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dc.contributor.authorKim, Taeyoon
dc.contributor.authorZaman, Muhammad H.
dc.contributor.authorMak, Michael
dc.contributor.authorKamm, Roger Dale
dc.date.accessioned2017-03-17T16:12:08Z
dc.date.available2017-03-17T16:12:08Z
dc.date.issued2015-10
dc.date.submitted2015-02
dc.identifier.issn1757-9694
dc.identifier.issn1757-9708
dc.identifier.urihttp://hdl.handle.net/1721.1/107468
dc.description.abstractMechanical 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.en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (U01-CA177799)en_US
dc.language.isoen_US
dc.publisherRoyal Society of Chemistry, Theen_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/c5ib00043ben_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleMultiscale mechanobiology: computational models for integrating molecules to multicellular systemsen_US
dc.typeArticleen_US
dc.identifier.citationMak, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.approverKamm, Roger Daleen_US
dc.contributor.mitauthorMak, Michael
dc.contributor.mitauthorKamm, Roger Dale
dc.relation.journalIntegrative Biologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMak, Michael; Kim, Taeyoon; Zaman, Muhammad H.; Kamm, Roger D.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6719-9929
dc.identifier.orcidhttps://orcid.org/0000-0002-7232-304X
mit.licenseOPEN_ACCESS_POLICYen_US


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