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      Systems-level interactions between insulin–EGF networks amplify mitogenic signaling

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          Abstract

          Crosstalk mechanisms have not been studied as thoroughly as individual signaling pathways. We exploit experimental and computational approaches to reveal how a concordant interplay between the insulin and epidermal growth factor (EGF) signaling networks can potentiate mitogenic signaling. In HEK293 cells, insulin is a poor activator of the Ras/ERK (extracellular signal-regulated kinase) cascade, yet it enhances ERK activation by low EGF doses. We find that major crosstalk mechanisms that amplify ERK signaling are localized upstream of Ras and at the Ras/Raf level. Computational modeling unveils how critical network nodes, the adaptor proteins GAB1 and insulin receptor substrate (IRS), Src kinase, and phosphatase SHP2, convert insulin-induced increase in the phosphatidylinositol-3,4,5-triphosphate (PIP 3) concentration into enhanced Ras/ERK activity. The model predicts and experiments confirm that insulin-induced amplification of mitogenic signaling is abolished by disrupting PIP 3-mediated positive feedback via GAB1 and IRS. We demonstrate that GAB1 behaves as a non-linear amplifier of mitogenic responses and insulin endows EGF signaling with robustness to GAB1 suppression. Our results show the feasibility of using computational models to identify key target combinations and predict complex cellular responses to a mixture of external cues.

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          Most cited references80

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          Specificity of receptor tyrosine kinase signaling: transient versus sustained extracellular signal-regulated kinase activation.

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          A number of different intracellular signaling pathways have been shown to be activated by receptor tyrosine kinases. These activation events include the phosphoinositide 3-kinase, 70 kDa S6 kinase, mitogen-activated protein kinase (MAPK), phospholipase C-gamma, and the Jak/STAT pathways. The precise role of each of these pathways in cell signaling remains to be resolved, but studies on the differentiation of mammalian PC12 cells in tissue culture and the genetics of cell fate determination in Drosophila and Caenorhabditis suggest that the extracellular signal-regulated kinase (ERK-regulated) MAPK pathway may be sufficient for these cellular responses. Experiments with PC12 cells also suggest that the duration of ERK activation is critical for cell signaling decisions.
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            Coordinating ERK/MAPK signalling through scaffolds and inhibitors.

            The pathway from Ras through Raf and MEK (MAPK and ERK kinase) to ERK/MAPK (extracellular signal-regulated kinase/mitogen-activated protein kinase) regulates many fundamental cellular processes. Recently, a number of scaffolding proteins and endogenous inhibitors have been identified, and their important roles in regulating signalling through this pathway are now emerging. Some scaffolds augment the signal flux, but also mediate crosstalk with other pathways; certain adaptors target MEK-ERK/MAPK complexes to subcellular localizations; others provide regulated inhibition. Computational modelling indicates that, together, these modulators can determine the dynamic biological behaviour of the pathway.
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              Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors.

              We present a computational model that offers an integrated quantitative, dynamic, and topological representation of intracellular signal networks, based on known components of epidermal growth factor (EGF) receptor signal pathways. The model provides insight into signal-response relationships between the binding of EGF to its receptor at the cell surface and the activation of downstream proteins in the signaling cascade. It shows that EGF-induced responses are remarkably stable over a 100-fold range of ligand concentration and that the critical parameter in determining signal efficacy is the initial velocity of receptor activation. The predictions of the model agree well with experimental analysis of the effect of EGF on two downstream responses, phosphorylation of ERK-1/2 and expression of the target gene, c-fos.
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                Author and article information

                Journal
                Mol Syst Biol
                Molecular Systems Biology
                Nature Publishing Group
                1744-4292
                2009
                07 April 2009
                : 5
                : 256
                Affiliations
                [1 ]Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, PA, USA
                [2 ]Institute for Theoretical Biology, Humboldt University, Berlin, Germany
                [3 ]Freiburg Institute for Advanced Science, University of Freiburg, Freiburg, Germany
                [4 ]Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia
                [5 ]UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland
                Author notes
                [a ]Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, JAH, 1020 Locust Street, Philadelphia, PA 19107, USA. Tel.: +1 215 503 1614; Fax: +1 215 923 2218; Boris.Kholodenko@ 123456jefferson.edu
                [*]

                These authors contributed equally to this work

                Article
                msb200919
                10.1038/msb.2009.19
                2683723
                19357636
                4edc6ac4-f6c3-418d-90b5-1174c00b5eee
                Copyright © 2009, EMBO and Nature Publishing Group

                This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. This licence does not permit commercial exploitation or the creation of derivative works without specific permission.

                History
                : 2 June 2008
                : 23 February 2009
                Page count
                Pages: 1
                Categories
                Article

                Quantitative & Systems biology
                crosstalk,epidermal growth factor receptor,computational modeling,insulin receptor,networks

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