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The TFIIH kinase CDK7 governs RNA polymerase II initiation, elongation, termination, and RNA processing

GSE228346 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2024/12/19 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 30 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
30 samples: 6 conditions, mostly in triplicateGroups 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
Multi-omics and biochemical reconstitution reveal CDK7-dependent mechanisms controlling RNA polymerase II function at gene 5'- and 3'-endsbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
In this study we perform precision nuclear run-on sequencing (PRO-seq) to measure the altered transcriptional response upon CDK7 inhibition or RNA-seq to elucidate the response of CDK7 inhibition on steady-state RNA. We performed a heat shock time course in PRO-seq with and without the Syros CDK7 inhibitor SY5609. Matching this data we performed three deeply sequenced RNA-seq experiments with SY5609 that include no heat shock, heat shock with recovery and long heat shock with no recovery.
Read the full summary ↓
We additionally generated two more RNA-seq datasets in heat shock conditions with another Syros inhibitor, SY5102 and in a CDK7-analog sensitive OV90 cell line treated with 3MBPP1.
Published in
Multi-omics and biochemical reconstitution reveal CDK7-dependent mechanisms controlling RNA polymerase II function at gene 5'- and 3'-ends
Luyties O, Sanford L, Rodino J et al. · bioRxiv : the preprint server for biology 2025 · PMID 39829884 · doi:10.1101/2025.01.08.632016
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 GSE228346_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA949515 and SRA study SRP429713. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
DMSO_0 ×3 SY5609_0 ×3 DMSO_30 ×3 SY5609_30 ×3 DMSO_120 ×3 SY5609_120 ×3 DMSO_0_R1 [PRO-seq] ×1 DMSO_0_R2 [PRO-seq] ×1 +10 more

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 30 sample titles; they account for 18 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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