title: Understanding development and stem cells using single cell-based analyses of gene expression.
abstract: In recent years, genome-wide profiling approaches have begun to uncover the molecular programs that drive developmental processes. In particular, technical advances that enable genome-wide profiling of thousands of individual cells have provided the tantalizing prospect of cataloging cell type diversity and developmental dynamics in a quantitative and comprehensive manner. Here, we review how single-cell RNA sequencing has provided key insights into mammalian developmental and stem cell biology, emphasizing the analytical approaches that are specific to studying gene expression in single cells.
authors.affiliation: Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
authors.forename: Pavithra
authors.initials: P
authors.lastname: Kumar
authors.affiliation: Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
authors.forename: Yuqi
authors.initials: Y
authors.lastname: Tan
authors.affiliation: Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA patrick.cahan@jhmi.edu.
authors.forename: Patrick
authors.identifier: 0000-0003-3652-2540
authors.initials: P
authors.lastname: Cahan
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods; D047108:Embryonic Development / Q000502:physiology*; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D059010:Single-Cell Analysis / Q000379:methods*; D057905:Stem Cell Research; D013234:Stem Cells / Q000166:cytology / Q000502:physiology*
keywords: Computational biology; Gene regulatory networks; Pseudotime; RNA-Seq; Single cell; Stem cells