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Mapping H3K9me3 enrichment upon heterochromatin induction in early embryos.

GSE278718 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/04/10 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: 4 × H3K9me3_mGFP_Control_2C vs 3 × H3K9me3_Suv39h1_2C vs 3 × H3K9me3_PoolJ_2C vs 2 × H3K9me3_GFP_Control_2CGroups 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 establishment of nuclear organization in mouse embryos is orchestrated by multiple epigenetic pathwaysCell · 2025
Summary (written by the submitters)
We mapped genome-wide H3K9me3 enrichment upon heterochromatin induction to investigate the association of H3K9me3 domains with nuclear lamina in 2-cell embryos. We particularly focused on the expression of Suv39h1 alone and the coexpression of Suv39h1 along with heterochromatin reader proteins Hp1a and Hp1g (Pool J). To examine the changes in H3K9me3 enrichment, we performed CUT&RUN at the late 2-cell stage.
Published in
The establishment of nuclear organization in mouse embryos is orchestrated by multiple epigenetic pathways
Pal M, Schauer T, Burton A et al. · Cell 2025 · PMID 40273908 · doi:10.1016/j.cell.2025.03.044
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 GSE278718_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 PRJNA1168518 and SRA study SRP536454. Searching any of these in the dataset finder brings you back here.

Study design
4 × H3K9me3_mGFP_Control_2C vs 3 × H3K9me3_Suv39h1_2C vs 3 × H3K9me3_PoolJ_2C vs 2 × H3K9me3_GFP_Control_2C

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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