Abstract
Purpose
In this study, we evaluated a genetic approach for in vivo multimodal molecular imaging of vasculature in a mouse model of melanoma.
Procedures
We used a novel transgenic mouse, Ts-Biotag, that genetically biotinylates vascular endothelial cells. After inoculating these mice with B16 melanoma cells, we selectively targeted endothelial cells with (strept)avidinated contrast agents to achieve multimodal contrast enhancement of Tie2-expressing blood vessels during tumor progression.
Results
This genetic targeting system provided selective labeling of tumor vasculature and showed in vivo binding of avidinated probes with high specificity and sensitivity using microscopy, near infrared, ultrasound, and magnetic resonance imaging. We further demonstrated the feasibility of conducting longitudinal three-dimensional (3D) targeted imaging studies to dynamically assess changes in vascular Tie2 from early to advanced tumor stages.
Conclusions
Our results validated the Ts-Biotag mouse as a multimodal targeted imaging system with the potential to provide spatio-temporal information about dynamic changes in vasculature during tumor progression.
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Acknowledgments
This research was supported by NIH grant R01HL078665 (to DHT). The authors thank Dr. Michelle Krogsgaard (NYU School of Medicine, NYUSoM) for providing the B16 melanoma cells and Dr. Eva Hernando (NYUSoM) for scientific guidance. We thank the Preclinical Imaging Core (NYUSoM) for help with the in vivo imaging and the Histopathology Core (NYUSoM) for help with the histology and IHC analyses. Finally, we thank Daniel Colon and Kristy Mungal for technical assistance with segmentation and volumetric analysis.
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All mice used in this study were maintained under protocols approved by the Institutional Animal Care and Use Committee at New York University School of Medicine.
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The authors declare that they have no conflict of interest.
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Suero-Abreu, G.A., Aristizábal, O., Bartelle, B.B. et al. Multimodal Genetic Approach for Molecular Imaging of Vasculature in a Mouse Model of Melanoma. Mol Imaging Biol 19, 203–214 (2017). https://doi.org/10.1007/s11307-016-1006-1
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DOI: https://doi.org/10.1007/s11307-016-1006-1