Single-Cell Transcriptomic Analysis

Zhihong Zheng; Enguo Chen; Weiguo Lu; Gary Mouradian; Matthew Hodges; Mingyu Liang; Pengyuan Liu; Yan Lu

doi:10.1002/cphy.c190037

Single-Cell Transcriptomic Analysis

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

Authors

Zhihong Zheng¹, Enguo Chen², Weiguo Lu¹, Gary Mouradian³, Matthew Hodges³, Mingyu Liang³, Pengyuan Liu^{2

3}, Yan Lu¹

Affiliations

¹ 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.
² Department of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
³ Department of Physiology, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

PMID: 32163201
DOI: 10.1002/cphy.c190037

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.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Animals
Biomedical Research / methods*
Biomedical Research / trends
Computational Biology / methods*
Humans
Sequence Analysis, RNA / methods*
Single-Cell Analysis / methods*
Transcriptome*