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Extensive exploration of T cell heterogeneity in cancers by single cell sequencing

Human T cells are a highly heterogeneous population and can recognize a wide variety of antigens by their T cell receptors (TCRs). Tumor cells display a large repertoire of antigens that serve as potential targets for recognition, thus making T cells in the tumor micro-environment more complicated....

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Detalles Bibliográficos
Autores principales: Wang, Xiaofang, Li, Yangqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513750/
https://www.ncbi.nlm.nih.gov/pubmed/31156311
http://dx.doi.org/10.21147/j.issn.1000-9604.2019.02.15
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author Wang, Xiaofang
Li, Yangqiu
author_facet Wang, Xiaofang
Li, Yangqiu
author_sort Wang, Xiaofang
collection PubMed
description Human T cells are a highly heterogeneous population and can recognize a wide variety of antigens by their T cell receptors (TCRs). Tumor cells display a large repertoire of antigens that serve as potential targets for recognition, thus making T cells in the tumor micro-environment more complicated. Making a connection between TCRs and the transcriptional information of individual T cells will be interesting for investigating clonal expansion within T cell populations under pathologic conditions. Advances in single cell RNA-sequencing (scRNA-seq) have allowed for comprehensive analysis of T cells. In this review, we briefly describe the research progress on tumor micro-environment T cells using single cell RNA sequencing, and then discuss how scRNA-seq can be used to resolve immune system heterogeneity in health and disease. Finally, we point out future directions in this field and potential for immunotherapy.
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spelling pubmed-65137502019-05-31 Extensive exploration of T cell heterogeneity in cancers by single cell sequencing Wang, Xiaofang Li, Yangqiu Chin J Cancer Res Review Article Human T cells are a highly heterogeneous population and can recognize a wide variety of antigens by their T cell receptors (TCRs). Tumor cells display a large repertoire of antigens that serve as potential targets for recognition, thus making T cells in the tumor micro-environment more complicated. Making a connection between TCRs and the transcriptional information of individual T cells will be interesting for investigating clonal expansion within T cell populations under pathologic conditions. Advances in single cell RNA-sequencing (scRNA-seq) have allowed for comprehensive analysis of T cells. In this review, we briefly describe the research progress on tumor micro-environment T cells using single cell RNA sequencing, and then discuss how scRNA-seq can be used to resolve immune system heterogeneity in health and disease. Finally, we point out future directions in this field and potential for immunotherapy. AME Publishing Company 2019-04 /pmc/articles/PMC6513750/ /pubmed/31156311 http://dx.doi.org/10.21147/j.issn.1000-9604.2019.02.15 Text en Copyright © 2019 Chinese Journal of Cancer Research. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Review Article
Wang, Xiaofang
Li, Yangqiu
Extensive exploration of T cell heterogeneity in cancers by single cell sequencing
title Extensive exploration of T cell heterogeneity in cancers by single cell sequencing
title_full Extensive exploration of T cell heterogeneity in cancers by single cell sequencing
title_fullStr Extensive exploration of T cell heterogeneity in cancers by single cell sequencing
title_full_unstemmed Extensive exploration of T cell heterogeneity in cancers by single cell sequencing
title_short Extensive exploration of T cell heterogeneity in cancers by single cell sequencing
title_sort extensive exploration of t cell heterogeneity in cancers by single cell sequencing
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513750/
https://www.ncbi.nlm.nih.gov/pubmed/31156311
http://dx.doi.org/10.21147/j.issn.1000-9604.2019.02.15
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