| Literature DB >> 28049689 |
Pavithra Kumar1, Yuqi Tan1, Patrick Cahan2.
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.Entities:
Keywords: Computational biology; Gene regulatory networks; Pseudotime; RNA-Seq; Single cell; Stem cells
Mesh:
Year: 2017 PMID: 28049689 PMCID: PMC5278625 DOI: 10.1242/dev.133058
Source DB: PubMed Journal: Development ISSN: 0950-1991 Impact factor: 6.868