Literature DB >> 19523976

Bistability by multiple phosphorylation of regulatory proteins.

Orsolya Kapuy1, Debashis Barik, Maria Rosa Domingo Sananes, John J Tyson, Béla Novák.   

Abstract

The activity of a protein can be reversibly modulated by post-translational, covalent modifications, such as phosphorylation and dephosphorylation. In many cases, the modulated protein may be phosphorylated by the same kinase on many different amino acid residues. Such multisite phosphorylations may occur progressively (during a single binding event of kinase to substrate) or distributively (the kinase dissociates from its substrate after each phosphorylation reaction). If a protein is phosphorylated by a distributive multisite mechanism, then the net activity of a population of these protein molecules can be a highly nonlinear function of the ratio of activities of the kinase and phosphatase enzymes. If the multiply phosphorylated protein is embedded in a positive feedback loop with its kinase and/or phosphatase, then the network may exhibit robust bistable behavior. Using numerical simulations and bifurcation theory, we study the properties of a particular bistable reaction network motivated by the antagonistic relationship between cyclin-dependent kinase and its multiply phosphorylated target, Cdh1, which is involved in the degradation of cyclin molecules. We characterize the bistable switch in terms of (i) the mechanism of distributive phosphorylation (ordered or disordered), (ii) the number of phosphorylation sites on the target protein, (iii) the effect of phosphorylation on the target protein (abrupt or progressive inactivation), and (iv) the effects of stochastic fluctuations in small cells with limited numbers of kinase, phosphatase and target proteins.

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Year:  2009        PMID: 19523976      PMCID: PMC2784190          DOI: 10.1016/j.pbiomolbio.2009.06.004

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  25 in total

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Authors:  A Kumagai; W G Dunphy
Journal:  Cell       Date:  1992-07-10       Impact factor: 41.582

2.  Multisite protein phosphorylation makes a good threshold but can be a poor switch.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-29       Impact factor: 11.205

3.  Substrate competition as a source of ultrasensitivity in the inactivation of Wee1.

Authors:  Sun Young Kim; James E Ferrell
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Review 4.  The ubiquitin system.

Authors:  A Hershko; A Ciechanover
Journal:  Annu Rev Biochem       Date:  1998       Impact factor: 23.643

Review 5.  Tripping the switch fantastic: how a protein kinase cascade can convert graded inputs into switch-like outputs.

Authors:  J E Ferrell
Journal:  Trends Biochem Sci       Date:  1996-12       Impact factor: 13.807

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Authors:  A Goldbeter; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1981-11       Impact factor: 11.205

7.  The role of phosphorylation and the CDC28 protein kinase in cell cycle-regulated nuclear import of the S. cerevisiae transcription factor SWI5.

Authors:  T Moll; G Tebb; U Surana; H Robitsch; K Nasmyth
Journal:  Cell       Date:  1991-08-23       Impact factor: 41.582

Review 8.  Evolution of protein kinase signaling from yeast to man.

Authors:  Gerard Manning; Gregory D Plowman; Tony Hunter; Sucha Sudarsanam
Journal:  Trends Biochem Sci       Date:  2002-10       Impact factor: 13.807

9.  Signaling switches and bistability arising from multisite phosphorylation in protein kinase cascades.

Authors:  Nick I Markevich; Jan B Hoek; Boris N Kholodenko
Journal:  J Cell Biol       Date:  2004-01-26       Impact factor: 10.539

10.  Mechanism of cooperative oxygen binding to hemoglobin (spin-labeled triphosphate-concerted transition model-hemoglobin chesapeake).

Authors:  R T Ogata; H M McConnell
Journal:  Proc Natl Acad Sci U S A       Date:  1972-02       Impact factor: 11.205

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  40 in total

Review 1.  Switches and latches: a biochemical tug-of-war between the kinases and phosphatases that control mitosis.

Authors:  Maria Rosa Domingo-Sananes; Orsolya Kapuy; Tim Hunt; Bela Novak
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-12-27       Impact factor: 6.237

2.  Enzyme-sharing as a cause of multi-stationarity in signalling systems.

Authors:  Elisenda Feliu; Carsten Wiuf
Journal:  J R Soc Interface       Date:  2011-11-02       Impact factor: 4.118

3.  Integrating multiple signals into cell decisions by networks of protein modification cycles.

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Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

4.  Nonessential sites improve phosphorylation switch.

Authors:  Liming Wang; Qing Nie; German Enciso
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

Review 5.  Modeling the dynamic behavior of biochemical regulatory networks.

Authors:  John J Tyson; Teeraphan Laomettachit; Pavel Kraikivski
Journal:  J Theor Biol       Date:  2018-11-28       Impact factor: 2.691

Review 6.  How cells process information: quantification of spatiotemporal signaling dynamics.

Authors:  Ambhighainath Ganesan; Jin Zhang
Journal:  Protein Sci       Date:  2012-06-05       Impact factor: 6.725

Review 7.  Dissipative structures in biological systems: bistability, oscillations, spatial patterns and waves.

Authors:  Albert Goldbeter
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-07-28       Impact factor: 4.226

8.  Exploring the intrinsic behaviour of multisite phosphorylation systems as part of signalling pathways.

Authors:  Thapanar Suwanmajo; J Krishnan
Journal:  J R Soc Interface       Date:  2018-06       Impact factor: 4.118

Review 9.  Regulated protein kinases and phosphatases in cell cycle decisions.

Authors:  Bela Novak; Orsolya Kapuy; Maria Rosa Domingo-Sananes; John J Tyson
Journal:  Curr Opin Cell Biol       Date:  2010-08-02       Impact factor: 8.382

10.  Computational analysis of an autophagy/translation switch based on mutual inhibition of MTORC1 and ULK1.

Authors:  Paulina Szymańska; Katie R Martin; Jeffrey P MacKeigan; William S Hlavacek; Tomasz Lipniacki
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

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