← BioTransfer GEO Dataset Finder
GEO series

Dual Role of PRC2-EZH1 in Orchestrating Rhythmicity of Circadian Transcriptional Program in Post-mitotic Skeletal Muscle Cells

GSE198409 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 78 samples Submitted 2025/01/03 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 78 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
78 samples: 24 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
PRC2-EZH1 contributes to circadian gene expression by orchestrating chromatin states and RNA polymerase II complex stabilityThe EMBO journal · 2024
Summary (written by the submitters)
Circadian rhythmicity of gene expression is a conserved feature of cell physiology. This involves the fine tuning between transcriptional and post-transcriptional molecular mechanisms, strongly dependent on the metabolic state of the cell that guarantees intrinsic plasticity of tissue specific genetic programs. To support the plastic properties a key role is played by the dynamics of epigenome structure and its regulators.
Read the full summary ↓
Here we investigate the role of the Polycomb cell memory complex PRC2-EZH1 in regulating transcriptional rhythmicity in post-mitotic skeletal muscle cells. We show that PRC2-EZH1 core components are under direct regulation of BMAL1, show an oscillatory behavior and control both silencing and activation of target genes. Fully assembled PRC2-EZH1 complex negatively regulates cyclic expression of direct targets through modulation of cyclic H3K27me3 status. Conversely, we show that EZH1 regulates constitutive circadian genes expression, through stabilization of RNA Pol II machinery and maintenance of transcription process fidelity. Collectively, these findings unveil the dual and multi role of PcG in circadian gene regulation in adult skeletal muscle cells, and the plastic nature of PcG cell memory system in somatic cells.
Published in
PRC2-EZH1 contributes to circadian gene expression by orchestrating chromatin states and RNA polymerase II complex stability
Liu P, Nadeef S, Serag MF et al. · The EMBO journal 2024 · PMID 39433902 · doi:10.1038/s44318-024-00267-2
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 GSE198409_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 PRJNA774105 and SRA study SRP342938. Searching any of these in the dataset finder brings you back here.

Study design
24 conditions, mostly in triplicate
Bio-EZH1 ChIP-seq at 12h, ×3 Bio-EZH1 ChIP-seq at 16h, ×3 Bio-EZH1 ChIP-seq at 20h, ×3 Bio-EZH1 ChIP-seq at 24h, ×3 Bio-EZH1 ChIP-seq at 28h, ×3 Bio-EZH1 ChIP-seq at 32h, ×3 SUZ12 ChIP-seq at 12h, ×3 SUZ12 ChIP-seq at 16h, ×3 +24 more

Supports a between-group comparison across 70 samples.

How we read this: 24 replicated groups read from 78 sample titles; they account for 70 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

+ 38 more — browse all 78 samples with per-sample file links →

Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.