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Cellular barcoding: lineage tracing, screening and beyond

Nature Methods volume 15, pages 871–879 (2018)Cite this article

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Abstract

Cellular barcoding is a technique in which individual cells are labeled with unique nucleic acid sequences, termed barcodes, so that they can be tracked through space and time. Cellular barcoding can be used to track millions of cells in parallel, and thus is an efficient approach for investigating heterogeneous populations of cells. Over the past 25 years, cellular barcoding has been used for fate mapping, lineage tracing and high-throughput screening, and has led to important insights into developmental biology and gene function. Driven by plummeting sequencing costs and the power of synthetic biology, barcoding is now expanding beyond traditional applications and into diverse fields such as neuroanatomy and the recording of cellular activity. In this review, we discuss the fundamental principles of cellular barcoding, including the underlying mathematics, and its applications in both new and established fields.

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Fig. 1: The mathematics underlying cellular barcoding.
Fig. 2: Strategies for in vivo barcode production.
Fig. 3: Applications of cellular barcoding.

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Acknowledgements

We thank B. Cazakoff for comments on the manuscript. This work was supported by the US National Institutes of Health (5RO1NS073129 and 5RO1DA036913 to A.M.Z.), the Brain Research Foundation (BRF-SIA-2014-03 to A.M.Z.), IARPA (MICrONS D16PC0008 to A.M.Z.), the Simons Foundation (382793/SIMONS to A.M.Z.), a Paul Allen Distinguished Investigator Award (to A.M.Z.), the Boehringer Ingelheim Fonds (PhD fellowship to J.M.K.), and the Genentech Foundation (PhD fellowship to J.M.K.).

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  1. Watson School of Biological Sciences, Cold Spring Harbor, NY, USA

    Justus M. Kebschull

  2. Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA

    Justus M. Kebschull & Anthony M. Zador

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Correspondence to Anthony M. Zador.

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Kebschull, J.M., Zador, A.M. Cellular barcoding: lineage tracing, screening and beyond. Nat Methods 15, 871–879 (2018). https://doi.org/10.1038/s41592-018-0185-x

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