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Cell Stem Cell. 2018 Aug 2;23(2):166-179. doi: 10.1016/j.stem.2018.04.014. Epub 2018 May 10.

Single-Cell Transcriptomics Meets Lineage Tracing.

Author information

1
Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, 3584 CT Utrecht, the Netherlands.
2
Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, 3584 CT Utrecht, the Netherlands. Electronic address: a.vanoudenaarden@hubrecht.eu.

Abstract

Reconstructing lineage relationships between cells within a tissue or organism is a long-standing aim in biology. Traditionally, lineage tracing has been achieved through the (genetic) labeling of a cell followed by the tracking of its offspring. Currently, lineage trajectories can also be predicted using single-cell transcriptomics. Although single-cell transcriptomics provides detailed phenotypic information, the predicted lineage trajectories do not necessarily reflect genetic relationships. Recently, techniques have been developed that unite these strategies. In this Review, we discuss transcriptome-based lineage trajectory prediction algorithms, single-cell genetic lineage tracing, and the promising combination of these techniques for stem cell and cancer research.

KEYWORDS:

lineage trajectory reconstruction; single-cell lineage tracing; single-cell mRNA sequencing

PMID:
29754780
DOI:
10.1016/j.stem.2018.04.014
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