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Pathobiont-triggered induction of epithelial IDO1 drives regional susceptibility to Inflammatory Bowel Disease

GSE284294 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/02/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
20 samples: 5 conditions, mostly with about 4 replicates eachGroups 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
Pathobiont-triggered induction of goblet cell response drives regional susceptibility to inflammatory bowel diseaseThe Journal of clinical investigation · 2026
Summary (written by the submitters)
Chelated proximal colon epithelium from wildtype and Tnf(dARE/+) mice in two murine housing facilities (CONV and SPF-B), where the CONV facility mice are naturally colonized with Chlamydia muridarum. Raw data contains all encapsulated cells, while processed data filtered out empty droplets, poor quality cells, and non-epithelial cells such as epithelia-associated or intraepithelial immune cells.
Published in
Pathobiont-triggered induction of goblet cell response drives regional susceptibility to inflammatory bowel disease
Spencer PN, Brown ME, Smith EP et al. · The Journal of clinical investigation 2026 · PMID 41701533 · doi:10.1172/JCI201729
This dataset
Open GSE284294 in finder → Find more mouse 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 GSE284294_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 PRJNA1198356 and SRA study SRP551470. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41701533) ↗
Study design
5 conditions, mostly with about 4 replicates each
MCN_young_dARE ×5 CONV_young_dARE ×4 CONV_aged_dARE ×4 MCN_young_WT ×4 CONV_aged_WT ×2 CONV_young_WT ×1

Supports a between-group comparison across 19 samples.

How we read this: 5 replicated groups read from 20 sample titles; they account for 19 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

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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.