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TLR2 in γδ T cells is required for metabolic support of IL-17A ocular mucosal immune response to a commensal bacterium [RNA-seq]

GSE236386 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2024/05/15 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 3 × RNA-seq_WT mice, naïve, vs 3 × RNA-seq_TLR2-deficient mice, C. mast inoculated, vs 3 × RNA-seq_WT mice, C. mast inoculated, vs 2 × RNA-seq_TLR2-deficient mice, naïve,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
TLR2 Supports γδ T cell IL-17A Response to ocular surface commensals by Metabolic ReprogrammingbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
The ocular surface is colonized by commensal microbiota, which tune the local mucosal immune response. However, the mechanisms underlying the induction of an IL-17 response by γδ T cells in response to ocular commensal bacteria, particularly Corynebacterium mastitidis (C. mast), have not been fully investigated. Here, we demonstrated that intrinsic TLR2 activation in γδ T cells by commensal microbiota is required for their IL-17A production and fatty acid oxidation.
Read the full summary ↓
We also identified IκBζ, a transcription factor whose expression is upregulated by TLR2 signaling, as a key regulator to enhance the expression of genes responsible for IL-17A production and FAO program. This study highlights the role of TLR2-mediated transcriptional regulation in targeting effector cytokines and metabolic programs to support IL-17A responses to commensal bacteria.
Published in
TLR2 Supports γδ T cell IL-17A Response to ocular surface commensals by Metabolic Reprogramming
Zhu W, Xu X, Nagarajan V et al. · bioRxiv : the preprint server for biology 2025 · PMID 38712203 · doi:10.1101/2024.04.01.587519
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 GSE236386_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 PRJNA990735 and SRA study SRP447139. Searching any of these in the dataset finder brings you back here.

Study design
3 × RNA-seq_WT mice, naïve, vs 3 × RNA-seq_TLR2-deficient mice, C. mast inoculated, vs 3 × RNA-seq_WT mice, C. mast inoculated, vs 2 × RNA-seq_TLR2-deficient mice, naïve,

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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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