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Haploinsufficient phenotypes promote selection of PTEN and ARID1A deficient clones in human colon.

GSE266990 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2024/05/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 4 × WT vs 4 × PTEN_KO vs 4 × ARID1A_het vs 4 × PTEN_hetGroups 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
Haploinsufficient phenotypes promote selection of PTEN and ARID1A-deficient clones in human colonEMBO reports · 2025
Summary (written by the submitters)
Normal human tissues are known to be composed of a pactchwork of mutant clones but with limited implications on cancer risk. PTEN and ARID1A deficient clones were detected in the human colon using immunohistrochemistry and were found to be the product of monoallelic loess. They were associated with a bias in clone dynamics which resulted in positive selection in the tissue.
Read the full summary ↓
Heterozygous mutations were introduced in intestinal organoids which were subjected to bulk RNA-seq to describe the molecular mechanisms behind their positive selection. Although PTEN het organoids were associated with an advantageous phenotype in organoids, which was recapitulated in the transcriptomic analysis with increase proliferation and upregulation of developmental/regenerative processes and metabolic reprogramming, the ARID1A het organoids showed reduced growth which was seen as upregulation of apoptosis and downregulation of DNA replication. The discrepancy between the tissue and organoid phenotype for ARID1A was later explained due to the impact on stromal cells which are found in the tissue and are mediating the selective advantage. Importantly these molecular alterations and behaviours arise due to haploinsufficiency of these tumour suppressors in a pre-neoplastic context.
Published in
Haploinsufficient phenotypes promote selection of PTEN and ARID1A-deficient clones in human colon
Skoufou-Papoutsaki N, Adler S, Mehmed S et al. · EMBO reports 2025 · PMID 39920335 · doi:10.1038/s44319-025-00373-0
This dataset
Open GSE266990 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 GSE266990_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 PRJNA1109299 and SRA study SRP506445. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39920335) ↗
Study design
4 × WT vs 4 × PTEN_KO vs 4 × ARID1A_het vs 4 × PTEN_het

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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