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Dataset related to article "High-dimensional single cell analysis identifies stem-like cytotoxic CD8+ T cells infiltrating human tumors"

<p>This record contains raw data related to article &quot;High-dimensional single cell analysis identifies stem-like cytotoxic CD8+ T cells infiltrating human tumors&quot;</p> <p>CD8<sup>+</sup> T cells infiltrating tumors are largely dysfunctional, but whether a subset maintains superior functionality remains ill defined. By high-dimensional single cell analysis of millions of CD8<sup>+</sup> T cells from 53 individuals with lung cancer, we defined those subsets that are enriched in tumors compared with cancer-free tissues and blood. Besides exhausted and activated cells, we identified CXCR5<sup>+</sup> TIM-3<sup>-</sup> CD8<sup>+</sup> T cells with a partial exhausted phenotype, while retaining gene networks responsible for stem-like plasticity and cytotoxicity, as revealed by single cell sequencing of the whole transcriptome. Ex vivo, CXCR5<sup>+</sup> TIM-3<sup>-</sup> CD8<sup>+</sup> T cells displayed enhanced self-renewal and multipotency compared with more differentiated subsets and were largely polyfunctional. Analysis of inhibitory and costimulatory receptors revealed PD-1, TIGIT, and CD27 as possible targets of immunotherapy. We thus demonstrate a hierarchy of differentiation in the context of T cell exhaustion in human cancer similar to that of chronically infected mice, which is further shown to disappear with disease progression.</p>

ShareScore

12/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
0
Reuse readiness
0
Engagement
4

Dataset details

Repository
zenodo
Published
September 17, 2019
License
Not reported
DOI
10.5281/zenodo.3441906

Scored with release 0.9.0

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