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Development. 2017 Jan 1;144(1):17-32. doi: 10.1242/dev.133058.

Understanding development and stem cells using single cell-based analyses of gene expression.

Author information

1
Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
2
Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA patrick.cahan@jhmi.edu.

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.

KEYWORDS:

Computational biology; Gene regulatory networks; Pseudotime; RNA-Seq; Single cell; Stem cells

PMID:
28049689
PMCID:
PMC5278625
DOI:
10.1242/dev.133058
[Indexed for MEDLINE]
Free PMC Article

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