Single-Cell Transcriptomic Analysis. Compr Physiol 2020 Mar 12;10(2):767-783
Date
03/13/2020Pubmed ID
32163201DOI
10.1002/cphy.c190037Scopus ID
2-s2.0-85081944090 (requires institutional sign-in at Scopus site) 6 CitationsAbstract
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.
Author List
Zheng Z, Chen E, Lu W, Mouradian G, Hodges M, Liang M, Liu P, Lu YAuthors
Matthew R. Hodges PhD Professor in the Physiology department at Medical College of WisconsinMingyu Liang PhD Vice Chair, Center Director, Professor in the Physiology department at Medical College of Wisconsin
Pengyuan Liu PhD Adjunct Professor in the Physiology department at Medical College of Wisconsin
Gary C. Mouradian PhD Assistant Professor in the Physiology department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AnimalsBiomedical Research
Computational Biology
Humans
Sequence Analysis, RNA
Single-Cell Analysis
Transcriptome
