GEO series

Experimental and Computational Insights into the Mechanism that CHRONO Regulates the Circadian Clock

GSE237793 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2025/02/11 Platform GPL30209

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 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: Homo sapiens (human)
Samples: 16 samples
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)

The pace of the endogenous circadian clock is important for organisms to maintain homeostasis. CHRONO has been shown to play an important role in regulating the period of the mammalian clock and has recently been implicated to function in several important physiological aspects. To function properly, CHRONO needs to enter the nucleus to repress transcription.

Read the full summary ↓

However, how CHRONO enters the nucleus and regulates the circadian clock remains unknown. Here, we report the nuclear localization signal of CHRONO and the genome-scale cistrome of CHRONO. We show that CHRONO acts as a transcriptional repressor on Jun/Fos complexes in addition to the classical BMAL1/CLOCK complexes. We further developed a mathematical model and the model simulations strongly agreed with our findings that CHRONO acts on both REV-ERBα and BMAL1 to regulate the circadian period. The model also sheds light on the fact that CHRONO cycles in most of the mammalian tissues. Thus, our experimental and computational approaches reveal the molecular mechanisms of an important circadian component, CHRONO.

This dataset

Open GSE237793 in finder → Find more human 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 GSE237793_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 PRJNA996619 and SRA study SRP450428. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 16 more — browse all 16 samples with per-sample file links →

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

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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.