Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

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作者
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
机构
[1] Columbia Center for Translational Immunology,Department of Systems Biology
[2] Columbia University Irving Medical Center,Department of Microbiology and Immunology
[3] Columbia University Irving Medical Center,Department of Surgery
[4] Columbia University Irving Medical Center,Department of Biochemistry and Molecular Biophysics
[5] Columbia University Irving Medical Center,undefined
[6] Columbia University Irving Medical Center,undefined
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Nature Communications | / 10卷
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摘要
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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