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Single-cell sequencing in stem cell biology
Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem cell populations, but these differences are masked when bulk cells are used for omic analysis. Single-cell sequencing technologies serve as powerful tools to dissect cellular heterogeneity comprehensively...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832540/ https://www.ncbi.nlm.nih.gov/pubmed/27083874 http://dx.doi.org/10.1186/s13059-016-0941-0 |
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author | Wen, Lu Tang, Fuchou |
author_facet | Wen, Lu Tang, Fuchou |
author_sort | Wen, Lu |
collection | PubMed |
description | Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem cell populations, but these differences are masked when bulk cells are used for omic analysis. Single-cell sequencing technologies serve as powerful tools to dissect cellular heterogeneity comprehensively and to identify distinct phenotypic cell types, even within a ‘homogeneous’ stem cell population. These technologies, including single-cell genome, epigenome, and transcriptome sequencing technologies, have been developing rapidly in recent years. The application of these methods to different types of stem cells, including pluripotent stem cells and tissue-specific stem cells, has led to exciting new findings in the stem cell field. In this review, we discuss the recent progress as well as future perspectives in the methodologies and applications of single-cell omic sequencing technologies. |
format | Online Article Text |
id | pubmed-4832540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48325402016-04-16 Single-cell sequencing in stem cell biology Wen, Lu Tang, Fuchou Genome Biol Review Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem cell populations, but these differences are masked when bulk cells are used for omic analysis. Single-cell sequencing technologies serve as powerful tools to dissect cellular heterogeneity comprehensively and to identify distinct phenotypic cell types, even within a ‘homogeneous’ stem cell population. These technologies, including single-cell genome, epigenome, and transcriptome sequencing technologies, have been developing rapidly in recent years. The application of these methods to different types of stem cells, including pluripotent stem cells and tissue-specific stem cells, has led to exciting new findings in the stem cell field. In this review, we discuss the recent progress as well as future perspectives in the methodologies and applications of single-cell omic sequencing technologies. BioMed Central 2016-04-15 /pmc/articles/PMC4832540/ /pubmed/27083874 http://dx.doi.org/10.1186/s13059-016-0941-0 Text en © Wen and Tang. 2016 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 Wen, Lu Tang, Fuchou Single-cell sequencing in stem cell biology |
title | Single-cell sequencing in stem cell biology |
title_full | Single-cell sequencing in stem cell biology |
title_fullStr | Single-cell sequencing in stem cell biology |
title_full_unstemmed | Single-cell sequencing in stem cell biology |
title_short | Single-cell sequencing in stem cell biology |
title_sort | single-cell sequencing in stem cell biology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832540/ https://www.ncbi.nlm.nih.gov/pubmed/27083874 http://dx.doi.org/10.1186/s13059-016-0941-0 |
work_keys_str_mv | AT wenlu singlecellsequencinginstemcellbiology AT tangfuchou singlecellsequencinginstemcellbiology |