Title of article :
Ligand-induced coupling versus receptor pre-association: cellular automaton simulations of FGF-2 binding
Author/Authors :
Gopalakrishnan، نويسنده , , Manoj and Forsten-Williams، نويسنده , , Kimberly and Tنuber، نويسنده , , Uwe C.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
The binding of basic fibroblast growth factor (FGF-2) to its cell surface receptor (CSR) and subsequent signal transduction is known to be enhanced by heparan sulfate proteoglycans (HSPGs). HSPGs bind FGF-2 with low affinity and likely impact CSR-mediated signaling via stabilization of FGF-2–CSR complexes via association with both the ligand and the receptor. What is unknown is whether HSPG associates with CSR in the absence of FGF-2. In this paper, we determine conditions by which pre-association would impact CSR–FGF-2–HSPG triad formation assuming diffusion-limited surface reactions. Using mean-field rate equations, we show that (i) when [HSPG] is much higher than [CSR], the presence of pre-formed complexes does not affect the steady state of FGF-2 binding, and (ii) when the concentrations are comparable, the presence of pre-formed complexes substantially increases the steady-state concentration of FGF-2 bound to CSR. These findings are supported by explicit cellular automaton simulations, which justify the mean-field treatment. We discuss the advantages of such a two-receptor system compared to a single-receptor model, when the parameters are comparable. Further, we speculate that the observed high concentration of HSPG in intact cells ([HSPG]∼100[CSR]) provides a way to ensure that the binding levels of FGF-2 to its signaling receptor remains high, irrespective of the presence of pre-formed CSR–HSPG complexes on the cell surface, while allowing the cell to finely tune the response to FGF-2 via down-regulation of the signaling receptor.
Keywords :
Growth factor , dimerization , Diffusion-limited reaction , Receptor
Journal title :
Journal of Theoretical Biology
Journal title :
Journal of Theoretical Biology