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Computational Simulation of Tumor-Induced Angiogenesis

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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2553))

Abstract

Cancer cells require higher oxygen levels and nutrition than normal cells. Cancer cells induce angiogenesis (the development of new blood vessels) from preexisting vessels. This biological process depends on the special, chemical, and physical properties of the microenvironment surrounding tumor tissues. The complexity of these properties hinders an understanding of their mechanisms. Various mathematical models have been developed to describe quantitative relationships related to angiogenesis. We developed a three-dimensional mathematical model that incorporates angiogenesis and tumor growth. We examined angiopoietin, which regulates the spouting and branching events in angiogenesis. The simulation successfully reproduced the transient decrease in new vessels during vascular network formation. This chapter describes the protocol used to perform the simulations.

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Acknowledgment

This research was funded by grants from JSPS KAKENHI (grant numbers 20B205).

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Authors and Affiliations

  1. Institute of Medical Science, Tokyo Medical University, Shinjuku, Tokyo, Japan

    Masahiro Sugimoto

  2. Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan

    Masahiro Sugimoto

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  1. Masahiro Sugimoto
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Editors and Affiliations

  1. Bioinformatics Institute, Agency for Science, Technology & Research, Singapore, Singapore

    Kumar Selvarajoo

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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Sugimoto, M. (2023). Computational Simulation of Tumor-Induced Angiogenesis. In: Selvarajoo, K. (eds) Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology. Methods in Molecular Biology, vol 2553. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2617-7_14

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  • DOI: https://doi.org/10.1007/978-1-0716-2617-7_14

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2616-0

  • Online ISBN: 978-1-0716-2617-7

  • eBook Packages: Springer Protocols

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