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Structural basis of the DEK-nucleosome complex and its functional implications [CUT&Tag]

GSE281372 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2025/01/01 Platform GPL13112
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 20 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
20 samples
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
DEK-nucleosome structure shows DEK modulates H3K27me3 and stem cell fateNature structural & molecular biology · 2025
Summary (written by the submitters)
The nuclear factor Dek is notably enriched within chromatin; nevertheless, the precise binding mechanism of Dek to the nucleosome remains elusive. In this study, we employ cryo-electron microscopy (cryo-EM) to elucidate the high-resolution structure of the Dek-Nucleosome Core Particle (NCP) complex. We identify specific domains responsible for DEK interaction with the histone octamer and DNA within the nucleosome.
Read the full summary ↓
The veracity of these binding domains is confirmed through a series of meticulous biochemical experiments. Subsequently, cellular experiments reveal that Dek lacking nucleosome-binding capacity exhibits a deficiency in chromatin interaction. Remarkably, this impairment induces a shift towards the primitive endoderm fate in mouse embryonic stem cells, underscoring the pivotal role of Dek in determining cell fate through its nucleosomal interactions.
Published in
DEK-nucleosome structure shows DEK modulates H3K27me3 and stem cell fate
Shen Y, Liu Y, Guo M et al. · Nature structural & molecular biology 2025 · PMID 40379883 · doi:10.1038/s41594-025-01559-9
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 GSE281372_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 PRJNA1183747 and SRA study SRP543981. Searching any of these in the dataset finder brings you back here.

Samples in this study

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