← BioTransfer GEO Dataset Finder
GEO series

G-quadruplex structures regulate long-range transcriptional reprogramming to promote drug resistance in ovarian cancer [CUT&Tag]

GSE279641 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/06/06 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
12 samples: 3 × PEO1 B, G4 CT, vs 3 × PEO4 B, G4 CT, vs 3 × PEO1 B, h3k27ac CT, vs 3 × PEO4 B, h3k27ac CT,Groups 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
G-quadruplex structures regulate long-range transcriptional reprogramming to promote drug resistance in ovarian cancer cellsGenome biology · 2025
Summary (written by the submitters)
Enhancers are regulatory elements of the genome involved in transcriptional regulation and reprogramming. Similarly, we propose that secondary DNA structures termed G-quadruplexes could also be impacting transcription in an enhancer based way via long-range interactions to bring together regulatory elements of the genome. In this study, we map G-quadruplex structures and h3k27ac enhancer marks in a paired ovarian cancer cell line; PEO1 and PEO4.
Read the full summary ↓
We endeavour to use these findings to help link the transcriptional function of G-quadruplexes with enchancer in chemotherapy sensitive (PEO1) and chemotherapy resistant (PEO4) ovarian cancer cells.
Published in
G-quadruplex structures regulate long-range transcriptional reprogramming to promote drug resistance in ovarian cancer cells
Robinson J, Flint G, Garner I et al. · Genome biology 2025 · PMID 40646632 · doi:10.1186/s13059-025-03654-y
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 GSE279641_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 PRJNA1173756 and SRA study SRP538969. Searching any of these in the dataset finder brings you back here.

Study design
3 × PEO1 B, G4 CT, vs 3 × PEO4 B, G4 CT, vs 3 × PEO1 B, h3k27ac CT, vs 3 × PEO4 B, h3k27ac CT,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.