Literature DB >> 17341641

Competition effects shape the response sensitivity and kinetics of phosphorylation cycles in cell signaling.

Carlos Salazar1, Thomas Höfer.   

Abstract

Phosphorylation cycles are a core component of cell signaling networks. The response sensitivity and kinetics of these cycles are controlled by thermodynamic, kinetic, and structural factors, including binding affinities, catalytic activities, and the phosphorylation order of multiple sites. Based on mathematical models, we interpret the role of these factors in terms of competition effects. For the regulation of a single phosphorylation site, two kinds of competition effects turn out to shape behavior: the competition between kinase and phosphatase to bind the substrate, and the competition between the distinct phosphorylation forms of the substrate for binding to either enzyme. Depending on the concentrations and mutual affinities of the enzymes and the target, the response function can be graded, ultrasensitive, or biphasic. In multiply phosphorylatable proteins, additional factors generating competition effects are present and more complex responses can be obtained. For example, the combination of a cooperative kinetics with the conditions for zero-order ultrasensitivity may yield a bistable response. We show that a repeated competition between kinase and phosphatase for binding the substrate and/or between the phosphorylation and dephosphorylation reactions at each phosphorylation site generally result in a threshold response. The phosphorylation time is also strongly affected by the kinetic design of the cycle. In particular, threshold responses are generally associated with very long phosphorylation times. We also argue here that a description in terms of elementary binding and reaction steps is required for an appropriate analysis of these cycles in cell signaling.

Mesh:

Year:  2006        PMID: 17341641     DOI: 10.1196/annals.1378.093

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  10 in total

1.  Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates.

Authors:  Evgeny Kanshin; Sébastien Giguère; Cheng Jing; Mike Tyers; Pierre Thibault
Journal:  Mol Cell Proteomics       Date:  2017-03-06       Impact factor: 5.911

2.  Robust spindle alignment in Drosophila neuroblasts by ultrasensitive activation of pins.

Authors:  Nicholas R Smith; Kenneth E Prehoda
Journal:  Mol Cell       Date:  2011-08-19       Impact factor: 17.970

3.  The robustness of proofreading to crowding-induced pseudo-processivity in the MAPK pathway.

Authors:  Thomas E Ouldridge; Pieter Rein ten Wolde
Journal:  Biophys J       Date:  2014-11-18       Impact factor: 4.033

4.  Minimal models for cell-cycle control based on competitive inhibition and multisite phosphorylations of Cdk substrates.

Authors:  Claude Gérard; John J Tyson; Béla Novák
Journal:  Biophys J       Date:  2013-03-19       Impact factor: 4.033

5.  Protein interaction switches coordinate Raf-1 and MST2/Hippo signalling.

Authors:  David Romano; Lan K Nguyen; David Matallanas; Melinda Halasz; Carolanne Doherty; Boris N Kholodenko; Walter Kolch
Journal:  Nat Cell Biol       Date:  2014-06-15       Impact factor: 28.824

6.  An overlapping kinase and phosphatase docking site regulates activity of the retinoblastoma protein.

Authors:  Alexander Hirschi; Matthew Cecchini; Rachel C Steinhardt; Michael R Schamber; Frederick A Dick; Seth M Rubin
Journal:  Nat Struct Mol Biol       Date:  2010-08-08       Impact factor: 15.369

Review 7.  Ultrasensitivity part I: Michaelian responses and zero-order ultrasensitivity.

Authors:  James E Ferrell; Sang Hoon Ha
Journal:  Trends Biochem Sci       Date:  2014-09-18       Impact factor: 13.807

8.  Competing docking interactions can bring about bistability in the MAPK cascade.

Authors:  Stefan Legewie; Birgit Schoeberl; Nils Blüthgen; Hanspeter Herzel
Journal:  Biophys J       Date:  2007-05-25       Impact factor: 4.033

Review 9.  Integrating phosphoproteomics in systems biology.

Authors:  Yu Liu; Mark R Chance
Journal:  Comput Struct Biotechnol J       Date:  2014-08-01       Impact factor: 7.271

Review 10.  The crucial role of protein phosphorylation in cell signaling and its use as targeted therapy (Review).

Authors:  Fatima Ardito; Michele Giuliani; Donatella Perrone; Giuseppe Troiano; Lorenzo Lo Muzio
Journal:  Int J Mol Med       Date:  2017-06-22       Impact factor: 4.101

  10 in total

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