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

Pavithra Kumar, Yuqi Tan, Patrick Cahan

Research output: Contribution to journalReview articlepeer-review

61 Scopus citations

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 languageEnglish (US)
Pages (from-to)17-32
Number of pages16
JournalDevelopment (Cambridge)
Volume144
Issue number1
DOIs
StatePublished - Jan 1 2017

Keywords

  • Computational biology
  • Gene regulatory networks
  • Pseudotime
  • RNA-seq
  • Single cell
  • Stem cells

ASJC Scopus subject areas

  • Molecular Biology
  • Developmental Biology

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