Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
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.
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Atlas
Analysis Portals
Project Label
HumanTissueTcellActivationSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
Organ Part
Selected Cell Types
Disease Status (Specimen)
Unspecified
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
10x 3' v2
Nucleic Acid Source
single cell
Paired End
falseAnalysis Protocol
optimus_post_processing_v1.0.0, optimus_v4.2.2File Format
Cell Count Estimate
50.0kDonor Count
4