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GATA6 is a Novel Regulator of Gene Expression and 3D Genome in Colorectal Cancer

GSE266750 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 75 samples Submitted 2024/12/19 Platform GPL24676Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 75 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)
Topic
Colorectal cancerThis series is part of our curated briefing on it.
Samples
75 samples: 23 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.
Paper
Pioneer factor GATA6 promotes colorectal cancer through 3D genome regulationScience advances · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Pioneer factor GATA6 promotes colorectal cancer through 3D genome regulation
Lyu H, Chen X, Cheng Y et al. · Science advances 2025 · PMID 39919174 · doi:10.1126/sciadv.ads4985
This dataset
Open GSE266750 in finder → Find more RNA-seq datasets → Colorectal cancer landscape →
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 GSE266750_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 PRJNA1108304 and SRA study SRP505973. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39919174) ↗
Study design
23 conditions, mostly in duplicate
xenograft mouse, ctrl, ×5 xenograft mouse, sgGATA6, ×5 DLD-1 cells, AID, ctrl, CTCF, ×3 DLD-1 cells, AID, ctrl, ×3 DLD-1 cells, AID, +Auxin, 12h, ×3 DLD-1 cells, AID, Wash, 24h, ×3 DLD-1 cells, AID, +Auxin, 72h, ×3 DLD-1 cells, WT, ×3 +31 more

Supports a case/control comparison: 9 samples read as cases, 29 as controls.

How we read this: 23 replicated groups read from 75 sample titles; they account for 59 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

+ 35 more — browse all 75 samples with per-sample file links →

More Colorectal cancer datasets

Search all RNA-seq datasets in GEO →

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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.