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单细胞测序在干细胞生物学中的应用研究进展
肖邦1△,朱静2△,徐莎3,陈国栋3,黄超4*
0
(1. 海军军医大学(第二军医大学)基础医学院医学遗传学教研室, 上海 200433;
2. 海军军医大学(第二军医大学)中医系中医妇科学教研室, 上海 200433;
3. 海军军医大学(第二军医大学)转化医学研究中心干细胞与再生医学研究室, 上海 200433;
4. 海军军医大学(第二军医大学)基础医学院人体解剖学教研室, 上海 200433
共同第一作者
*通信作者)
摘要:
细胞间的变异或异质性是干细胞群的基本和内在特征。传统的组学分析在混合细胞群体上进行,导致这些差异被掩盖。近年来,单细胞基因组、表观基因组、转录组测序等技术发展迅速,为全面解析细胞异质性和识别不同表型细胞类型提供了强有力的工具。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,取得了令人兴奋的新发现。本文综述了单细胞组学测序技术的最新进展,并对单细胞组学测序的方法和应用前景进行了展望。
关键词:  单细胞组学  RNA测序  表观基因组测序  干细胞  细胞异质性
DOI:10.16781/j.CN31-2187/R.20230240
投稿时间:2021-02-22修订日期:2022-09-02
基金项目:国家自然科学基金(82201789),上海市自然科学基金(22ZR1477000).
Application of single cell sequencing in stem cell biology: research progress
XIAO Bang1△,ZHU Jing2△,XU Sha3,CHEN Guodong3,HUANG Chao4*
(1. Department of Medical Genetics, College of Basic Medical Sciences, Naval Medical University(Second Military Medical University), Shanghai 200433, China;
2. Department of Gynecology of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Naval Medical University(Second Military Medical University), Shanghai 200433, China;
3. Laboratory of Stem Cell and Regenerative Medicine, Center of Translational Medicine, Naval Medical University(Second Military Medical University), Shanghai 200433, China;
4. Department of Anatomy, College of Basic Medical Sciences, Naval Medical University(Second Military Medical University), Shanghai 200433, China
Co-first authors.
* Corresponding author)
Abstract:
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 traditional omic analysis. Technologies such as single-cell genome, epigenome and transcriptome sequencing have been developing rapidly in recent years. Single cell sequencing technologies serve as powerful tools to comprehensively dissect cellular heterogeneity and to identify distinct phenotypic cell types. 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. This paper reviews the recent progress as well as future perspectives in the methodology and application of single-cell omic sequencing technologies.
Key words:  single-cell omics  RNA sequencing  epigenome sequencing  stem cells  cellular heterogeneity