TY - JOUR
T1 - A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
AU - Shadaloey, Arman Alberto Sorin
AU - Karz, Alcida
AU - Moubarak, Rana S.
AU - Agrawal, Praveen
AU - Levinson, Grace
AU - Kleffman, Kevin
AU - Aristizabal, Orlando
AU - Osman, Iman
AU - Wadghiri, Youssef Z.
AU - Hernando, Eva
N1 - Funding Information:
We thank the Division of Advanced Research Technologies (DART) at NYU Langone Health, and in particular, the Experimental Pathology Research Laboratory, Genome Technology Center, Cytometry and Cell Sorting Laboratory, Pre-Clinical Imaging Core, which are partially supported by the Perlmutter Cancer Center Support Grant NIH/ NCI 5P30CA016087. We thank the NYU Interdisciplinary Melanoma Cooperative Group (PI: Dr. Iman Osman) for providing access to patient-derived melanoma short-term cultures+ (10-230BM and 12-273BM), which were obtained through IRB-approved protocols (Universal Consent study #s16-00122 and Interdisciplinary Melanoma Cooperative Group study #10362). We thank Dr. Robert Kerbel (University of Toronto) for providing 113/6-4L and 131/4-5B1 melanoma cell lines* and Dr. Meenhard Herlyn (Wistar Institute) for providing WM 4265-2, WM 4257s-1, WM 4257-2 melanoma short-term cultures**. E.H. is supported by NIH/ NCI R01CA243446, P01CA206980, an American Cancer Society-Melanoma Research Alliance Team Science Award, and an NIH Melanoma SPORE (NCI P50 CA225450; PI: I.O.). Figure 1 was created with Biorender.com.
Publisher Copyright:
© 2022 JoVE Journal of Visualized Experiments.
PY - 2022/3
Y1 - 2022/3
N2 - Metastasis is a complex process, requiring cells to overcome barriers that are only incompletely modeled by in vitro assays. A systematic workflow was established using robust, reproducible in vivo models and standardized methods to identify novel players in melanoma metastasis. This approach allows for data inference at specific experimental stages to precisely characterize a gene's role in metastasis. Models are established by introducing genetically modified melanoma cells via intracardiac, intradermal, or subcutaneous injections into mice, followed by monitoring with serial in vivo imaging. Once preestablished endpoints are reached, primary tumors and/ or metastases-bearing organs are harvested and processed for various analyses. Tumor cells can be sorted and subjected to any of several 'omics' platforms, including single-cell RNA sequencing. Organs undergo imaging and immunohistopathological analyses to quantify the overall burden of metastases and map their specific anatomic location. This optimized pipeline, including standardized protocols for engraftment, monitoring, tissue harvesting, processing, and analysis, can be adopted for patient-derived, short-term cultures and established human and murine cell lines of various solid cancer types.
AB - Metastasis is a complex process, requiring cells to overcome barriers that are only incompletely modeled by in vitro assays. A systematic workflow was established using robust, reproducible in vivo models and standardized methods to identify novel players in melanoma metastasis. This approach allows for data inference at specific experimental stages to precisely characterize a gene's role in metastasis. Models are established by introducing genetically modified melanoma cells via intracardiac, intradermal, or subcutaneous injections into mice, followed by monitoring with serial in vivo imaging. Once preestablished endpoints are reached, primary tumors and/ or metastases-bearing organs are harvested and processed for various analyses. Tumor cells can be sorted and subjected to any of several 'omics' platforms, including single-cell RNA sequencing. Organs undergo imaging and immunohistopathological analyses to quantify the overall burden of metastases and map their specific anatomic location. This optimized pipeline, including standardized protocols for engraftment, monitoring, tissue harvesting, processing, and analysis, can be adopted for patient-derived, short-term cultures and established human and murine cell lines of various solid cancer types.
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U2 - 10.3791/63186
DO - 10.3791/63186
M3 - Article
C2 - 35343960
AN - SCOPUS:85127299740
SN - 1940-087X
VL - 2022
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 181
M1 - e63186
ER -