Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31624246.
- Also identified by DOI 10.1038/s41467-019-12464-3 and PMC identifier 6797728.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Human T cells coordinate adaptive immunity in diverse anatomic compartments through production of cytokines and effector molecules, but it is unclear how tissue site influences T cell persistence and function. Here, we use single cell RNA-sequencing (scRNA-seq) to define the heterogeneity of human T cells isolated from lungs, lymph nodes, bone marrow and blood, and their functional responses following stimulation. Through analysis of >50,000 resting and activated T cells, we reveal tissue T cell signatures in mucosal and lymphoid sites, and lineage-specific activation states across all sites including distinct effector states for CD8<sup>+</sup> T cells and an interferon-response state for CD4<sup>+</sup> T cells. Comparing scRNA-seq profiles of tumor-associated T cells to our dataset reveals predominant activated CD8<sup>+</sup> compared to CD4<sup>+</sup> T cell states within multiple tumor types. Our results therefore establish a high dimensional reference map of human T cell activation in health for analyzing T cells in disease.
Medical subject headings
- Lung
- Lymph Nodes
- Neoplasms
- Single-Cell Analysis
- T-Lymphocytes
- Transcriptome