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Application and prospects of single cell sequencing in tumors
Cancer is an intricate disease with inherent intra-tumor heterogeneity at the cellular level because of genetic changes and environmental differences. Cellular heterogeneity exists even within the same tumor type. Small deviations in a genome or transcriptome can lead to significant differences in f...
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/PMC8665603/ https://www.ncbi.nlm.nih.gov/pubmed/34895349 http://dx.doi.org/10.1186/s40364-021-00336-2 |
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author | Huang, Ruo Han Wang, Le Xin He, Jing Gao, Wen |
author_facet | Huang, Ruo Han Wang, Le Xin He, Jing Gao, Wen |
author_sort | Huang, Ruo Han |
collection | PubMed |
description | Cancer is an intricate disease with inherent intra-tumor heterogeneity at the cellular level because of genetic changes and environmental differences. Cellular heterogeneity exists even within the same tumor type. Small deviations in a genome or transcriptome can lead to significant differences in function. Conventional bulk population sequencing, which produces admixed populations of cells, can only provide an average expression signal for one cell population, ignoring differences between individual cells. Important advances in sequencing have been made in recent years. Single cell sequencing starts in a single cell, thereby increasing our capability to characterize intratumor heterogeneity. This technology has been used to analyze genetic variation, specific metabolic activity, and evolutionary processes in tumors, which may help us understand tumor occurrence and development and improve our understanding of the tumor microenvironment. In addition, it provides a theoretical basis for the development of clinical treatments, especially for personalized medicine. In this article, we briefly introduce Single cell sequencing technology, summarize the application of Single cell sequencing to study the tumor microenvironment, as well as its therapeutic application in different clinical procedures. |
format | Online Article Text |
id | pubmed-8665603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86656032021-12-13 Application and prospects of single cell sequencing in tumors Huang, Ruo Han Wang, Le Xin He, Jing Gao, Wen Biomark Res Review Cancer is an intricate disease with inherent intra-tumor heterogeneity at the cellular level because of genetic changes and environmental differences. Cellular heterogeneity exists even within the same tumor type. Small deviations in a genome or transcriptome can lead to significant differences in function. Conventional bulk population sequencing, which produces admixed populations of cells, can only provide an average expression signal for one cell population, ignoring differences between individual cells. Important advances in sequencing have been made in recent years. Single cell sequencing starts in a single cell, thereby increasing our capability to characterize intratumor heterogeneity. This technology has been used to analyze genetic variation, specific metabolic activity, and evolutionary processes in tumors, which may help us understand tumor occurrence and development and improve our understanding of the tumor microenvironment. In addition, it provides a theoretical basis for the development of clinical treatments, especially for personalized medicine. In this article, we briefly introduce Single cell sequencing technology, summarize the application of Single cell sequencing to study the tumor microenvironment, as well as its therapeutic application in different clinical procedures. BioMed Central 2021-12-11 /pmc/articles/PMC8665603/ /pubmed/34895349 http://dx.doi.org/10.1186/s40364-021-00336-2 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 Huang, Ruo Han Wang, Le Xin He, Jing Gao, Wen Application and prospects of single cell sequencing in tumors |
title | Application and prospects of single cell sequencing in tumors |
title_full | Application and prospects of single cell sequencing in tumors |
title_fullStr | Application and prospects of single cell sequencing in tumors |
title_full_unstemmed | Application and prospects of single cell sequencing in tumors |
title_short | Application and prospects of single cell sequencing in tumors |
title_sort | application and prospects of single cell sequencing in tumors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665603/ https://www.ncbi.nlm.nih.gov/pubmed/34895349 http://dx.doi.org/10.1186/s40364-021-00336-2 |
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