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DOT1L-mediated CDK9 methylation is essential for DNA double-strand break repair [RNA-seq]

GSE315014 Homo sapiens (human) DNA methylation 10 samples Submitted 2025/12/30 Platform GPL24676
At a glance

DNA methylation · human · 10 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
10 samples: 5 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.
Summary (written by the submitters)
P-TEFb is a key regulator of transcription elongation and is composed of cyclin-dependent kinase 9 (CDK9) and cyclin T1. DOT1L is a histone H3K79 methyltransferase. Here, we show that treatment with the DOT1L inhibitor EPZ-5676 induces transcriptome changes in HCT116 cells. We further demonstrate that DOT1L methylates CDK9 at lysine 56 and that CDK9 methylation-deficient mutant K56A reshapes genome-wide CDK9 occupancy.
Read the full summary ↓
Notably, changes in CDK9 occupancy are particularly pronounced at double-strand break (DSB)-related genes and are associated with the regulation of their transcription. This idataset includes RNA-seq and ChIP-seq data generated from HCT116 cells.
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 GSE315014_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 beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1394858 and SRA study SRP658360. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
DMSO_S ×2 EPZ_S ×2 shCDK9_EV_S ×2 shCDK9_WT_S ×2 shCDK9_K56A_S ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 sample titles; they account for 10 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
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