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Reorganization of H3K9me2-modified chromatin regions during mouse embryonic development

GSE288731 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 33 samples Submitted 2025/11/21 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 33 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
33 samples: 9 conditions, mostly in triplicateGroups 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
Reorganization of H3K9me2-modified chromatin regions during mouse embryonic developmentDevelopmental biology · 2025
Summary (written by the submitters)
Nuclear architecture – the three-dimensional organization of chromatin in the nucleus – is a critical factor in the regulation of gene expression. The repressive histone modification histone H3 lysine 9 dimethyl (H3K9me2) is enriched at the nuclear periphery and demarcates two types of large genomic regions: lamina-associated domains (LADs); and H3K9me2-only domains (KODs) which have minimal contact with the lamina.
Read the full summary ↓
LADs have been extensively studied and contain repressed lineage-specific genes. KODs, first identified in pluripotent stem cells, were enriched for transcriptional enhancers. By mapping genome-wide H3K9me2-modified and Lamin B1-associated chromatin in developing embryonic mouse cells, we identify cell type-specific configurations of both LADs and KODs. Our analyses reveal that LAD reorganization, which occurs during cell differentiation, correlates with lineage-specific gene expression changes, while KOD reorganization is linked to changes in lineage-specific transcriptional enhancer activity. Interestingly, cell type-specific local depletion of H3K9me2 in KODs was found to correlate with peaks of H3K27ac at active lineage-specific enhancers. We also note that ultra-long regulatory regions are frequently marked by KODs, suggesting a role for KODs in long-range gene regulation. We propose a model in which KODs organize and maintain cell type-specific enhancers in a repressed state to allow for tissue- and stage-specific gene activation.
Published in
Reorganization of H3K9me2-modified chromatin regions during mouse embryonic development
Fulmer D, Shields EJ, Poleshko A et al. · Developmental biology 2025 · PMID 40972967 · doi:10.1016/j.ydbio.2025.09.005
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 GSE288731_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 PRJNA1219161 and SRA study SRP561516. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in triplicate
forebrain IgG b ×6 heart IgG b ×6 forebrain H3K9me2 b ×3 forebrain LaminB b ×3 heart H3K9me2 b ×3 heart LaminB b ×3 mES H3K9me2 b ×3 mES IgG b ×3 +1 more

Supports a between-group comparison across 33 samples.

How we read this: 9 replicated groups read from 33 sample titles; they account for 33 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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