Which dataset would you like to analyze in BBrowser?
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
Szabo, Peter A and Levitin, Hanna Mendes and Miron, Michelle and Snyder, Mark E and Senda, Takashi and Yuan, Jinzhou and Cheng, Yim Ling and Bush, Erin C and Dogra, Pranay and Thapa, Puspa and others
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+ T cells and an interferon-response state for CD4+ T cells. Comparing scRNA-seq profiles of tumor-associated T cells to our dataset reveals predominant activated CD8+ compared to CD4+ 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.