Publications Search

Search for publications by author
Search for publications by abstract keyword(s)

Integrating single-cell genomics pipelines to discover mechanisms of stem cell differentiation


Pluripotent stem cells underpin a growing sector that leverages their differentiation potential for research, industry, and clinical applications. This review evaluates the landscape of methods in single-cell transcriptomics that are enabling accelerated discovery in stem cell science. We focus on strategies for scaling stem cell differentiation through multiplexed single-cell analyses, for evaluating molecular regulation of cell differentiation using new analysis algorithms, and methods for integration and projection analysis to classify and benchmark stem cell derivatives against in vivo cell types. By discussing the available methods, comparing their strengths, and illustrating strategies for developing integrated analysis pipelines, we provide user considerations to inform their implementation and interpretation.

Type Journal
ISBN 1471-499X (Electronic) 1471-4914 (Linking)
Authors Shen, S.; Sun, Y.; Matsumoto, M.; Shim, W. J.; Sinniah, E.; Wilson, S. B.; Werner, T.; Wu, Z.; Bradford, S. T.; Hudson, J.; Little, M. H.; Powell, J.; Nguyen, Q.; Palpant, N. J.
Responsible Garvan Author Prof Joseph Powell
Published Date 2021-12-31
Published Volume 27
Published Issue 12
Published Pages 1135-1158
Status Published in-print
DOI 10.1016/j.molmed.2021.09.006
URL link to publisher's version