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Applications of single-cell sequencing in cancer research: progress and perspectives
Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides averaged data. The use of single-cell sequencing i...
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/PMC8190846/ https://www.ncbi.nlm.nih.gov/pubmed/34108022 http://dx.doi.org/10.1186/s13045-021-01105-2 |
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author | Lei, Yalan Tang, Rong Xu, Jin Wang, Wei Zhang, Bo Liu, Jiang Yu, Xianjun Shi, Si |
author_facet | Lei, Yalan Tang, Rong Xu, Jin Wang, Wei Zhang, Bo Liu, Jiang Yu, Xianjun Shi, Si |
author_sort | Lei, Yalan |
collection | PubMed |
description | Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides averaged data. The use of single-cell sequencing in cancer research has revolutionized our understanding of the biological characteristics and dynamics within cancer lesions. In this review, we summarize emerging single-cell sequencing technologies and recent cancer research progress obtained by single-cell sequencing, including information related to the landscapes of malignant cells and immune cells, tumor heterogeneity, circulating tumor cells and the underlying mechanisms of tumor biological behaviors. Overall, the prospects of single-cell sequencing in facilitating diagnosis, targeted therapy and prognostic prediction among a spectrum of tumors are bright. In the near future, advances in single-cell sequencing will undoubtedly improve our understanding of the biological characteristics of tumors and highlight potential precise therapeutic targets for patients. |
format | Online Article Text |
id | pubmed-8190846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81908462021-06-10 Applications of single-cell sequencing in cancer research: progress and perspectives Lei, Yalan Tang, Rong Xu, Jin Wang, Wei Zhang, Bo Liu, Jiang Yu, Xianjun Shi, Si J Hematol Oncol Review Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides averaged data. The use of single-cell sequencing in cancer research has revolutionized our understanding of the biological characteristics and dynamics within cancer lesions. In this review, we summarize emerging single-cell sequencing technologies and recent cancer research progress obtained by single-cell sequencing, including information related to the landscapes of malignant cells and immune cells, tumor heterogeneity, circulating tumor cells and the underlying mechanisms of tumor biological behaviors. Overall, the prospects of single-cell sequencing in facilitating diagnosis, targeted therapy and prognostic prediction among a spectrum of tumors are bright. In the near future, advances in single-cell sequencing will undoubtedly improve our understanding of the biological characteristics of tumors and highlight potential precise therapeutic targets for patients. BioMed Central 2021-06-09 /pmc/articles/PMC8190846/ /pubmed/34108022 http://dx.doi.org/10.1186/s13045-021-01105-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Lei, Yalan Tang, Rong Xu, Jin Wang, Wei Zhang, Bo Liu, Jiang Yu, Xianjun Shi, Si Applications of single-cell sequencing in cancer research: progress and perspectives |
title | Applications of single-cell sequencing in cancer research: progress and perspectives |
title_full | Applications of single-cell sequencing in cancer research: progress and perspectives |
title_fullStr | Applications of single-cell sequencing in cancer research: progress and perspectives |
title_full_unstemmed | Applications of single-cell sequencing in cancer research: progress and perspectives |
title_short | Applications of single-cell sequencing in cancer research: progress and perspectives |
title_sort | applications of single-cell sequencing in cancer research: progress and perspectives |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190846/ https://www.ncbi.nlm.nih.gov/pubmed/34108022 http://dx.doi.org/10.1186/s13045-021-01105-2 |
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