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Published June 1, 2019 | Accepted Version
Journal Article Open

Multiplex clonal analysis in the chick embryo using retrovirally-mediated combinatorial labeling

Abstract

Lineage analysis plays a central role in exploring the developmental potential of stem and progenitor cell populations. In higher vertebrates, a variety of techniques have been used to label individual cells or cell populations, including interspecies grafting, intracellular microinjection, and Cre-mediated recombination. However, these approaches often suffer from difficulties in progenitor cell targeting, low cellular resolution and/or ectopic labeling. To circumvent these issues, here we utilize replication incompetent avian (RIA) retroviruses to deliver combinations of fluorescent proteins into distinct cellular compartments in chick embryos. In particular, RIA-mediated lineage tracing is optimal for long term mapping of dispersing cell populations like the neural crest. Using this tool, we confirm that trunk neural crest cells are multipotent. Furthermore, our RIA vector is engineered to be fully adaptable for other purposes such as cell fate analysis, gene perturbation studies and time-lapse imaging. Taken together, we present a novel approach of multiplex lineage analysis that can be applied to normal and perturbed development of diverse cell populations in avian embryos.

Additional Information

© 2019 Published by Elsevier Inc. Received 6 December 2018, Revised 11 March 2019, Accepted 12 March 2019, Available online 15 March 2019. Author contributions: W.T., Y.L. and M.E.B conceived the project. W.T., Y.L. and S.G performed the experiments. W.T., Y.L. and M.E.B wrote the paper with consultation from S.G. This work is supported by NIHR01DE027568 and NIHRO1HL14058 to M.E.B and American Heart Association predoctoral fellowship 18PRE34050063 to S.G. The authors declare no competing interests. We thank Alison Koontz for providing insightful suggestions on probability calculation, Can Li, Felipe Vieceli, David Miller for technical support. We thank Carlos Lois laboratory and Caltech Biological Imaging Facility for sharing equipment.

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August 19, 2023
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