loop extrusion. However, acute depletion of cohesin does not cause widespread changes in gene expression. We have tested the role of cohesin-mediated loop extrusion in gene expression at the mouse alpha-globin locus during erythropoiesis.
Read the full summary ↓
Acute depletion of cohesin disrupts alpha-globin expression at early but not late stages of differentiation. Furthermore, when single or multiple CTCF sites, known to block cohesin, are placed between the alpha-globin enhancers and promoters, alpha-gene expression is disrupted. Importantly, the CTCF site’s orientation is critical, suggesting that within this activated domain, in definitive erythroid cells cohesin predominantly but not exclusively, translocates from the enhancers to the promoters. We find that loop extrusion does play an important role in establishing enhancer-promoter proximity and consequent expression of inducible genes during differentiation.
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 GSE163008_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 PRJNA684314 and SRA study SRP297583. Searching any of these in the dataset finder brings you back here.

Study design
25 distinct titles, 1 of them repeated
CTCF_ChIP_EB_WT ×2

How we read this: Read from 26 sample titles: 25 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

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