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Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity I

GSE234974 Mus musculus (mouse) Single-cell RNA-seq 24 samples Submitted 2024/07/02 Platform GPL19057
At a glance

Single-cell RNA-seq · mouse · 24 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
24 samples: 6 conditions, mostly with about 4 replicates eachGroups 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)
Cytotoxic CD8+ T cells need to persist and function in diverse tumor microenvironments to exert their effects. Here, we developed Generalizable Matrix Decomposition Framework (GMDF), a matrix factorization algorithm that recovers both shared and tumor type-specific transcriptional programs from diverse data sets, and applied it to a scRNA-seq compendium of 38,852 CD8+ T cells from 141 patients spanning nine different human cancers.
Read the full summary ↓
Our meta-single-cell analyses uncovered a pan-cancer T cell dysfunction program that was predictive of clinical responses to checkpoint blockade in melanoma and highlighted CXCR6 as a pan-cancer marker of chronically activated T cells. CXCR6 transcription was activated by AP-1 factors and repressed by TCF1. In mouse models, CXCR6 expression increased with tumor progression and upon checkpoint blockade. CXCR6 deletion in CD8+ T cells increased apoptosis of PD1+Tim3+ cells and compromised tumor growth control due to suppressed expression of survival factors and CD28 co-stimulation, revealing a role for CXCR6 in opposing PD1-mediated suppression of CD28 signaling. Our application of GMDF led us to discover a TCF1:CXCR6 axis that counterbalances PD1-mediated suppression of CD8+ cell responses and is essential for effective anti-tumor immunity.
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 GSE234974_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA983823 and SRA study SRP443771. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
cKO_Mouse1_TP ×4 cKO_Mouse2_TP ×4 cKO_Mouse3_TP ×4 WT_Mouse4_TP ×4 WT_Mouse5_TP ×4 WT_Mouse6_TP ×4

Supports a between-group comparison across 24 samples.

How we read this: 6 replicated groups read from 24 sample titles; they account for 24 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.