Author
Listed:
- Peter A. Szabo
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center)
- Hanna Mendes Levitin
(Columbia University Irving Medical Center)
- Michelle Miron
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center
Columbia University Irving Medical Center)
- Mark E. Snyder
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center)
- Takashi Senda
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center
Columbia University Irving Medical Center)
- Jinzhou Yuan
(Columbia University Irving Medical Center)
- Yim Ling Cheng
(Columbia University Irving Medical Center)
- Erin C. Bush
(Columbia University Irving Medical Center)
- Pranay Dogra
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center)
- Puspa Thapa
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center)
- Donna L. Farber
(Columbia Center for Translational Immunology, Columbia University Irving Medical Center
Columbia University Irving Medical Center
Columbia University Irving Medical Center)
- Peter A. Sims
(Columbia University Irving Medical Center
Columbia University Irving Medical Center)
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+ 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.
Suggested Citation
Peter A. Szabo & Hanna Mendes Levitin & Michelle Miron & Mark E. Snyder & Takashi Senda & Jinzhou Yuan & Yim Ling Cheng & Erin C. Bush & Pranay Dogra & Puspa Thapa & Donna L. Farber & Peter A. Sims, 2019.
"Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease,"
Nature Communications, Nature, vol. 10(1), pages 1-16, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12464-3
DOI: 10.1038/s41467-019-12464-3
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