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Int. J. Mol. Sci. 2018, 19(5), 1469; https://doi.org/10.3390/ijms19051469

Spatiotemporal Labeling of Melanocytes in Mice

Fels Institute for Cancer Research & Molecular Biology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
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Received: 23 April 2018 / Revised: 8 May 2018 / Accepted: 10 May 2018 / Published: 15 May 2018
(This article belongs to the Special Issue Animal Models of Melanoma)
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Abstract

Melanocytes are pigment producing cells in the skin that give rise to cutaneous malignant melanoma, which is a highly aggressive and the deadliest form of skin cancer. Studying melanocytes in vivo is often difficult due to their small proportion in the skin and the lack of specific cell surface markers. Several genetically-engineered mouse models (GEMMs) have been created to specifically label the melanocyte compartment. These models give both spatial and temporal control over the expression of a cellular ‘beacon’ that has an added benefit of inducible expression that can be activated on demand. Two powerful models that are discussed in this review include the melanocyte-specific, tetracycline-inducible green fluorescent protein expression system (iDct-GFP), and the fluorescent ubiquitination-based cell cycle indicator (FUCCI) model that allows for the monitoring of the cell-cycle. These two systems are powerful tools in studying melanocyte and melanoma biology. We discuss their current uses and how they could be employed to help answer unresolved questions in the fields of melanocyte and melanoma biology. View Full-Text
Keywords: melanoma; melanocyte; genetically engineered mouse models; iDct-GFP; FUCCI melanoma; melanocyte; genetically engineered mouse models; iDct-GFP; FUCCI
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Preston, S.; Aras, S.; Zaidi, M.R. Spatiotemporal Labeling of Melanocytes in Mice. Int. J. Mol. Sci. 2018, 19, 1469.

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