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    Computational modeling of single-cell mechanics and cytoskeletal mechanobiology

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    Author
    Rajagopal, V; Holmes, WR; Lee, PVS
    Date
    2018-03-01
    Source Title
    Wiley Interdisciplinary Reviews: Systems Biology and Medicine
    Publisher
    WILEY
    University of Melbourne Author/s
    Rajagopal, Vijayaraghavan; Lee, Vee Sin
    Affiliation
    Biomedical Engineering
    Metadata
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    Document Type
    Journal Article
    Citations
    Rajagopal, V., Holmes, W. R. & Lee, P. V. S. (2018). Computational modeling of single-cell mechanics and cytoskeletal mechanobiology. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE, 10 (2), https://doi.org/10.1002/wsbm.1407.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/257588
    DOI
    10.1002/wsbm.1407
    Abstract
    Cellular cytoskeletal mechanics plays a major role in many aspects of human health from organ development to wound healing, tissue homeostasis and cancer metastasis. We summarize the state-of-the-art techniques for mathematically modeling cellular stiffness and mechanics and the cytoskeletal components and factors that regulate them. We highlight key experiments that have assisted model parameterization and compare the advantages of different models that have been used to recapitulate these experiments. An overview of feed-forward mechanisms from signaling to cytoskeleton remodeling is provided, followed by a discussion of the rapidly growing niche of encapsulating feedback mechanisms from cytoskeletal and cell mechanics to signaling. We discuss broad areas of advancement that could accelerate research and understanding of cellular mechanobiology. A precise understanding of the molecular mechanisms that affect cell and tissue mechanics and function will underpin innovations in medical device technologies of the future. WIREs Syst Biol Med 2018, 10:e1407. doi: 10.1002/wsbm.1407 This article is categorized under: Models of Systems Properties and Processes > Mechanistic Models Physiology > Mammalian Physiology in Health and Disease Models of Systems Properties and Processes > Cellular Models.

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