Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797728/ https://www.ncbi.nlm.nih.gov/pubmed/31624246 http://dx.doi.org/10.1038/s41467-019-12464-3 |
_version_ | 1783459894706307072 |
---|---|
author | Szabo, Peter A. Levitin, Hanna Mendes Miron, Michelle Snyder, Mark E. Senda, Takashi Yuan, Jinzhou Cheng, Yim Ling Bush, Erin C. Dogra, Pranay Thapa, Puspa Farber, Donna L. Sims, Peter A. |
author_facet | Szabo, Peter A. Levitin, Hanna Mendes Miron, Michelle Snyder, Mark E. Senda, Takashi Yuan, Jinzhou Cheng, Yim Ling Bush, Erin C. Dogra, Pranay Thapa, Puspa Farber, Donna L. Sims, Peter A. |
author_sort | Szabo, Peter A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6797728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67977282019-10-21 Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease Szabo, Peter A. Levitin, Hanna Mendes Miron, Michelle Snyder, Mark E. Senda, Takashi Yuan, Jinzhou Cheng, Yim Ling Bush, Erin C. Dogra, Pranay Thapa, Puspa Farber, Donna L. Sims, Peter A. Nat Commun Article 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. Nature Publishing Group UK 2019-10-17 /pmc/articles/PMC6797728/ /pubmed/31624246 http://dx.doi.org/10.1038/s41467-019-12464-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Szabo, Peter A. Levitin, Hanna Mendes Miron, Michelle Snyder, Mark E. Senda, Takashi Yuan, Jinzhou Cheng, Yim Ling Bush, Erin C. Dogra, Pranay Thapa, Puspa Farber, Donna L. Sims, Peter A. Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease |
title | Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease |
title_full | Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease |
title_fullStr | Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease |
title_full_unstemmed | Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease |
title_short | Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease |
title_sort | single-cell transcriptomics of human t cells reveals tissue and activation signatures in health and disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797728/ https://www.ncbi.nlm.nih.gov/pubmed/31624246 http://dx.doi.org/10.1038/s41467-019-12464-3 |
work_keys_str_mv | AT szabopetera singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT levitinhannamendes singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT mironmichelle singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT snydermarke singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT sendatakashi singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT yuanjinzhou singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT chengyimling singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT busherinc singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT dograpranay singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT thapapuspa singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT farberdonnal singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease AT simspetera singlecelltranscriptomicsofhumantcellsrevealstissueandactivationsignaturesinhealthanddisease |