Stochastic models of the binding kinetics of VEGF-A to VEGFR1 and VEGFR2 in endothelial cells
Martin Lopez-Garcia, Maria Nowicka, Claus Bendtsen, Grant Lythe,, Sreenivasan Ponnambalam, Carmen Molina-Paris

TL;DR
This paper develops stochastic models to analyze VEGF-A binding and phosphorylation kinetics of VEGFR1 and VEGFR2, revealing how receptor competition influences signaling thresholds and timescales in endothelial cells.
Contribution
It introduces four novel stochastic models for VEGFR binding and phosphorylation, including matrix-analytic and Gillespie approaches, to elucidate receptor dynamics and signaling regulation.
Findings
VEGFR1 presence delays signaling threshold attainment.
Optimal ligand concentration exists for sustained phosphorylation.
VEGFR1 acts as a decoy receptor affecting VEGFR2 activation.
Abstract
Vascular endothelial growth factor receptors (VEGFRs) are receptor tyrosine kinases (RTKs) that regulate proliferation, migration, angiogenesis and vascular permeability of endothelial cells. VEGFR1 and VEGFR2 bind vascular endothelial growth factors (VEGFs), inducing receptor dimerisation and activation, characterised by phosphorylation of tyrosine residues in their cytoplasmic domain. Although experimental evidence suggests that RTK signalling occurs both on the plasma membrane and intra-cellularly, and reveals the role of endocytosis in RTK signal transduction, we still lack knowledge of VEGFR phosphorylation-site use and of the spatiotemporal regulation of VEGFR signalling. In this paper, we introduce four stochastic mathematical models to study the binding kinetics of vascular endothelial growth factor VEGF-A to VEGFR1 and VEGFR2, and phosphorylation. The formation of…
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Taxonomy
TopicsAngiogenesis and VEGF in Cancer · Mathematical Biology Tumor Growth · HER2/EGFR in Cancer Research
