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Scaffolding element rewires genome architecture during differentiation at the Zfp608 locus [ATAC-Seq and Hi-C]

GSE308227 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2025/09/20 Platform GPL28457
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 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
10 samples: 2 × ATAC-seq in wt NPC vs 2 × ATAC-seq in CTCF motif deletion at element A NPC vs 2 × cHiC of element C2 and C3 deletion in mouse NPC at the Zfp608 locus vs 2 × cHiC of element C2,C3, and A deletion in mouse NPC at the Zfp608 locusGroups 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)
Upon differentiation chromatin rewires in order to reflect its new cellular identity and function. Zfp608 locus is rewired following the differentiation from the ESCs to the NPCs. During this process the local chromatin content is remodelled with activating marks littering the region, local 3D chromatin conformation compacts the region through local chromatin contacts and the Zfp608 expression amplifies. This study investigates the cis genetic elements as well as trans elements that drive this process in order to better understand how differentiation rewiring occurs.
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 GSE308227_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 PRJNA1083571 and SRA study SRP493257. Searching any of these in the dataset finder brings you back here.

Study design
2 × ATAC-seq in wt NPC vs 2 × ATAC-seq in CTCF motif deletion at element A NPC vs 2 × cHiC of element C2 and C3 deletion in mouse NPC at the Zfp608 locus vs 2 × cHiC of element C2,C3, and A deletion in mouse NPC at the Zfp608 locus

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 8 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
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