Public knowledge document

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

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

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

  • 引用:Szabo PA, Levitin HM, Miron M, Snyder ME, Senda T, Yuan J, Cheng YL, Bush EC, Dogra P, Thapa P, Farber DL, Sims PA. (2019). Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nature communications. PMID 31624246 · PMC6797728 · DOI 10.1038/s41467-019-12464-3
  • 证据类型:PRIMARY_RESEARCH
  • 主题:rna-seq、single-cell
  • 被引次数(采集时):706
  • 原始记录:[Europe PMC](https://europepmc.org/article/MED/31624246)
  • 来源许可:[CC-BY](https://creativecommons.org/licenses/by/)
  • 作者摘要(按来源许可复用)

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