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Advances in single-cell RNA sequencing and its applications in cancer research
Cancers are a group of heterogeneous diseases characterized by the acquisition of functional capabilities during the transition from a normal to a neoplastic state. Powerful experimental and computational tools can be applied to elucidate the mechanisms of occurrence, progression, metastasis, and dr...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463514/ https://www.ncbi.nlm.nih.gov/pubmed/37612741 http://dx.doi.org/10.1186/s13045-023-01494-6 |
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author | Huang, Dezhi Ma, Naya Li, Xinlei Gou, Yang Duan, Yishuo Liu, Bangdong Xia, Jing Zhao, Xianlan Wang, Xiaoqi Li, Qiong Rao, Jun Zhang, Xi |
author_facet | Huang, Dezhi Ma, Naya Li, Xinlei Gou, Yang Duan, Yishuo Liu, Bangdong Xia, Jing Zhao, Xianlan Wang, Xiaoqi Li, Qiong Rao, Jun Zhang, Xi |
author_sort | Huang, Dezhi |
collection | PubMed |
description | Cancers are a group of heterogeneous diseases characterized by the acquisition of functional capabilities during the transition from a normal to a neoplastic state. Powerful experimental and computational tools can be applied to elucidate the mechanisms of occurrence, progression, metastasis, and drug resistance; however, challenges remain. Bulk RNA sequencing techniques only reflect the average gene expression in a sample, making it difficult to understand tumor heterogeneity and the tumor microenvironment. The emergence and development of single-cell RNA sequencing (scRNA-seq) technologies have provided opportunities to understand subtle changes in tumor biology by identifying distinct cell subpopulations, dissecting the tumor microenvironment, and characterizing cellular genomic mutations. Recently, scRNA-seq technology has been increasingly used in cancer studies to explore tumor heterogeneity and the tumor microenvironment, which has increased the understanding of tumorigenesis and evolution. This review summarizes the basic processes and development of scRNA-seq technologies and their increasing applications in cancer research and clinical practice. |
format | Online Article Text |
id | pubmed-10463514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104635142023-08-30 Advances in single-cell RNA sequencing and its applications in cancer research Huang, Dezhi Ma, Naya Li, Xinlei Gou, Yang Duan, Yishuo Liu, Bangdong Xia, Jing Zhao, Xianlan Wang, Xiaoqi Li, Qiong Rao, Jun Zhang, Xi J Hematol Oncol Review Cancers are a group of heterogeneous diseases characterized by the acquisition of functional capabilities during the transition from a normal to a neoplastic state. Powerful experimental and computational tools can be applied to elucidate the mechanisms of occurrence, progression, metastasis, and drug resistance; however, challenges remain. Bulk RNA sequencing techniques only reflect the average gene expression in a sample, making it difficult to understand tumor heterogeneity and the tumor microenvironment. The emergence and development of single-cell RNA sequencing (scRNA-seq) technologies have provided opportunities to understand subtle changes in tumor biology by identifying distinct cell subpopulations, dissecting the tumor microenvironment, and characterizing cellular genomic mutations. Recently, scRNA-seq technology has been increasingly used in cancer studies to explore tumor heterogeneity and the tumor microenvironment, which has increased the understanding of tumorigenesis and evolution. This review summarizes the basic processes and development of scRNA-seq technologies and their increasing applications in cancer research and clinical practice. BioMed Central 2023-08-24 /pmc/articles/PMC10463514/ /pubmed/37612741 http://dx.doi.org/10.1186/s13045-023-01494-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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 Huang, Dezhi Ma, Naya Li, Xinlei Gou, Yang Duan, Yishuo Liu, Bangdong Xia, Jing Zhao, Xianlan Wang, Xiaoqi Li, Qiong Rao, Jun Zhang, Xi Advances in single-cell RNA sequencing and its applications in cancer research |
title | Advances in single-cell RNA sequencing and its applications in cancer research |
title_full | Advances in single-cell RNA sequencing and its applications in cancer research |
title_fullStr | Advances in single-cell RNA sequencing and its applications in cancer research |
title_full_unstemmed | Advances in single-cell RNA sequencing and its applications in cancer research |
title_short | Advances in single-cell RNA sequencing and its applications in cancer research |
title_sort | advances in single-cell rna sequencing and its applications in cancer research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463514/ https://www.ncbi.nlm.nih.gov/pubmed/37612741 http://dx.doi.org/10.1186/s13045-023-01494-6 |
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