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Deletion of a state-specific PD-1 enhancer modulates exhausted T cell fate and function [ATAC-seq]

GSE212506 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2024/07/29 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
Epigenetic tuning of PD-1 expression improves exhausted T cell function and viral controlNature immunology · 2024
Summary (written by the submitters)
T cell exhaustion is a state of CD8+ T cell dysfunction elicited by chronic exposure to antigen and inflammation, arises in both cancer and chronic viral infection. The co-inhibitory receptor PD-1 plays a key role in mediating exhaustion, but complete ablation of PD-1 by gene knock-out leads to deeper functional deficits and poor T cell survival.
Read the full summary ↓
We hypothesized that an intermediate level of PD-1 expression may confer an improved balance of exhausted CD8+ T cell functionality, so we deleted an exhaustion-associated enhancer of PD-1 which indeed resulted in a reduced expression level. We compared EnhDel, WT and PD-1 KO T cells using single-cell RNA-Seq and found that PD-1 KO but not EnhDel cells are strongly biased towards the terminally exhausted subset. EnhDel cells also uniquely enrich for effector-associated genes and gene signatures. However, all three genotypes (EnhDel, WT and PD-1 KO) exhibit a similar chromatin accessibility landscape by ATAC-Seq, controlling for exhausted subset. These data suggest that tuning of PD-1 expression may uniquely permit the maintenance of an “effector” transcriptional profile in exhausted CD8+ T cells.
Published in
Epigenetic tuning of PD-1 expression improves exhausted T cell function and viral control
Weiss SA, Huang AY, Fung ME et al. · Nature immunology 2024 · PMID 39289557 · doi:10.1038/s41590-024-01961-3
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 GSE212506_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA875661 and SRA study SRP395211. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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
Datasets on a similar topic

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