Repository logo
 

Thermodynamic Modeling of the Statistics of Cell Spreading on Ligand-Coated Elastic Substrates.

cam.issuedOnline2018-11-10
dc.contributor.authorMcEvoy, Eoin
dc.contributor.authorShishvan, Siamak S
dc.contributor.authorDeshpande, Vikram S
dc.contributor.authorMcGarry, J Patrick
dc.contributor.orcidMcEvoy, Eoin [0000-0002-8804-8177]
dc.contributor.orcidDeshpande, Vikram [0000-0003-3899-3573]
dc.date.accessioned2018-12-22T00:30:58Z
dc.date.available2018-12-22T00:30:58Z
dc.date.issued2018-12-18
dc.description.abstractBiological spread cells exist in a perpetually fluctuating state and therefore cannot be described in terms of a unique deterministic system. For modeling approaches to provide novel insight and uncover new mechanisms that drive cell behavior, a framework is required that progresses from traditional deterministic methods (whereby simulation of an experiment predicts a single outcome). In this study, we implement a new, to our knowledge, modeling approach for the analysis of cell spreading on ligand-coated substrates, extending the framework for nonequilibrium thermodynamics of cells developed by Shishvan et al. to include active focal adhesion assembly. We demonstrate that the model correctly predicts the coupled influence of surface collagen density and substrate stiffness on cell spreading, as reported experimentally by Engler et al. Low surface collagen densities are shown to result in a high probability that cells will be restricted to low spread areas. Furthermore, elastic free energy induced by substrate deformation lowers the probability of observing a highly spread cell, and, consequentially, lower cell tractions affect the assembly of focal adhesions. Experimentally measurable observables such as cell spread area and aspect ratio can be directly postprocessed from the computed homeostatic ensemble of (several million) spread states. This allows for the prediction of mean and SDs of such experimental observables. This class of cell mechanics modeling presents a significant advance on conventional deterministic approaches.
dc.description.sponsorshipIrish Research Council
dc.format.mediumPrint-Electronic
dc.identifier.doi10.17863/CAM.34689
dc.identifier.eissn1542-0086
dc.identifier.issn0006-3495
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287385
dc.languageeng
dc.language.isoeng
dc.publisherElsevier BV
dc.publisher.urlhttp://dx.doi.org/10.1016/j.bpj.2018.11.007
dc.subjectBiomechanical Phenomena
dc.subjectCell Size
dc.subjectCollagen
dc.subjectElasticity
dc.subjectLigands
dc.subjectModels, Biological
dc.subjectThermodynamics
dc.titleThermodynamic Modeling of the Statistics of Cell Spreading on Ligand-Coated Elastic Substrates.
dc.typeArticle
dcterms.dateAccepted2018-11-06
prism.endingPage2460
prism.issueIdentifier12
prism.publicationDate2018
prism.publicationNameBiophys J
prism.startingPage2451
prism.volume115
rioxxterms.licenseref.startdate2018-12
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1016/j.bpj.2018.11.007

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
30684_1_merged_1541618162.pdf
Size:
2.57 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Licence
http://www.rioxx.net/licenses/all-rights-reserved
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
DepositLicenceAgreementv2.1.pdf
Size:
150.9 KB
Format:
Adobe Portable Document Format