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CDK12 prevents MYC-induced transcription-replication conflicts [ChIP-seq]

GSE236546 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2024/06/19 Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 2 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
2 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.
Paper
CDK12 controls transcription at damaged genes and prevents MYC-induced transcription-replication conflictsNature communications · 2024
Summary (written by the submitters)
In order to identify genes and pathways necessary to preserve genome integrity upon Myc over-expression, we conducted a large siRNA-based screen in isogenic lines. We discovered several genes that suppressed the Myc-induced DNA-damage response and that were essential for the cell survival upon Myc activation. We idntified CDK12, a cyclin dependent kinase involved in transcriptional control and genome stability.
Read the full summary ↓
We uncovered a novel and unexpected role of CDK12 in controlling transcription at loci proximal to DNA damaged sites and dissected its upstream regulatory pathways and downstream effectors. Mechanistic studies and genome-wide mapping of replication dynamics and DSBs revealed how CDK12 is essential to suppress intrinsic transcription-replication conflicts, thus avoiding cytotoxic DNA damage in cancer cells. Overall, this study uncovers a novel role for CDK12 and a new liability of Myc-driven cancers, which could be exploited for therapeutic purposes.
Published in
CDK12 controls transcription at damaged genes and prevents MYC-induced transcription-replication conflicts
Curti L, Rohban S, Bianchi N et al. · Nature communications 2024 · PMID 39155303 · doi:10.1038/s41467-024-51229-5
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 GSE236546_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 PRJNA991553 and SRA study SRP447491. Searching any of these in the dataset finder brings you back here.

Samples in this study

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