Wen Lu, Tang Fuchou
Biodynamic Optical Imaging Center, College of Life Sciences, Peking University, Beijing, 100871, China.
Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
Genome Biol. 2016 Apr 15;17:71. doi: 10.1186/s13059-016-0941-0.
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.
细胞间变异和异质性是干细胞群体的基本内在特征,但当使用大量细胞进行组学分析时,这些差异会被掩盖。单细胞测序技术是全面剖析细胞异质性以及识别不同表型细胞类型的有力工具,即使在“同质”的干细胞群体中也是如此。这些技术,包括单细胞基因组、表观基因组和转录组测序技术,近年来发展迅速。将这些方法应用于不同类型的干细胞,包括多能干细胞和组织特异性干细胞,在干细胞领域带来了令人兴奋的新发现。在本综述中,我们讨论了单细胞组学测序技术在方法学和应用方面的最新进展以及未来前景。