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Cancer biology deciphered by single-cell transcriptomic sequencing
Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer biology had been studied using bulk genomic and gene expression profiling, which however mask the cellular diversity and average t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Higher Education Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901819/ https://www.ncbi.nlm.nih.gov/pubmed/34405376 http://dx.doi.org/10.1007/s13238-021-00868-1 |
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author | Li, Yanmeng Jin, Jianshi Bai, Fan |
author_facet | Li, Yanmeng Jin, Jianshi Bai, Fan |
author_sort | Li, Yanmeng |
collection | PubMed |
description | Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer biology had been studied using bulk genomic and gene expression profiling, which however mask the cellular diversity and average the variability among individual molecular programs. Recent advances in single-cell transcriptomic sequencing have enabled a detailed dissection of tumor ecosystems and promoted our understanding of tumorigenesis at single-cell resolution. In the present review, we discuss the main topics of recent cancer studies that have implemented single-cell RNA sequencing (scRNA-seq). To study cancer cells, scRNA-seq has provided novel insights into the cancer stem-cell model, treatment resistance, and cancer metastasis. To study the tumor microenvironment, scRNA-seq has portrayed the diverse cell types and complex cellular states of both immune and non-immune cells interacting with cancer cells, with the promise to discover novel targets for future immunotherapy. |
format | Online Article Text |
id | pubmed-8901819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Higher Education Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89018192022-03-15 Cancer biology deciphered by single-cell transcriptomic sequencing Li, Yanmeng Jin, Jianshi Bai, Fan Protein Cell Review Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer biology had been studied using bulk genomic and gene expression profiling, which however mask the cellular diversity and average the variability among individual molecular programs. Recent advances in single-cell transcriptomic sequencing have enabled a detailed dissection of tumor ecosystems and promoted our understanding of tumorigenesis at single-cell resolution. In the present review, we discuss the main topics of recent cancer studies that have implemented single-cell RNA sequencing (scRNA-seq). To study cancer cells, scRNA-seq has provided novel insights into the cancer stem-cell model, treatment resistance, and cancer metastasis. To study the tumor microenvironment, scRNA-seq has portrayed the diverse cell types and complex cellular states of both immune and non-immune cells interacting with cancer cells, with the promise to discover novel targets for future immunotherapy. Higher Education Press 2021-08-17 2022-03 /pmc/articles/PMC8901819/ /pubmed/34405376 http://dx.doi.org/10.1007/s13238-021-00868-1 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/) . |
spellingShingle | Review Li, Yanmeng Jin, Jianshi Bai, Fan Cancer biology deciphered by single-cell transcriptomic sequencing |
title | Cancer biology deciphered by single-cell transcriptomic sequencing |
title_full | Cancer biology deciphered by single-cell transcriptomic sequencing |
title_fullStr | Cancer biology deciphered by single-cell transcriptomic sequencing |
title_full_unstemmed | Cancer biology deciphered by single-cell transcriptomic sequencing |
title_short | Cancer biology deciphered by single-cell transcriptomic sequencing |
title_sort | cancer biology deciphered by single-cell transcriptomic sequencing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901819/ https://www.ncbi.nlm.nih.gov/pubmed/34405376 http://dx.doi.org/10.1007/s13238-021-00868-1 |
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