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Analyses of Tumor Burden In Vivo and Metastasis Ex Vivo Using Luciferase-Expressing Cancer Cells in an Orthotopic Mouse Model of Neuroblastoma

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Book cover RNA Imaging

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1372))

Abstract

Cancer xenograft mouse models are useful for examining and understanding tumor growth and cancer progression in vivo. With the development of bioluminescent imaging, these parameters can now be monitored noninvasively with relative ease. Herein we describe imaging of luciferase-expressing cancer cells to quantitatively measure tumor burden in vivo and metastases ex vivo. Specifically, we detail the methodology to examine the effect of shRNA-mediated knockdown of a target gene on the growth and spread of neuroblastoma tumors in immune-deficient mice.

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Acknowledgement

This work was supported by the Children’s Cancer Institute Australia, which is affiliated with the University of New South Wales (UNSW Australia) and Sydney Children’s Hospital and by grants from The Kids Cancer Project (M. Kavallaris) and Cancer Council New South Wales (M. Kavallaris). F.L. Byrne is a Hope Funds for Cancer Research Fellow supported by the Hope Funds for Cancer Research (HFCR-14-06-04) and M. Kavallaris is an NHMRC Senior Research Fellow (MK; APP1058299). M. Kavallaris is funded by the Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology (project number CE140100036). This research was supported by a Cancer Institute of New South Wales infrastructure award.

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Correspondence to Maria Kavallaris .

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Byrne, F.L., McCarroll, J.A., Kavallaris, M. (2016). Analyses of Tumor Burden In Vivo and Metastasis Ex Vivo Using Luciferase-Expressing Cancer Cells in an Orthotopic Mouse Model of Neuroblastoma. In: Medarova, Z. (eds) RNA Imaging. Methods in Molecular Biology, vol 1372. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3148-4_5

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  • DOI: https://doi.org/10.1007/978-1-4939-3148-4_5

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3147-7

  • Online ISBN: 978-1-4939-3148-4

  • eBook Packages: Springer Protocols

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