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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6276232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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