Show simple item record

dc.contributor.authorSpill, Fen_US
dc.contributor.authorBakal, Cen_US
dc.contributor.authorMak, Men_US
dc.coverage.spatialNetherlandsen_US
dc.date.accessioned2019-03-06T09:37:38Z
dc.date.issued2018en_US
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/30105089en_US
dc.identifierS2001-0370(18)30032-1en_US
dc.identifier.citationComput Struct Biotechnol J, 2018, 16 pp. 237 - 245en_US
dc.identifier.issn2001-0370en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3142
dc.identifier.doi10.1016/j.csbj.2018.07.002en_US
dc.description.abstractMechanics and biochemical signaling are both often deregulated in cancer, leading toincreased cell invasiveness, proliferation, and survival. The dynamics and interactions of cytoskeletal components control basic mechanical properties, such as cell tension, stiffness, and engagement with the extracellular environment, which can lead to extracellular matrix remodeling. Intracellular mechanics can alter signaling and transcription factors, impacting cell decision making. Additionally, signaling from soluble and mechanical factors in the extracellular environment, such as substrate stiffness and ligand density, can modulate cytoskeletal dynamics. Computational models closely integrated with experimental support, incorporating cancer-specific parameters, can provide quantitative assessments and serve as predictive tools toward dissecting the feedback between signaling and mechanics and across multiple scales and domains in tumor progression.en_US
dc.format.extent237 - 245en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectCanceren_US
dc.subjectComputational modellingen_US
dc.subjectCytoskeletonen_US
dc.subjectFocal adhesionsen_US
dc.subjectMathematical biologyen_US
dc.subjectMechanobiologyen_US
dc.subjectMechanotransductionen_US
dc.subjectSignalingen_US
dc.titleMechanical and Systems Biology of Cancer.en_US
dc.typeJournal Article
dcterms.dateAccepted2018-07-11en_US
rioxxterms.versionofrecord10.1016/j.csbj.2018.07.002en_US
rioxxterms.licenseref.startdate2018en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfComput Struct Biotechnol Jen_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
pubs.publication-statusPublished onlineen_US
pubs.volume16en_US
pubs.embargo.termsNot knownen_US
icr.researchteamDynamical Cell Systemsen_US
dc.contributor.icrauthorBakal, Christopheren_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/