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Single‐cell RNA sequencing in cancer research
Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of complex tissues at single-cell levels, can identify differential gene expression and epigenetic factors caused by mutations in unicellular genomes, as well as new cell-specific markers and cell types. scRNA-seq play...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919320/ https://www.ncbi.nlm.nih.gov/pubmed/33648534 http://dx.doi.org/10.1186/s13046-021-01874-1 |
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author | Zhang, Yijie Wang, Dan Peng, Miao Tang, Le Ouyang, Jiawei Xiong, Fang Guo, Can Tang, Yanyan Zhou, Yujuan Liao, Qianjin Wu, Xu Wang, Hui Yu, Jianjun Li, Yong Li, Xiaoling Li, Guiyuan Zeng, Zhaoyang Tan, Yixin Xiong, Wei |
author_facet | Zhang, Yijie Wang, Dan Peng, Miao Tang, Le Ouyang, Jiawei Xiong, Fang Guo, Can Tang, Yanyan Zhou, Yujuan Liao, Qianjin Wu, Xu Wang, Hui Yu, Jianjun Li, Yong Li, Xiaoling Li, Guiyuan Zeng, Zhaoyang Tan, Yixin Xiong, Wei |
author_sort | Zhang, Yijie |
collection | PubMed |
description | Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of complex tissues at single-cell levels, can identify differential gene expression and epigenetic factors caused by mutations in unicellular genomes, as well as new cell-specific markers and cell types. scRNA-seq plays an important role in various aspects of tumor research. It reveals the heterogeneity of tumor cells and monitors the progress of tumor development, thereby preventing further cellular deterioration. Furthermore, the transcriptome analysis of immune cells in tumor tissue can be used to classify immune cells, their immune escape mechanisms and drug resistance mechanisms, and to develop effective clinical targeted therapies combined with immunotherapy. Moreover, this method enables the study of intercellular communication and the interaction of tumor cells and non-malignant cells to reveal their role in carcinogenesis. scRNA-seq provides new technical means for further development of tumor research and is expected to make significant breakthroughs in this field. This review focuses on the principles of scRNA-seq, with an emphasis on the application of scRNA-seq in tumor heterogeneity, pathogenesis, and treatment. |
format | Online Article Text |
id | pubmed-7919320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79193202021-03-02 Single‐cell RNA sequencing in cancer research Zhang, Yijie Wang, Dan Peng, Miao Tang, Le Ouyang, Jiawei Xiong, Fang Guo, Can Tang, Yanyan Zhou, Yujuan Liao, Qianjin Wu, Xu Wang, Hui Yu, Jianjun Li, Yong Li, Xiaoling Li, Guiyuan Zeng, Zhaoyang Tan, Yixin Xiong, Wei J Exp Clin Cancer Res Review Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of complex tissues at single-cell levels, can identify differential gene expression and epigenetic factors caused by mutations in unicellular genomes, as well as new cell-specific markers and cell types. scRNA-seq plays an important role in various aspects of tumor research. It reveals the heterogeneity of tumor cells and monitors the progress of tumor development, thereby preventing further cellular deterioration. Furthermore, the transcriptome analysis of immune cells in tumor tissue can be used to classify immune cells, their immune escape mechanisms and drug resistance mechanisms, and to develop effective clinical targeted therapies combined with immunotherapy. Moreover, this method enables the study of intercellular communication and the interaction of tumor cells and non-malignant cells to reveal their role in carcinogenesis. scRNA-seq provides new technical means for further development of tumor research and is expected to make significant breakthroughs in this field. This review focuses on the principles of scRNA-seq, with an emphasis on the application of scRNA-seq in tumor heterogeneity, pathogenesis, and treatment. BioMed Central 2021-03-01 /pmc/articles/PMC7919320/ /pubmed/33648534 http://dx.doi.org/10.1186/s13046-021-01874-1 Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Zhang, Yijie Wang, Dan Peng, Miao Tang, Le Ouyang, Jiawei Xiong, Fang Guo, Can Tang, Yanyan Zhou, Yujuan Liao, Qianjin Wu, Xu Wang, Hui Yu, Jianjun Li, Yong Li, Xiaoling Li, Guiyuan Zeng, Zhaoyang Tan, Yixin Xiong, Wei Single‐cell RNA sequencing in cancer research |
title | Single‐cell RNA sequencing in cancer research |
title_full | Single‐cell RNA sequencing in cancer research |
title_fullStr | Single‐cell RNA sequencing in cancer research |
title_full_unstemmed | Single‐cell RNA sequencing in cancer research |
title_short | Single‐cell RNA sequencing in cancer research |
title_sort | single‐cell rna sequencing in cancer research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919320/ https://www.ncbi.nlm.nih.gov/pubmed/33648534 http://dx.doi.org/10.1186/s13046-021-01874-1 |
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