A Versatile ES Cell-Based Melanoma Mouse Modeling Platform

The cumbersome and time-consuming process of generating new mouse strains and multiallelic experimental animals often hinders the use of genetically engineered mouse models (GEMM) in cancer research. Here, we describe the development and validation of an embryonic stem cell (ESC)-GEMM platform for r...

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Veröffentlicht in:Cancer research (Chicago, Ill.) Ill.), 2020-02, Vol.80 (4), p.912-921
Hauptverfasser: Bok, Ilah, Vera, Olga, Xu, Xiaonan, Jasani, Neel, Nakamura, Koji, Reff, Jordan, Nenci, Arianna, Gonzalez, Jose G, Karreth, Florian A
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Sprache:eng
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Zusammenfassung:The cumbersome and time-consuming process of generating new mouse strains and multiallelic experimental animals often hinders the use of genetically engineered mouse models (GEMM) in cancer research. Here, we describe the development and validation of an embryonic stem cell (ESC)-GEMM platform for rapid modeling of melanoma in mice. The platform incorporates 12 clinically relevant genotypes composed of combinations of four driver alleles (LSL-Braf , LSL-Nras , Pten , and Cdkn2a ) and regulatory alleles to spatiotemporally control the perturbation of genes of interest. The ESCs produce high-contribution chimeras, which recapitulate the melanoma phenotypes of conventionally bred mice. Using the ESC-GEMM platform to modulate Pten expression in melanocytes , we highlighted the utility and advantages of gene depletion by CRISPR-Cas9, RNAi, or conditional knockout for melanoma modeling. Moreover, complementary genetic methods demonstrated the impact of Pten restoration on the prevention and maintenance of -deficient melanomas. Finally, we showed that chimera-derived melanoma cell lines retain regulatory allele competency and are a powerful resource to complement ESC-GEMM chimera experiments and in syngeneic grafts Thus, when combined with sophisticated genetic tools, the ESC-GEMM platform enables rapid, high-throughput, and versatile studies aimed at addressing outstanding questions in melanoma biology. This study presents a high-throughput and versatile ES cell-based mouse modeling platform that can be combined with state-of-the-art genetic tools to address unanswered questions in melanoma .
ISSN:0008-5472
1538-7445
DOI:10.1158/0008-5472.CAN-19-2924