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TRRAP enables MMB-dependent mitotic transcription and determines sensitivity to CHK1 inhibition

GSE318655 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 25 samples Submitted 2026/06/19 Platform GPL30173
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: 9 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)
The B-MYB-MuvB (MMB) complex is a key regulator of mitotic gene expression and is activated upon inhibition of the ATR-CHK1 pathway, resulting in premature mitotic entry, replication catastrophe, and cell death. Here we identify the transcriptional co-factor TRRAP as a critical regulator of MMB-dependent mitotic transcription. TRRAP physically interacts with B-MYB and is required for the expression of MMB target genes during both normal G2/M progression and CHK1-inhibitor-induced premature mitosis.
Read the full summary ↓
These results identify TRRAP as a critical chromatin co-factor for MMB-driven mitotic transcription, linking chromatin regulation to checkpoint sensitivity and highlighting a potential vulnerability in cancer cells.
This dataset
Open GSE318655 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE318655_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1419729 and SRA study SRP675172. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in duplicate
DMSO ×3 CHK1i ×3 IAA ×3 IAA_CHK1i ×3 CnR_HA_DMSO ×2 CnR_HA_CHK1i ×2 CnR_HA_IAA ×2 CnR_HA_IAA_CHK1i ×2 +4 more

Supports a between-group comparison across 22 samples.

How we read this: 9 replicated groups read from 25 sample titles; they account for 22 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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