Literature DB >> 20133748

Spatio-temporal correlations can drastically change the response of a MAPK pathway.

Koichi Takahashi1, Sorin Tanase-Nicola, Pieter Rein ten Wolde.   

Abstract

Multisite covalent modification of proteins is omnipresent in eukaryotic cells. A well-known example is the mitogen-activated protein kinase (MAPK) cascade where, in each layer of the cascade, a protein is phosphorylated at two sites. It has long been known that the response of a MAPK pathway strongly depends on whether the enzymes that modify the protein act processively or distributively. A distributive mechanism, in which the enzyme molecules have to release the substrate molecules in between the modification of the two sites, can generate an ultrasensitive response and lead to hysteresis and bistability. We study by Green's Function Reaction Dynamics (GFRD), a stochastic scheme that makes it possible to simulate biochemical networks at the particle level in time and space, a dual phosphorylation cycle in which the enzymes act according to a distributive mechanism. We find that the response of this network can differ dramatically from that predicted by a mean-field analysis based on the chemical rate equations. In particular, rapid rebindings of the enzyme molecules to the substrate molecules after modification of the first site can markedly speed up the response and lead to loss of ultrasensitivity and bistability. In essence, rapid enzyme-substrate rebindings can turn a distributive mechanism into a processive mechanism. We argue that slow ADP release by the enzymes can protect the system against these rapid rebindings, thus enabling ultrasensitivity and bistability.

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Year:  2010        PMID: 20133748      PMCID: PMC2811204          DOI: 10.1073/pnas.0906885107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

1.  Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades.

Authors:  B N Kholodenko
Journal:  Eur J Biochem       Date:  2000-03

2.  Mechanistic studies of the dual phosphorylation of mitogen-activated protein kinase.

Authors:  J E Ferrell; R R Bhatt
Journal:  J Biol Chem       Date:  1997-07-25       Impact factor: 5.157

3.  Bistability, stochasticity, and oscillations in the mitogen-activated protein kinase cascade.

Authors:  Xiao Wang; Nan Hao; Henrik G Dohlman; Timothy C Elston
Journal:  Biophys J       Date:  2005-12-16       Impact factor: 4.033

4.  An allosteric model of circadian KaiC phosphorylation.

Authors:  Jeroen S van Zon; David K Lubensky; Pim R H Altena; Pieter Rein ten Wolde
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-25       Impact factor: 11.205

5.  Protein mobility in the cytoplasm of Escherichia coli.

Authors:  M B Elowitz; M G Surette; P E Wolf; J B Stock; S Leibler
Journal:  J Bacteriol       Date:  1999-01       Impact factor: 3.490

6.  The activating dual phosphorylation of MAPK by MEK is nonprocessive.

Authors:  W R Burack; T W Sturgill
Journal:  Biochemistry       Date:  1997-05-20       Impact factor: 3.162

7.  Growth factor-induced MAPK network topology shapes Erk response determining PC-12 cell fate.

Authors:  Silvia D M Santos; Peter J Verveer; Philippe I H Bastiaens
Journal:  Nat Cell Biol       Date:  2007-02-18       Impact factor: 28.824

Review 8.  Specificity of receptor tyrosine kinase signaling: transient versus sustained extracellular signal-regulated kinase activation.

Authors:  C J Marshall
Journal:  Cell       Date:  1995-01-27       Impact factor: 41.582

9.  Canalization of gene expression and domain shifts in the Drosophila blastoderm by dynamical attractors.

Authors:  Svetlana Surkova; Alexander V Spirov; Vitaly V Gursky; Hilde Janssens; Ah-Ram Kim; Ovidiu Radulescu; Carlos E Vanario-Alonso; David H Sharp; Maria Samsonova; John Reinitz
Journal:  PLoS Comput Biol       Date:  2009-03-13       Impact factor: 4.475

10.  Bistability and oscillations in the Huang-Ferrell model of MAPK signaling.

Authors:  Liang Qiao; Robert B Nachbar; Ioannis G Kevrekidis; Stanislav Y Shvartsman
Journal:  PLoS Comput Biol       Date:  2007-08-06       Impact factor: 4.475

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  98 in total

1.  The two-regime method for optimizing stochastic reaction-diffusion simulations.

Authors:  Mark B Flegg; S Jonathan Chapman; Radek Erban
Journal:  J R Soc Interface       Date:  2011-10-19       Impact factor: 4.118

2.  Modeling cellular signaling: taking space into the computation.

Authors:  Michael W Sneddon; Thierry Emonet
Journal:  Nat Methods       Date:  2012-02-28       Impact factor: 28.547

3.  Membrane clustering and the role of rebinding in biochemical signaling.

Authors:  Andrew Mugler; Aimee Gotway Bailey; Koichi Takahashi; Pieter Rein ten Wolde
Journal:  Biophys J       Date:  2012-03-06       Impact factor: 4.033

Review 4.  Spatial cycles in G-protein crowd control.

Authors:  Nachiket Vartak; Philippe Bastiaens
Journal:  EMBO J       Date:  2010-08-18       Impact factor: 11.598

5.  Reaction rates for a generalized reaction-diffusion master equation.

Authors:  Stefan Hellander; Linda Petzold
Journal:  Phys Rev E       Date:  2016-01-19       Impact factor: 2.529

6.  Single molecule simulations in complex geometries with embedded dynamic one-dimensional structures.

Authors:  Stefan Hellander
Journal:  J Chem Phys       Date:  2013-07-07       Impact factor: 3.488

7.  Intracellular regulation of cell signaling cascades: how location makes a difference.

Authors:  Yongyun Hwang; Praveen Kumar; Abdul I Barakat
Journal:  J Math Biol       Date:  2013-06-18       Impact factor: 2.259

8.  Diffusion modifies the connectivity of kinetic schemes for multisite binding and catalysis.

Authors:  Irina V Gopich; Attila Szabo
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-18       Impact factor: 11.205

9.  Theory of Diffusion-Influenced Reaction Networks.

Authors:  Irina V Gopich; Attila Szabo
Journal:  J Phys Chem B       Date:  2018-10-04       Impact factor: 2.991

10.  MOLNs: A CLOUD PLATFORM FOR INTERACTIVE, REPRODUCIBLE, AND SCALABLE SPATIAL STOCHASTIC COMPUTATIONAL EXPERIMENTS IN SYSTEMS BIOLOGY USING PyURDME.

Authors:  Brian Drawert; Michael Trogdon; Salman Toor; Linda Petzold; Andreas Hellander
Journal:  SIAM J Sci Comput       Date:  2016-06-01       Impact factor: 2.373

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