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Thrombospondin-1:CD47 signaling contributes to the development of T cell exhaustion in cancer.

GSE303017 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2025/09/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 2 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
2 samples
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)
T cell exhaustion, a hyporesponsive state of antigen-specific CD8+ T cells exhibiting elevated expression of multiple inhibitory surface receptors, is a major obstacle for the treatment of cancer. Current immune checkpoint blockade (ICB) therapies aimed at reinvigorating exhausted CD8+ T cells have demonstrated clinical effectiveness.
Read the full summary ↓
However, not all cancer patients achieve long-term disease control due, at least in part, to the refractory nature of terminally exhausted CD8+ T cells to be functionally reinvigorated. Besides persistent antigen stimulation, the environmental sources and mechanisms that lead to CD8+ T cell exhaustion in cancer remain to be thoroughly characterized. Here, we show that the expression of CD47 [a.k.a. integrin-associated protein (IAP) and ‘‘don’t eat me’’ signal is upregulated in tumour-associated, exhausted CD8+ T cell compartments in both human and murine tumours. Our findings reveal a novel role of the extracellular matrix protein thrombospondin-1 (TSP-1) and CD47 in promoting T cell exhaustion. Engagement of TSP-1 with CD47 drives the upregulation of TOX and inhibitory immune checkpoint molecules and compromises the effector function of CD8+ T cells during tumour progression. Mechanistically, the interaction of TSP-1 with CD47 on CD+ T cells activates the calcineurin-NFAT signaling, thereby promoting TOX expression and the T cell exhaustion program in cancer.
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 GSE303017_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 PRJNA1293359 and SRA study SRP601826. Searching any of these in the dataset finder brings you back here.

Samples in this study

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