Skip to main navigation Skip to search Skip to main content

Multiscale mechanobiology: Computational models for integrating molecules to multicellular systems

  • Michael Mak
  • , Taeyoon Kim
  • , Muhammad H. Zaman
  • , Roger D. Kamm
  • Purdue University
  • Boston University
  • Massachusetts Institute of Technology

Research output: Contribution to journalReview articlepeer-review

38 Scopus citations

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.

Original languageEnglish
Pages (from-to)1093-1108
Number of pages16
JournalIntegrative Biology (United Kingdom)
Volume7
Issue number10
DOIs
StatePublished - Oct 1 2015

Fingerprint

Dive into the research topics of 'Multiscale mechanobiology: Computational models for integrating molecules to multicellular systems'. Together they form a unique fingerprint.

Cite this