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Inflammation-dependent differentiation of two distinct regulatory T cell populations in the visceral adipose tissue shapes systemic metabolism [RNA-seq III]

GSE237835 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/03/22 Platform GPL19057
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: 8 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
Two regulatory T cell populations in the visceral adipose tissue shape systemic metabolismNature immunology · 2024
Summary (written by the submitters)
Visceral adipose tissue (VAT) is an endocrine organ critical for energy storage and metabolic homeostasis. Its function, at least in part, is controlled by immune cells, including Foxp3+ regulatory T (Treg) cells, which restrain VAT inflammation and glucose intolerance.
Read the full summary ↓
Here we uncover that the VAT harbours two distinct Treg cell populations, prototypical ST2+ Treg cells, that are enriched in males and depend on the cytokine IL-33 and the transcription factor PPAR and a previously uncharacterized population of VAT Treg cells that express the chemokine receptor CXCR3+, are enriched in females and depend on the transcription factor T-bet. We further show that the transcription factor GATA3 promoted differentiation of ST2+ VAT Treg cells and together with PPAR and IL-33 repressed the differentiation of CXCR3+ Treg cells. CXCR3+ VAT Treg cells developed from naïve Treg cells in a cytokine IFN- dependent manner. Finally, we demonstrate that ST2+ Treg cells promoted glucose tolerance, while CXCR3+ Treg cells limited VAT inflammation in a sex specific manner. This study for the first time establishes how inflammation determines the developmental trajectories of two functionally and molecularly distinct Treg cell types in the VAT.
Published in
Two regulatory T cell populations in the visceral adipose tissue shape systemic metabolism
Torres SV, Man K, Elmzzahi T et al. · Nature immunology 2024 · PMID 38356058 · doi:10.1038/s41590-024-01753-9
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 GSE237835_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 PRJNA996911 and SRA study SRP450634. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
Female-High-Fat-Diet ×3 Female-Normal-Diet ×3 Male-High-Fat-Diet ×3 Male-Normal-Diet ×3 Female-Dendritic-Cells ×2 Female-Macrophages ×2 Male-Dendritic-Cells ×2 Male-Macrophages ×2

Supports a between-group comparison across 20 samples.

How we read this: 8 replicated groups read from 20 sample titles; they account for 20 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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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.