Literature DB >> 10972934

Mathematical modeling of epidermal growth factor receptor signaling through the phospholipase C pathway: mechanistic insights and predictions for molecular interventions.

J M Haugh1, A Wells, D A Lauffenburger.   

Abstract

Combining engineering analyses and mathematical modeling with intervention and detection methodologies at the molecular level will allow manipulation of intracellular signal transduction pathways, and therefore rational control of functional processes central to medicine and biotechnology. We have formulated a simple mathematical model of a key signaling pathway required for regulated migration of fibroblasts and other cell types: activation of the intracellular enzyme phospholipase C (PLC) mediated by epidermal growth factor receptor (EGFR) and a multitude of other transmembrane receptors. One of the interesting features of this pathway is that the substrate of PLC, the lipid phosphatidylinositol (4,5)-bisphosphate (PIP(2)), is turned over quite rapidly and must be constantly resupplied to the plasma membrane by a known transfer mechanism. The model, which accounts for regulation of PIP(2) concentration, is sufficiently detailed to explain unique quantitative features of recent experimental data. We find that competitive pathways that deplete PIP(2) from the membrane, as well as receptor-mediated enhancement of PIP(2) supply, must be significant for agreement between model and experiment. Importantly, the mechanistic nature of the model also allowed us to predict the efficacy of various molecular intervention strategies, including overexpression of wild-type and variant proteins in the pathway as well as treatment with specific drug inhibitors. For many parameter conditions the intuitive strategy of targeting the enzyme itself is actually predicted to be relatively inefficient, with a novel and potentially useful alternative being disruption of the reactant supply mechanism. Copyright 2000 John Wiley & Sons, Inc.

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Year:  2000        PMID: 10972934

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  18 in total

1.  A unified model for signal transduction reactions in cellular membranes.

Authors:  Jason M Haugh
Journal:  Biophys J       Date:  2002-02       Impact factor: 4.033

2.  KDBI: Kinetic Data of Bio-molecular Interactions database.

Authors:  Z L Ji; X Chen; C J Zhen; L X Yao; L Y Han; W K Yeo; P C Chung; H S Puy; Y T Tay; A Muhammad; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

3.  Long-range signal transmission in autocrine relays.

Authors:  Michal Pribyl; Cyrill B Muratov; Stanislav Y Shvartsman
Journal:  Biophys J       Date:  2003-02       Impact factor: 4.033

4.  Trading the micro-world of combinatorial complexity for the macro-world of protein interaction domains.

Authors:  Nikolay M Borisov; Nick I Markevich; Jan B Hoek; Boris N Kholodenko
Journal:  Biosystems       Date:  2005-10-19       Impact factor: 1.973

Review 5.  Toward predictive models of mammalian cells.

Authors:  Avi Ma'ayan; Robert D Blitzer; Ravi Iyengar
Journal:  Annu Rev Biophys Biomol Struct       Date:  2005

6.  Quantifying gene network connectivity in silico: scalability and accuracy of a modular approach.

Authors:  N Yalamanchili; D E Zak; B A Ogunnaike; J S Schwaber; A Kriete; B N Kholodenko
Journal:  Syst Biol (Stevenage)       Date:  2006-07

7.  Untangling the wires: a strategy to trace functional interactions in signaling and gene networks.

Authors:  Boris N Kholodenko; Anatoly Kiyatkin; Frank J Bruggeman; Eduardo Sontag; Hans V Westerhoff; Jan B Hoek
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-19       Impact factor: 11.205

Review 8.  Cell-signalling dynamics in time and space.

Authors:  Boris N Kholodenko
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

9.  Modeling hypertrophic IP3 transients in the cardiac myocyte.

Authors:  Michael Cooling; Peter Hunter; Edmund J Crampin
Journal:  Biophys J       Date:  2007-08-10       Impact factor: 4.033

10.  A Reaction-Diffusion Model Explains Amplification of the PLC/PKC Pathway in Fibroblast Chemotaxis.

Authors:  Krithika Mohan; Jamie L Nosbisch; Timothy C Elston; James E Bear; Jason M Haugh
Journal:  Biophys J       Date:  2017-07-11       Impact factor: 4.033

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