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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...

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Detalles Bibliográficos
Autores principales: Wen, Lu, Tang, Fuchou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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.
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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
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