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Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer
Understanding immune cell phenotypes in the tumor microenvironment (TME) is essential for explaining and predicting progression of non-small cell lung cancer (NSCLC) and its response to immunotherapy. Here we describe the single-cell transcriptomics of CD45(+) immune cells from tumors, normal tissue...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299430/ https://www.ncbi.nlm.nih.gov/pubmed/35874785 http://dx.doi.org/10.3389/fimmu.2022.854724 |
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author | Zhao, Ying Zhang, Qilin Tu, Kailin Chen, Yanmei Peng, Yuxuan Ni, Yinyun Zhu, Guonian Cheng, Cheng Li, Yangqian Xiao, Xue Yu, Chunyan Lu, Keying Chen, Yaxin Li, Chengpin Tang, Jun Wang, Gang Luo, Wenxin Zhang, Wengeng Che, Guowei Li, Weimin Wang, Zhoufeng Xie, Dan |
author_facet | Zhao, Ying Zhang, Qilin Tu, Kailin Chen, Yanmei Peng, Yuxuan Ni, Yinyun Zhu, Guonian Cheng, Cheng Li, Yangqian Xiao, Xue Yu, Chunyan Lu, Keying Chen, Yaxin Li, Chengpin Tang, Jun Wang, Gang Luo, Wenxin Zhang, Wengeng Che, Guowei Li, Weimin Wang, Zhoufeng Xie, Dan |
author_sort | Zhao, Ying |
collection | PubMed |
description | Understanding immune cell phenotypes in the tumor microenvironment (TME) is essential for explaining and predicting progression of non-small cell lung cancer (NSCLC) and its response to immunotherapy. Here we describe the single-cell transcriptomics of CD45(+) immune cells from tumors, normal tissues and blood of NSCLC patients. We identified three clusters of immune cells exerting immunosuppressive effects: CD8(+) T cells with exhausted phenotype, tumor-associated macrophages (TAMs) with a pro-inflammatory M2 phenotype, and regulatory B cells (B regs) with tumor-promoting characteristics. We identified genes that may be mediating T cell phenotypes, including the transcription factors ONECUT2 and ETV4 in exhausted CD8(+) T cells, TIGIT and CTL4 high expression in regulatory T cells. Our results highlight the heterogeneity of CD45(+) immune cells in the TME and provide testable hypotheses about the cell types and genes that define the TME. |
format | Online Article Text |
id | pubmed-9299430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92994302022-07-21 Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer Zhao, Ying Zhang, Qilin Tu, Kailin Chen, Yanmei Peng, Yuxuan Ni, Yinyun Zhu, Guonian Cheng, Cheng Li, Yangqian Xiao, Xue Yu, Chunyan Lu, Keying Chen, Yaxin Li, Chengpin Tang, Jun Wang, Gang Luo, Wenxin Zhang, Wengeng Che, Guowei Li, Weimin Wang, Zhoufeng Xie, Dan Front Immunol Immunology Understanding immune cell phenotypes in the tumor microenvironment (TME) is essential for explaining and predicting progression of non-small cell lung cancer (NSCLC) and its response to immunotherapy. Here we describe the single-cell transcriptomics of CD45(+) immune cells from tumors, normal tissues and blood of NSCLC patients. We identified three clusters of immune cells exerting immunosuppressive effects: CD8(+) T cells with exhausted phenotype, tumor-associated macrophages (TAMs) with a pro-inflammatory M2 phenotype, and regulatory B cells (B regs) with tumor-promoting characteristics. We identified genes that may be mediating T cell phenotypes, including the transcription factors ONECUT2 and ETV4 in exhausted CD8(+) T cells, TIGIT and CTL4 high expression in regulatory T cells. Our results highlight the heterogeneity of CD45(+) immune cells in the TME and provide testable hypotheses about the cell types and genes that define the TME. Frontiers Media S.A. 2022-07-06 /pmc/articles/PMC9299430/ /pubmed/35874785 http://dx.doi.org/10.3389/fimmu.2022.854724 Text en Copyright © 2022 Zhao, Zhang, Tu, Chen, Peng, Ni, Zhu, Cheng, Li, Xiao, Yu, Lu, Chen, Li, Tang, Wang, Luo, Zhang, Che, Li, Wang and Xie https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Zhao, Ying Zhang, Qilin Tu, Kailin Chen, Yanmei Peng, Yuxuan Ni, Yinyun Zhu, Guonian Cheng, Cheng Li, Yangqian Xiao, Xue Yu, Chunyan Lu, Keying Chen, Yaxin Li, Chengpin Tang, Jun Wang, Gang Luo, Wenxin Zhang, Wengeng Che, Guowei Li, Weimin Wang, Zhoufeng Xie, Dan Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer |
title | Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer |
title_full | Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer |
title_fullStr | Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer |
title_full_unstemmed | Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer |
title_short | Single-Cell Transcriptomics of Immune Cells Reveal Diversity and Exhaustion Signatures in Non-Small-Cell Lung Cancer |
title_sort | single-cell transcriptomics of immune cells reveal diversity and exhaustion signatures in non-small-cell lung cancer |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299430/ https://www.ncbi.nlm.nih.gov/pubmed/35874785 http://dx.doi.org/10.3389/fimmu.2022.854724 |
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