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The chromatin accessibility landscape of mouse oocytes during configuration transition (CUT&Tag)

GSE262263 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/01/08 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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
12 samples: 3 × h3k27me3_nsn vs 3 × h3k27me3_sn vs 2 × h3k4me3_nsn vs 2 × h3k4me3_snGroups 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
The chromatin accessibility landscape of mouse oocytes during configuration transitionCell proliferation · 2025
Summary (written by the submitters)
The transition of chromatin configuration in mammalian oocytes from a non-surrounded nucleolus (NSN) to a surrounded nucleolus (SN) is critical for acquiring the developmental competence. However, the genomic and epigenomic features underlying this process remain poorly understood. In the present study, we first establish the chromatin accessibility landscape of mouse oocyte from NSN to SN stage.
Read the full summary ↓
Through the integrative analysis of multi-omics, we find that establishment of DNA methylation in oocytes is independent on the dynamics of chromatin accessibility. In contrast, histone H3K4me3 status is closely associated with the dynamics of accessible-regions during configuration transition. Furthermore, by focusing on the actively transcribed genes in NSN and SN oocytes, we discover that chromatin accessibility coupled with histone methylation (H3K4me3 and H3K27me3) participates in the transcriptional control during phase transition. In sum, our data serve as a broad resource for probing configuration transition in oocytes, and provide the potential evidence to elucidate the mechanism determining chromatin dynamics and oocyte quality.
Published in
The chromatin accessibility landscape of mouse oocytes during configuration transition
Zhu S, Li J, Wang X et al. · Cell proliferation 2025 · PMID 39245646 · doi:10.1111/cpr.13733
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 GSE262263_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 PRJNA1090928 and SRA study SRP497272. Searching any of these in the dataset finder brings you back here.

Study design
3 × h3k27me3_nsn vs 3 × h3k27me3_sn vs 2 × h3k4me3_nsn vs 2 × h3k4me3_sn

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 10 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
Datasets on a similar topic

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