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The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency program. Bulk RNA-Seq profiling of mouse tissue Tregs.

GSE265835 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2024/04/29 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 10 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.
Paper
The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency programImmunity · 2024
Summary (written by the submitters)
The tissues are the site of many important immunological reactions, yet how the immune system is controlled at these sites remains opaque. Recent studies have identified Foxp3+ regulatory T cells (Tregs) in non-lymphoid tissues, with unique characteristics compared to lymphoid Tregs. However, tissue Tregs have not been considered holistically across tissues.
Read the full summary ↓
Here we performed a systematic analysis of the Treg population residing in non-lymphoid organs throughout the body, revealing shared phenotypes, transient residency and common molecular dependencies. Tissue Tregs from different non-lymphoid organs shared T cell receptor (TCR) sequences, with functional capacity to drive multi-tissue Treg entry, and were tissue-agnostic on tissue homing. Together these results demonstrate that the tissue-resident Treg pool in most non-lymphoid organs, other than the gut, is largely constituted by broadly self-reactive Tregs, characterised by transient multi-tissue migration. This work suggests common regulatory mechanisms may allow pan-tissue Tregs to safeguard homeostasis across the body.
Published in
The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency program
Burton OT, Bricard O, Tareen S et al. · Immunity 2024 · PMID 38897202 · doi:10.1016/j.immuni.2024.05.023
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 GSE265835_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 PRJNA1104296 and SRA study SRP503864. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in triplicate
Blood_Treg ×3 IEL_Treg ×3 Kidney_Treg ×3 LPL_Treg ×3 Liver_Treg ×3 Lung_Treg ×3 LN_Treg ×3 Pancreas_Treg ×3 +12 more

Supports a between-group comparison across 30 samples.

How we read this: 10 replicated groups read from 40 sample titles; they account for 30 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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