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Gut resident T-bet expressing Tr1 cells driven by dietary signals dominate the small intestinal immune landscape IV

GSE298394 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2025/12/16 Platform GPL32159
At a glance

RNA-seq (gene expression) · mouse · 28 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
28 samples: 7 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
Intestinal immunity provides defense against enteric pathogens, mediates symbiotic relationships with the resident microbiota, and provides tolerance to food antigens, safeguarding critical nutrient absorption and barrier functions of this mucosal tissue. Despite the large abundance of tissue resident activated T cells, how T cell immunity contributes to these various roles remains poorly understood.
Read the full summary ↓
Here we describe a previously uncharacterized dominant T-bet expressing Tr1 T cell population in the small intestine lamina propria present at homeostasis. Importantly, this IL-10 secreting CD4^+^T-bet^+^ T cell population appears in the small intestine at the time of weaning independently of the resident microbiota, presenting similar accumulation, functional capacity, and TCR repertoire in germ free conditions. Instead, small intestinal T-bet^+^ Tr1 T cells respond to dietary signals driving their accumulation, suppressive program, and clonal selection; and depend on cDC1s, IL-27 signaling, and T-bet, but not IL-12. Altogether, this work uncovers a previously unappreciated dominant player in homeostatic small intestinal immunity with the potential to play critical suppressive roles in oral tolerance to dietary antigens, raising important implications for the understanding of food allergy and celiac disease.
This dataset
Open GSE298394 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 GSE298394_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 PRJNA1269068 and SRA study SRP588320. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 conditions, mostly in triplicate
SILP GF aCD3 M ×5 SILP GF isotype F ×5 SILP GF isotype M ×5 SILP SPF aCD3 F ×3 SILP SPF aCD3 M ×3 SILP SPF isotype F ×3 SILP SPF isotype M ×3 SILP GF aCD3 F ×1

Supports a between-group comparison across 27 samples.

How we read this: 7 replicated groups read from 28 sample titles; they account for 27 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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