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CRISPR screening reveals that RNA helicase DDX41 triggers ribosome biogenesis and cancer progression through R-loop-mediated RPL/RPS transcription

GSE282326 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 25 samples Submitted 2025/07/01 Platform GPL24676Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 25 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
25 samples: 16 distinct titles, 3 of them repeatedGroups 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
CRISPR screening reveals that RNA helicase DDX41 triggers ribosome biogenesis and cancer progression through R-loop-mediated RPL/RPS transcriptionNature communications · 2025
Summary (written by the submitters)
Our findings showed that high-expressed DDX41 translocates to the R-loop structure of RPL/RPS genes, accelerating their transcription and promoting ribosome biogenesis. Additionally, acetyltransferase KAT8 is required for H3K9ac modification of the DDX41 promoter, while NR2C1/NR2C2 are responsible for regulating DDX41 transcription.
Published in
CRISPR screening reveals that RNA helicase DDX41 triggers ribosome biogenesis and cancer progression through R-loop-mediated RPL/RPS transcription
Li H, He Y, Jiang J et al. · Nature communications 2025 · PMID 40790042 · doi:10.1038/s41467-025-62743-5
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 GSE282326_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 PRJNA1188132 and SRA study SRP546224. Searching any of these in the dataset finder brings you back here.

Study design
16 distinct titles, 3 of them repeated
CRISPR_C ×5 CRISPR_T ×5 HUH7_siDDX41 ×2

How we read this: Read from 25 sample titles: 16 distinct titles with little repetition. 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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