单细胞转录组分析。

Single-Cell Transcriptomic Analysis.

机构信息

Department of Gynecologic Oncology, Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Department of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

出版信息

Compr Physiol. 2020 Mar 12;10(2):767-783. doi: 10.1002/cphy.c190037.

DOI:10.1002/cphy.c190037

PMID:32163201

Abstract

Single-cell sequencing measures the sequence information from individual cells using optimized single-cell isolation protocols and next-generation sequencing technologies. Recent advancement in single-cell sequencing has transformed biomedical research, providing insights into diverse biological processes such as mammalian development, immune system function, cellular diversity and heterogeneity, and disease pathogenesis. In this article, we introduce and describe popular commercial platforms for single-cell RNA sequencing, general workflow for data analysis, repositories and databases, and applications for these approaches in biomedical research. © 2020 American Physiological Society. Compr Physiol 10:767-783, 2020.

摘要

单细胞测序使用优化的单细胞分离方案和下一代测序技术来测量单个细胞的序列信息。单细胞测序的最新进展改变了生物医学研究，为哺乳动物发育、免疫系统功能、细胞多样性和异质性以及疾病发病机制等各种生物学过程提供了深入了解。在本文中，我们介绍并描述了用于单细胞 RNA 测序的流行商业平台、数据分析的一般工作流程、存储库和数据库，以及这些方法在生物医学研究中的应用。© 2020 美国生理学会。综合生理学 10:767-783, 2020.