Literature DB >> 17052120

Signal processing at the Ras circuit: what shapes Ras activation patterns?

N I Markevich1, G Moehren, O V Demin, A Kiyatkin, J B Hoek, B N Kholodenko.   

Abstract

A systems biology approach is applied to gain a quantitative understanding of the integration of signalling by the small GTPase Ras. The Ras protein acts as a critical switch in response to signals that determine the cell's fate. In unstimulated cells, Ras switching between an inactive GDP-binding and active GTP-binding state is controlled by the intrinsic catalytic activities of Ras. The calculated high sensitivity of the basal Ras-GTP fraction to changes in the rate constant of GTP-hydrolysis by Ras can account for the carcinogenic potential of Ras mutants with decreased GTPase activities. Extracelluar stimuli initiate Ras interactions with GDP/GTP exchange factors such as SOS, and GTP-hydrolysis activating proteins such as RasGAP. Our data on freshly isolated hepatocytes stimulated with epidermal growth factor (EGF) show transient SOS activation and sustained Ras-GTP patterns. We demonstrate that these dose-response data can only be explained by transient RasGAP activitation, and not by merely switching off the SOS signal, e.g. by inhibitory phosphorylation of SOS. A transient RasGAP activity can be brought about by a number of mechanisms. A comprehensive kinetic model of the EGF receptor (EGFR) network was developed to explore feasible molecular scenarios, including the receptor-mediated recruitment of SOS and RasGAP to the plasma membrane, phosphorylation of RasGAP and p190 RhoGAP by soluble tyrosine kinases, and RasGAP interactions with phosphoinositides and p190 RhoGAP. We show that a transient RasGAP association with EGFR followed by the capture of RasGAP through the formation of complexes with p190 RhoGAP can account for data on hepatocytes. In summary, our results demonstrate that a combination of experimental monitoring and integrated dynamic analysis is capable of dissecting regulatory mechanisms that govern cellular signal transduction.

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Year:  2004        PMID: 17052120     DOI: 10.1049/sb:20045003

Source DB:  PubMed          Journal:  Syst Biol (Stevenage)        ISSN: 1741-2471


  22 in total

Review 1.  Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway.

Authors:  Richard J Orton; Oliver E Sturm; Vladislav Vyshemirsky; Muffy Calder; David R Gilbert; Walter Kolch
Journal:  Biochem J       Date:  2005-12-01       Impact factor: 3.857

2.  Signaling through receptors and scaffolds: independent interactions reduce combinatorial complexity.

Authors:  Nikolay M Borisov; Nick I Markevich; Jan B Hoek; Boris N Kholodenko
Journal:  Biophys J       Date:  2005-05-27       Impact factor: 4.033

Review 3.  Cell-signalling dynamics in time and space.

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

4.  Goldbeter-Koshland model for open signaling cascades: a mathematical study.

Authors:  Yongfeng Li; Jeyaraman Srividhya
Journal:  J Math Biol       Date:  2010-01-06       Impact factor: 2.259

5.  Simplification of stochastic chemical reaction models with fast and slow dynamics.

Authors:  Guang Qiang Dong; Luke Jakobowski; Marco A J Iafolla; David R McMillen
Journal:  J Biol Phys       Date:  2007-09-05       Impact factor: 1.365

6.  Scaffolding protein Grb2-associated binder 1 sustains epidermal growth factor-induced mitogenic and survival signaling by multiple positive feedback loops.

Authors:  Anatoly Kiyatkin; Edita Aksamitiene; Nick I Markevich; Nikolay M Borisov; Jan B Hoek; Boris N Kholodenko
Journal:  J Biol Chem       Date:  2006-05-09       Impact factor: 5.157

7.  Open cascades as simple solutions to providing ultrasensitivity and adaptation in cellular signaling.

Authors:  Jeyaraman Srividhya; Yongfeng Li; Joseph R Pomerening
Journal:  Phys Biol       Date:  2011-05-12       Impact factor: 2.583

Review 8.  New insights into RAS biology reinvigorate interest in mathematical modeling of RAS signaling.

Authors:  Keesha E Erickson; Oleksii S Rukhlenko; Richard G Posner; William S Hlavacek; Boris N Kholodenko
Journal:  Semin Cancer Biol       Date:  2018-03-05       Impact factor: 15.707

Review 9.  Systems biology of cellular membranes: a convergence with biophysics.

Authors:  Morgan Chabanon; Jeanne C Stachowiak; Padmini Rangamani
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-05

10.  An empirical Bayesian approach for model-based inference of cellular signaling networks.

Authors:  David J Klinke
Journal:  BMC Bioinformatics       Date:  2009-11-09       Impact factor: 3.169

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