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Understanding tumor ecosystems by single-cell sequencing: promises and limitations

Cellular heterogeneity within and across tumors has been a major obstacle in understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor tissues are used for analysis. The advent of rapidly developing single-cell sequencing technologies, which include methods related to...

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Detalles Bibliográficos
Autores principales: Ren, Xianwen, Kang, Boxi, Zhang, Zemin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276232/
https://www.ncbi.nlm.nih.gov/pubmed/30509292
http://dx.doi.org/10.1186/s13059-018-1593-z
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author Ren, Xianwen
Kang, Boxi
Zhang, Zemin
author_facet Ren, Xianwen
Kang, Boxi
Zhang, Zemin
author_sort Ren, Xianwen
collection PubMed
description Cellular heterogeneity within and across tumors has been a major obstacle in understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor tissues are used for analysis. The advent of rapidly developing single-cell sequencing technologies, which include methods related to single-cell genome, epigenome, transcriptome, and multi-omics sequencing, have been applied to cancer research and led to exciting new findings in the fields of cancer evolution, metastasis, resistance to therapy, and tumor microenvironment. In this review, we discuss recent advances and limitations of these new technologies and their potential applications in cancer studies.
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spelling pubmed-62762322018-12-06 Understanding tumor ecosystems by single-cell sequencing: promises and limitations Ren, Xianwen Kang, Boxi Zhang, Zemin Genome Biol Review Cellular heterogeneity within and across tumors has been a major obstacle in understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor tissues are used for analysis. The advent of rapidly developing single-cell sequencing technologies, which include methods related to single-cell genome, epigenome, transcriptome, and multi-omics sequencing, have been applied to cancer research and led to exciting new findings in the fields of cancer evolution, metastasis, resistance to therapy, and tumor microenvironment. In this review, we discuss recent advances and limitations of these new technologies and their potential applications in cancer studies. BioMed Central 2018-12-03 /pmc/articles/PMC6276232/ /pubmed/30509292 http://dx.doi.org/10.1186/s13059-018-1593-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Review
Ren, Xianwen
Kang, Boxi
Zhang, Zemin
Understanding tumor ecosystems by single-cell sequencing: promises and limitations
title Understanding tumor ecosystems by single-cell sequencing: promises and limitations
title_full Understanding tumor ecosystems by single-cell sequencing: promises and limitations
title_fullStr Understanding tumor ecosystems by single-cell sequencing: promises and limitations
title_full_unstemmed Understanding tumor ecosystems by single-cell sequencing: promises and limitations
title_short Understanding tumor ecosystems by single-cell sequencing: promises and limitations
title_sort understanding tumor ecosystems by single-cell sequencing: promises and limitations
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276232/
https://www.ncbi.nlm.nih.gov/pubmed/30509292
http://dx.doi.org/10.1186/s13059-018-1593-z
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