← BioTransfer GEO Dataset Finder
GEO series

An Intrinsically Disordered Region Controlling Condensation of a Circadian Clock Component and Rhythmic Transcription in the Liver [ChIP-seq]

GSE242901 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 45 samples Submitted 2024/11/05 Platform GPL24247Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 45 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
45 samples: 16 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
An intrinsically disordered region controlling condensation of a circadian clock component and rhythmic transcription in the liverMolecular cell · 2023
Summary (written by the submitters)
Circadian gene transcription is fundamental to metabolic physiology. Here we report that the nuclear receptor REV-ERBalpha, a repressive component of the molecular clock, forms circadian condensates in the nuclei of mouse Liver. These condensates are dictated by an intrinsically disordered region (IDR) located in the protein’s hinge region which specifically concentrates nuclear receptor corepressor 1 (NCOR1) at the genome.
Read the full summary ↓
IDR deletion diminishes the recruitment of NCOR1 and disrupts rhythmic gene transcription in vivo. REV-ERBalpha condensates are located at high-order transcriptional repressive hubs in the Liver genome that are highly correlated with circadian gene repression. Deletion of the IDR disrupts transcriptional repressive hubs and diminishes silencing of target genes by REV-ERBalpha. This work demonstrates physiological circadian protein condensates containing REV-ERBalpha whose IDR is required for hub formation and the control of rhythmic gene expression.
Published in
An intrinsically disordered region controlling condensation of a circadian clock component and rhythmic transcription in the liver
Zhu K, Celwyn IJ, Guan D et al. · Molecular cell 2023 · PMID 37802023 · doi:10.1016/j.molcel.2023.09.010
This dataset
Open GSE242901 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE242901_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1015252 and SRA study SRP459748. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 37802023) ↗
Study design
16 conditions, mostly in triplicate
Liver_ZT22_3HAKI_anti-HA_ChIP-seq ×4 Liver_ZT10_3HAKI_anti-HA_ChIP-seq ×4 Liver_ZT22_anti-H3K4me3_ChIP-seq ×3 Liver_ZT10_anti-H3K4me3_ChIP-seq ×3 Liver_ZT10_anti-H3K27ac_ChIP-seq ×3 Liver_ZT22_anti-NCOR1_ChIP-seq ×3 Liver_ZT10_anti-NCOR1_ChIP-seq ×3 Liver_ZT10_DKO_ΔhIDR_anti-NCOR1_ChIP-seq ×3 +10 more

Supports a between-group comparison across 43 samples.

How we read this: 16 replicated groups read from 45 sample titles; they account for 43 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

+ 5 more — browse all 45 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.