Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28527
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dc.contributor.authorHetmanski, JHR-
dc.contributor.authorSchwartz, JM-
dc.contributor.authorCaswell, PT-
dc.date.accessioned2024-03-13T11:45:17Z-
dc.date.available2024-03-13T11:45:17Z-
dc.date.issued2016-12-02-
dc.identifierORCiD: Joseph H.R. Hetmanski https://orcid.org/0000-0002-1493-351X-
dc.identifier.citationHetmanski, J.H.R., Schwartz, J.M. and Caswell, P.T. (2016) 'Modelling GTPase dynamics to understand rhoa-driven cancer cell invasion', Biochemical Society Transactions, 44 (6), pp. 1695 - 1700. doi: 10.1042/BST20160184.en_US
dc.identifier.issn0300-5127-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/28527-
dc.description.abstractMetastasis, initially driven by cells migrating and invading through the local environment, leads to most cancer-associated deaths. Cells can use a variety of modes to move in vitro, all of which depend on Rho GTPases at some level. While traditionally it was thought that Rac1 activity drives protrusive lamellipodia at the leading edge of a polarised cell while RhoA drives rear retraction, more recent work in 3D microenvironments has revealed a much more complicated picture of GTPase dynamics. In particular, RhoA activity can dominate the leading edge polymerisation of actin to form filopodial actinspike protrusions that drive more invasive cell migration. We recently described a potential mechanism to abrogate this pro-invasive localised leading edge Rac1 to RhoA switch via manipulation of a negative feedback loop that was revealed by adopting a logical modelling approach. Both challenging dogma and taking a formal, mathematical approach to understanding signalling involved in motility may be vital to harnessing harmful cell migration and preventing metastasis in future research.en_US
dc.format.extent1695 - 1700-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherPortland Press Limited on behalf of the Biochemical Societyen_US
dc.rightsCopyright © 2016 The Author(s). This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0-
dc.subjectbiological networksen_US
dc.subjectBoolean logicen_US
dc.subjectcell migrationen_US
dc.subjectfilopodiaen_US
dc.subjectRhoAen_US
dc.titleModelling GTPase dynamics to understand rhoa-driven cancer cell invasionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1042/BST20160184-
dc.relation.isPartOfBiochemical Society Transactions-
pubs.issue6-
pubs.publication-statusPublished-
pubs.volume44-
dc.identifier.eissn1470-8752-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0legalcode.en-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Life Sciences Research Papers

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