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Curr Opin Genet Dev. 2017 Oct;46:66-76. doi: 10.1016/j.gde.2017.06.003. Epub 2017 Jul 1.

Single cell transcriptomics of pluripotent stem cells: reprogramming and differentiation.

Author information

1
Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK; European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK. Electronic address: knn@sanger.ac.uk.
2
Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK; European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK; Department of Physics, The Cavendish Laboratory, University of Cambridge, UK.
3
Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK; European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.

Abstract

Single-cell transcriptomics serves as a powerful tool to identify cell states within populations of cells, and to dissect underlying heterogeneity at high resolution. Single-cell transcriptomics on pluripotent stem cells has provided new insights into cellular variation, subpopulation structures and the interplay of cell cycle with pluripotency. The single-cell perspective has helped to better understand gene regulation and regulatory networks during exit from pluripotency, cell-fate determination as well as molecular mechanisms driving cellular reprogramming of somatic cells to induced pluripotent stage. Here we review the recent progress and significant findings from application of single-cell technologies on pluripotent stem cells along with a brief outlook on new combinatorial single-cell approaches that further unravel pluripotent stem cell states.

PMID:
28675884
DOI:
10.1016/j.gde.2017.06.003
[Indexed for MEDLINE]

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