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A CDK11-dependent RNA polymerase II pause-release checkpoint precedes CDK9-mediated transition to transcriptional elongation [ChIP-Seq]

GSE280208 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 33 samples Submitted 2025/08/25 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 33 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
33 samples: 30 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
A CDK11-dependent RNA polymerase II pause-checkpoint precedes CDK9-mediated transition to transcriptional elongationMolecular cell · 2025
Summary (written by the submitters)
Controlled gene expression is achieved through the intricate regulation of RNA polymerase II (Pol II) progression through transcription-cycle checkpoints. The pausing checkpoint, where Pol II temporarily stalls prior to release into transcriptional elongation, is a key molecular mechanism that fine-tunes gene expression. While the critical contribution of cyclin-dependent-kinase 9 (CDK9) for Pol II pause-release is well established, the requirement for other CDKs has not been fully elucidated.
Read the full summary ↓
Here we identify a new role for CDK11 in the Pol II pausing-to-elongation transition at a checkpoint that is distinct and independent from CDK9. Selective CDK11 inhibition results in genome-wide stalling of Pol II at transcription-start-site (TSS) proximal regions and acute RNA synthesis ablation near the beginning of transcriptional units. High-resolution chromatin-immunoprecipitation and precision-nuclear-run-on assays reveals spatial differences between CDK11- and CDK9-dependent Pol II pause sites, with CDK11 regulating Pol II closer to the TSS. Cancer cells exhibit profound reliance on functional CDK11, with selective CDK11 inhibition providing therapeutic efficacy in pre-clinical in vivo models of leukaemia and lymphoma, demonstrating the importance of CDK11-dependent Pol II regulation for aggressive haematological malignancies.
Published in
A CDK11-dependent RNA polymerase II pause-checkpoint precedes CDK9-mediated transition to transcriptional elongation
Devlin JR, Martin B, Bartonicek N et al. · Molecular cell 2025 · PMID 40858114 · doi:10.1016/j.molcel.2025.08.001
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 GSE280208_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 PRJNA1177353 and SRA study SRP540589. Searching any of these in the dataset finder brings you back here.

Study design
30 distinct titles, 3 of them repeated
ChIP-nexus, Pol II CTD4H8, THP1, DMSO 2 hours… ×2 ChIP-nexus, Pol II CTD4H8, THP1, OTS964 156nM… ×2 ChIP-nexus, Pol II CTD4H8, THP1, AZ5576 170nM… ×2

How we read this: Read from 33 sample titles: 30 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
Datasets on a similar topic

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