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The Prostacyclin Receptor is a Nrf2-regulated Immune Checkpoint in CD8+ T cells

GSE244465 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/07/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 3 × WT P14 run 2 mouse vs 3 × KO P14 run 2 mouse vs 2 × WT P14 run 1 mouse vs 2 × KO P14 run 1 mouseGroups 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
NRF2-dependent regulation of the prostacyclin receptor PTGIR drives CD8 T cell exhaustionbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Understanding how circulating metabolites enforce pathways in dysfunctional immune cells may illuminate modes of intervention directed at reviving immune function. The NRF2 pathway is the most widely documented cytoprotective axis in land-dwelling eukaryotes. However, the role of this pathway in CD8+ T cells—which seek and destroy tumors and pathogen infected cells—has yet to be elucidated.
Read the full summary ↓
Our lab has conducted a RNAseq meta-analysis of CD8+ T cells upon tumor, viral and bacterial inoculation. Curiously, the NRF2 pathway was robustly upregulated in dysfunctional CD8+T cells. To further investigate the role of NRF2 in these contexts we developed a mouse model whereby the NRF2 axis is permanently hyperactivated in CD8+ T cells, hereafter referred to as NRF2Hi. Our in vivo data demonstrate that NRF2Hi CD8+ T cells offer little overall cytoprotection and poorly control tumors and pathogens versus wildtype (WT) control CD8+ T cells. To understand why upregulation of the NRF2 axis could be unfavorable to CD8+ T cell function we conducted RNAseq on NRF2Hi versus WT cells upon viral infection of mice. We found that NRF2Hi cells massively upregulate the prostacyclin receptor (PTGIR), which binds to prostacyclin—a circulating metabolite of arachidonic acid that has only been investigated in vasodilation and is seemingly benign to CD8+ T cells. To decipher the role of PTGIR in CD8+ T cells, we silenced its expression and observed a revival of CD8+ T cell function, significantly reducing tumor and pathogen burden. Collectively, our data illuminate a NRF2-regulated immune checkpoint, PTGIR. Interventions that suppress the interaction between PTGIR and prostacyclin may serve therapeutic benefit in clinical contexts such as cancer and chronic pathogen infections.
Published in
NRF2-dependent regulation of the prostacyclin receptor PTGIR drives CD8 T cell exhaustion
Dahabieh MS, DeCamp LM, Oswald BM et al. · bioRxiv : the preprint server for biology 2024 · PMID 38979360 · doi:10.1101/2024.06.23.600279
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 GSE244465_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 PRJNA1023228 and SRA study SRP464241. Searching any of these in the dataset finder brings you back here.

Study design
3 × WT P14 run 2 mouse vs 3 × KO P14 run 2 mouse vs 2 × WT P14 run 1 mouse vs 2 × KO P14 run 1 mouse

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 10 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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