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Microbiota promote enhanced CD39 expression in gamma delta (gd) intraepithelial lymphocytes through the activation of TCR and IL-15 signaling.

GSE292555 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/08/27 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
16 samples: 4 × gdHYP, Vg1 subset, vs 4 × gdHYP, Vg7 subset, vs 4 × WT, Vg1 subset, vs 4 × WT, Vg7 subset,Groups 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
Microbiota promote enhanced CD39 expression in γδ intraepithelial lymphocytes through the activation of TCR and IL-15 signalingMucosal immunology · 2025
Summary (written by the submitters)
Intraepithelial lymphocytes expressing the gd T cell receptor (gd IEL) provide continuous surveillance of the intestinal epithelium. We report that mice harboring a microbiota-specific hyperproliferative gd IEL (gdHYP) phenotype also upregulate the expression of the ectonucleotidase CD39, a marker of regulatory gd T cells. Enhanced TCR and IL-15 signaling correlates with a progression from a naïve-like CD39neg gd IEL to a more mature, tissue-adapted CD39hi IEL population.
Read the full summary ↓
We find that TCRgd activation drives CD122-mediated CD39 upregulation on gdHYP IELs and increased mucosal IL-15 further amplifies CD39 expression in gdHYP IELs. Notably, CD39 induction requires sustained exposure to the gdHYP-associated microbiota. Increased IL-15 signaling prolongs IEL survival and enhances gdHYP IEL bioenergetic potential. Notably, CD39hi gd IELs produce less pro-inflammatory cytokine, which may explain the lack of histopathology in gdHYP mice. Overall, our study identifies a previously unappreciated mechanism by which an altered microbiota amplifies CD39 expression on gdHYP IELs, leading to the expansion of gd IELs with regulatory potential.
Published in
Microbiota promote enhanced CD39 expression in γδ intraepithelial lymphocytes through the activation of TCR and IL-15 signaling
Alonso S, Kaur H, Jia L et al. · Mucosal immunology 2025 · PMID 40683453 · doi:10.1016/j.mucimm.2025.07.005
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 GSE292555_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 PRJNA1240201 and SRA study SRP572155. Searching any of these in the dataset finder brings you back here.

Study design
4 × gdHYP, Vg1 subset, vs 4 × gdHYP, Vg7 subset, vs 4 × WT, Vg1 subset, vs 4 × WT, Vg7 subset,

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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