Multiscale mechanobiology: computational models for integrating molecules to multicellular systems
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Kamm_Multiscale mechanobiology.pdf
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Author(s)
Kim, Taeyoon
Zaman, Muhammad H.
Mak, Michael
Kamm, Roger Dale
Date Issued
October 2015
Journal
Integrative Biology
Publisher
Royal Society of Chemistry, The
Citation
Mak, Michael, Taeyoon Kim, Muhammad H. Zaman, and Roger D. Kamm. “Multiscale Mechanobiology: Computational Models for Integrating Molecules to Multicellular Systems.” Integr. Biol. 7, no. 10 (2015): 1093–1108.
Version
Author's final manuscript
Abstract
Mechanical signals exist throughout the biological landscape. Across all scales, these signals, in the form of force, stiffness, and deformations, are generated and processed, resulting in an active mechanobiological circuit that controls many fundamental aspects of life, from protein unfolding and cytoskeletal remodeling to collective cell motions. The multiple scales and complex feedback involved present a challenge for fully understanding the nature of this circuit, particularly in development and disease in which it has been implicated. Computational models that accurately predict and are based on experimental data enable a means to integrate basic principles and explore fine details of mechanosensing and mechanotransduction in and across all levels of biological systems. Here we review recent advances in these models along with supporting and emerging experimental findings.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1039/c5ib00043b
