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 singlecell 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.
Original language | English (US) |
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Pages (from-to) | 17-32 |
Number of pages | 16 |
Journal | Development (Cambridge) |
Volume | 144 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2017 |
Keywords
- Computational biology
- Gene regulatory networks
- Pseudotime
- RNA-seq
- Single cell
- Stem cells
ASJC Scopus subject areas
- Molecular Biology
- Developmental Biology