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IKKa modulates colorectal cancer metastasis by preventing tight junction stabilization and collective cell migration

GSE274368 Homo sapiens (human) RNA-seq (gene expression) 13 samples Submitted 2025/12/02 Platform GPL16791Platform GPL22245Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 13 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)
Topic
Colorectal cancerThis series is part of our curated briefing on it.
Samples
13 samples: 3 × CRC Hepatic Metastasis PDX WT vs 3 × CRC Hepatic Metastasis PDX IKKa KO vs 2 × CRC Patient Derived Organoid (PDO5) WT vs 2 × CRC Patient Derived Organoid (PDO5) IKKa KOGroups 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
Tight junction-high and CDH17-positive cell population is the source of colorectal cancer liver metastasesNature communications · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Tight junction-high and CDH17-positive cell population is the source of colorectal cancer liver metastases
Alvarez-Villanueva D, Maqueda M, Harti D et al. · Nature communications 2026 · PMID 41484106 · doi:10.1038/s41467-025-68169-3
This dataset
Open GSE274368 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 GSE274368_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: 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 PRJNA1146046 and SRA study SRP525073. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41484106) ↗
Study design
3 × CRC Hepatic Metastasis PDX WT vs 3 × CRC Hepatic Metastasis PDX IKKa KO vs 2 × CRC Patient Derived Organoid (PDO5) WT vs 2 × CRC Patient Derived Organoid (PDO5) IKKa KO

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 13 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
More Colorectal cancer datasets

Search all RNA-seq 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.