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Nature Reviews Genetics
Article . 2017 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Building a lineage from single cells: genetic techniques for cell lineage tracking

Authors: Mollie B, Woodworth; Kelly M, Girskis; Christopher A, Walsh;

Building a lineage from single cells: genetic techniques for cell lineage tracking

Abstract

Resolving lineage relationships between cells in an organism is a fundamental interest of developmental biology. Furthermore, investigating lineage can drive understanding of pathological states, including cancer, as well as understanding of developmental pathways that are amenable to manipulation by directed differentiation. Although lineage tracking through the injection of retroviral libraries has long been the state of the art, a recent explosion of methodological advances in exogenous labelling and single-cell sequencing have enabled lineage tracking at larger scales, in more detail, and in a wider range of species than was previously considered possible. In this Review, we discuss these techniques for cell lineage tracking, with attention both to those that trace lineage forwards from experimental labelling, and those that trace backwards across the life history of an organism.

Related Organizations
Keywords

Genetic Techniques, Animals, Humans, Cell Differentiation, Cell Lineage, Single-Cell Analysis, Developmental Biology

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    215
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
215
Top 1%
Top 10%
Top 0.1%
bronze