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Chromatin repression by PRC2 results in reduced gene expression driving key features of CD8 T cell exhaustion [RNA-seq]

GSE263885 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/10/31 Platform GPL32159Platform 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 duplicateGroups 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.
Summary (written by the submitters)
Exhausted CD8 T cells result from chronic antigen stimulation and have reduced ability to clear disease. The epigenetic regulation of the dysfunctional phenotype of exhausted CD8 T cells is a promising avenue for therapies aimed at reversing or preventing CD8 T cell exhaustion. Here, utilizing an in vitro model, we show global increase of the repressive histone modification H3K27me3 in CD8 T cell exhaustion as well as increased gene expression of the subunits of PRC2, the complex responsible for H3K27me3 deposition.
Read the full summary ↓
H3K27me3 correlated with decreased gene expression and localized to naïve/memory T cell genes in CD8 T cell exhaustion. PRC2 inhibition increased expression of many of these naïve/memory genes while reducing expression of key exhaustion genes. Further, we identified potential enhancers and transcription factors predicted to promote expression of the PRC2 subunits. Our study highlights the importance of the repressive epigenetic landscape of exhausted CD8 T cells as well as a novel role for PRC2 in T cell biology.
This dataset
Open GSE263885 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE263885_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1099680 and SRA study SRP501517. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in duplicate
T Cells,CHRONIC exhaustion, DMSO-treated, 110… ×3 T Cells,CHRONIC exhaustion, EED226-treated, 1… ×3 T Cells,ACUTE exhaustion, DMSO-treated, 01192… ×2 T Cells,CHRONIC exhaustion, DMSO-treated, 011… ×2 T Cells,ACUTE exhaustion, EED226-treated, 041… ×2 T Cells,CHRONIC exhaustion, DMSO-treated, 041… ×2 T Cells,CHRONIC exhaustion, EED226-treated, 0… ×2 T Cells,ACUTE exhaustion, DMSO-treated, 11032… ×2 +2 more

Supports a between-group comparison across 18 samples.

How we read this: 8 replicated groups read from 20 sample titles; they account for 18 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
Datasets on a similar topic

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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.