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Bulk RNA-sequencing of human Crohn's disease (CD) enteroids treated with interferon-gamma (IFNγ)

GSE290417 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2025/03/15 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 20 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
20 samples: 10 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
IFN-γ-Induced intestinal epithelial cell-type-specific programmed cell death: PANoptosis and its modulation in Crohn's diseaseFrontiers in immunology · 2025
Summary (written by the submitters)
To investigate the intestinal epithelial cellular responses to interferon-gamma (IFNγ), bulk RNA sequencing (RNA-seq) was performed on human small intestinal organoids (enteroids, n = 10) with and without IFNγ treatment (100 pg/ml). The enteroids were derived from endoscopic biopsy samples obtained from patients with Crohn's disease (CD).
Published in
IFN-γ-Induced intestinal epithelial cell-type-specific programmed cell death: PANoptosis and its modulation in Crohn's disease
Lee C, Kim JE, Cha YE et al. · Frontiers in immunology 2025 · PMID 40230837 · doi:10.3389/fimmu.2025.1523984
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 GSE290417_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: 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 PRJNA1227986. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
#96 IFN ×2 123 IFN ×2 293 IFN ×2 296 IFN ×2 F#63 IFN ×2 375 IFN ×2 376 IFN ×2 F#35 IFN ×2 +2 more

Supports a between-group comparison across 20 samples.

How we read this: 10 replicated groups read from 20 sample titles; they account for 20 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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