Computational Model of Gab1/2-Dependent VEGFR2 Pathway to Akt Activation.

dc.contributor.authorTan, Wan Hua
dc.contributor.authorPopel, Aleksander S.
dc.contributor.authorMac Gabhann, Feilim
dc.date.accessioned2014-04-02T11:55:00Z
dc.date.available2014-04-02T11:55:00Z
dc.date.issued2013-06-21
dc.descriptionPMC3689841en_US
dc.description.abstractVascular endothelial growth factor (VEGF) signal transduction is central to angiogenesis in development and in pathological conditions such as cancer, retinopathy and ischemic diseases. However, no detailed mass-action models of VEGF receptor signaling have been developed. We constructed and validated the first computational model of VEGFR2 trafficking and signaling, to study the opposing roles of Gab1 and Gab2 in regulation of Akt phosphorylation in VEGF-stimulated endothelial cells. Trafficking parameters were optimized against 5 previously published in vitro experiments, and the model was validated against six independent published datasets. The model showed agreement at several key nodes, involving scaffolding proteins Gab1, Gab2 and their complexes with Shp2. VEGFR2 recruitment of Gab1 is greater in magnitude, slower, and more sustained than that of Gab2. As Gab2 binds VEGFR2 complexes more transiently than Gab1, VEGFR2 complexes can recycle and continue to participate in other signaling pathways. Correspondingly, the simulation results show a log-linear relationship between a decrease in Akt phosphorylation and Gab1 knockdown while a linear relationship was observed between an increase in Akt phosphorylation and Gab2 knockdown. Global sensitivity analysis demonstrated the importance of initial-concentration ratios of antagonistic molecular species (Gab1/Gab2 and PI3K/Shp2) in determining Akt phosphorylation profiles. It also showed that kinetic parameters responsible for transient Gab2 binding affect the system at specific nodes. This model can be expanded to study multiple signaling contexts and receptor crosstalk and can form a basis for investigation of therapeutic approaches, such as tyrosine kinase inhibitors (TKIs), overexpression of key signaling proteins or knockdown experiments.en_US
dc.description.sponsorshipJH Libraries Open Access Funden_US
dc.identifier.citationDOI: 10.1371/journal.pone.0067438en_US
dc.identifier.issn1932-6203
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/36725
dc.language.isoen_USen_US
dc.publisherPLoS Organizationen_US
dc.relation.ispartofseriesPLoS ONE;v. 8 no. 6 p. e67438
dc.subjectAKT signaling cascadeen_US
dc.subjectBiochemical simulationsen_US
dc.subjectChemical dissociationen_US
dc.subjectEndothelial cellsen_US
dc.subjectMAPK signaling cascadesen_US
dc.subjectPhosphorylationen_US
dc.subjectSensory receptorsen_US
dc.subjectVEGF signalingen_US
dc.titleComputational Model of Gab1/2-Dependent VEGFR2 Pathway to Akt Activation.en_US
dc.typeArticleen_US
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