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 "High-dimensional single cell analysis identifies stem-like cytotoxic CD8+ T cells infiltrating human tumors"</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