title: Single-Cell Transcriptional Analysis.
abstract: Despite being a relatively recent technological development, single-cell transcriptional analysis through high-throughput sequencing has already been used in hundreds of fruitful studies to make exciting new biological discoveries that would otherwise be challenging or even impossible. Consequently, this has fueled a virtuous cycle of even greater interest in the field and compelled development of further improved technical methodologies and approaches. Thanks to the combined efforts of the research community, including the fields of biochemistry and molecular biology, technology and instrumentation, data science, computational biology, and bioinformatics, the single-cell RNA-sequencing field is advancing at a pace that is both astounding and unprecedented. In this review, we provide a broad introduction to this revolutionary technology by presenting the state-of-the-art in sample preparation methodologies, technology platforms, and computational analysis methods, while highlighting the key considerations for designing, executing, and interpreting a study using single-cell RNA sequencing.
authors.affiliation: Division of Life Science and Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China; email: angelawu@ust.hk.
authors.forename: Angela R
authors.initials: AR
authors.lastname: Wu
authors.affiliation: School of Life Sciences and Center for Life Sciences, Tsinghua University, Beijing 100084, China; email: jianbinwang@mail.tsinghua.edu.cn.
authors.forename: Jianbin
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Bioengineering, University of California, Berkeley, California 94720; email: astreets@berkeley.edu.
authors.forename: Aaron M
authors.initials: AM
authors.lastname: Streets
authors.affiliation: Biodynamic Optical Imaging Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), College of Engineering, and Center for Life Sciences, Peking University, Beijing 100871, China; email: yanyi@pku.edu.cn.
authors.forename: Yanyi
authors.initials: Y
authors.lastname: Huang
mesh_terms: D000818:Animals; D004247:DNA / Q000032:analysis* / Q000737:chemistry / Q000378:metabolism; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D044085:Microfluidics; D016133:Polymerase Chain Reaction; D012326:RNA Splicing; D017423:Sequence Analysis, RNA; D059010:Single-Cell Analysis / Q000379:methods*
chemical_list: D004247:DNA
keywords: RNA-seq; gene expression; heterogeneity; microfluidics; next-generation sequencing