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H3K9me3 and MORC2 ChIP-seq profiling of wild-type and MORC2-knock-out HEK293T cells

GSE274908 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/05/05 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
12 samples: 6 conditions, mostly in duplicateGroups 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
MORC2 is a phosphorylation-dependent DNA compaction machineNature communications · 2025
Summary (written by the submitters)
We report an in vitro reconstitution of full-length MORC2, the most commonly mutated MORC member, linked to various cancers and neurological disorders. MORC2 possesses multiple DNA binding sites that undergo structural rearrangement upon DNA binding. MORC2 locks onto the DNA using its C-terminal domain (CTD) and acts as a sliding clamp.
Read the full summary ↓
A conserved phosphate-interacting motif within the CTD was found to regulate ATP hydrolysis and cooperative DNA binding. Importantly, MORC2 mediates chromatin remodelling via ATP hydrolysis-dependent DNA compaction, regulated by the phosphorylation state of its CTD.
Published in
MORC2 is a phosphorylation-dependent DNA compaction machine
Tan W, Park J, Venugopal H et al. · Nature communications 2025 · PMID 40593625 · doi:10.1038/s41467-025-60751-z
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 GSE274908_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 PRJNA1148458 and SRA study SRP526617. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
ChIP-seq H3K9me3 library from MORC2 KO HEK293… ×2 ChIP-seq H3K9me3 library from MORC2 WT HEK293… ×2 ChIP-seq IgG library from MORC2 KO HEK293T ce… ×2 ChIP-seq IgG library from MORC2 WT HEK293T ce… ×2 ChIP-seq MORC2 library from MORC2 KO HEK293T … ×2 ChIP-seq MORC2 library from MORC2 WT HEK293T … ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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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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.