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Long-term maintenance of H3K27me3 in postmitotic neurons is dispensable for gene expression regulation [ATAC-seq]

GSE330143 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2026/05/12 Platform GPL30172Platform GPL19057
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: 3 × GC, 7m, WT, vs 3 × GC, 7m, Ezh1cKO, vs 2 × GCP, P5, vs 2 × GC, P21,Groups 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)
Neuronal maturation is associated with extensive changes in gene expression and 3D chromatin architecture. However, the molecular mechanisms that control the epigenetic landscape in terminally differentiated neurons are poorly understood. Here, we show that maturing neurons undergo a striking increase in the levels of the repressive histone modification H3K27me3 broadly across the genome.
Read the full summary ↓
Using mice with a conditional deletion in the catalytic domain of EZH1, the primary H3K27 methyltransferase in postmitotic neurons, we show that H3K27me3 maintenance depends on EZH1. Strikingly, an almost complete loss of H3K27me3 in postmitotic neurons induces minimal changes in gene expression and chromatin accessibility at 7 months of age. The amino acid composition of EZH1 suggests reduced sensitivity to H3K36 methylation, resulting in distinct activities of EZH1 and EZH2 in different chromatin contexts. Together, our results show that a postmitotic switch from EZH2 to EZH1 establishes novel chromatin domains in neurons with a minimal role in transcriptional maintenance.
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 GSE330143_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 PRJNA1462817 and SRA study SRP698098. Searching any of these in the dataset finder brings you back here.

Study design
3 × GC, 7m, WT, vs 3 × GC, 7m, Ezh1cKO, vs 2 × GCP, P5, vs 2 × GC, P21,

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 10 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
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