Literature DB >> 17257173

Versatile regulation of multisite protein phosphorylation by the order of phosphate processing and protein-protein interactions.

Carlos Salazar1, Thomas Höfer.   

Abstract

Multisite protein phosphorylation is a common regulatory mechanism in cell signaling, and dramatically increases the possibilities for protein-protein interactions, conformational regulation, and phosphorylation pathways. However, there is at present no comprehensive picture of how these factors shape the response of a protein's phosphorylation state to changes in kinase and phosphatase activities. Here we provide a mathematical theory for the regulation of multisite protein phosphorylation based on the mechanistic description of elementary binding and catalytic steps. Explicit solutions for the steady-state response curves and characteristic (de)phosphorylation times have been obtained in special cases. The order of phosphate processing and the characteristics of protein-protein interactions turn out to be of overriding importance for both sensitivity and speed of response. Random phosphate processing gives rise to shallow response curves, favoring intermediate phosphorylation states of the target, and rapid kinetics. Sequential processing is characterized by steeper response curves and slower kinetics. We show systematically how qualitative differences in target phosphorylation--including graded, switch-like and bistable responses--are determined by the relative concentrations of enzyme and target as well as the enzyme-target affinities. In addition to collective effects of several phosphorylation sites, our analysis predicts that distinct phosphorylation patterns can be finely tuned by a single kinase. Taken together, this study suggests a versatile regulation of protein activation by the combined effect of structural, kinetic and thermodynamic aspects of multisite phosphorylation.

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Year:  2007        PMID: 17257173     DOI: 10.1111/j.1742-4658.2007.05653.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  36 in total

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

Authors:  Luca Cerone; Javier Muñoz-Garcia; Zoltán Neufeld
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

2.  A combination of multisite phosphorylation and substrate sequestration produces switchlike responses.

Authors:  Xinfeng Liu; Lee Bardwell; Qing Nie
Journal:  Biophys J       Date:  2010-04-21       Impact factor: 4.033

Review 3.  Modeling the dynamic behavior of biochemical regulatory networks.

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Journal:  J Theor Biol       Date:  2018-11-28       Impact factor: 2.691

Review 4.  Regulatory mechanisms in postsynaptic phosphorylation networks.

Authors:  Marcelo P Coba
Journal:  Curr Opin Struct Biol       Date:  2019-02-23       Impact factor: 6.809

Review 5.  Processive phosphorylation: mechanism and biological importance.

Authors:  Parag Patwardhan; W Todd Miller
Journal:  Cell Signal       Date:  2007-06-22       Impact factor: 4.315

6.  Distributivity and processivity in multisite phosphorylation can be distinguished through steady-state invariants.

Authors:  Jeremy Gunawardena
Journal:  Biophys J       Date:  2007-08-17       Impact factor: 4.033

7.  Biphasic responses in multi-site phosphorylation systems.

Authors:  Thapanar Suwanmajo; J Krishnan
Journal:  J R Soc Interface       Date:  2013-10-09       Impact factor: 4.118

8.  Decoding of calcium oscillations by phosphorylation cycles: analytic results.

Authors:  Carlos Salazar; Antonio Zaccaria Politi; Thomas Höfer
Journal:  Biophys J       Date:  2007-10-05       Impact factor: 4.033

9.  Mixed mechanisms of multi-site phosphorylation.

Authors:  Thapanar Suwanmajo; J Krishnan
Journal:  J R Soc Interface       Date:  2015-06-06       Impact factor: 4.118

10.  Mathematical modelling of DNA replication reveals a trade-off between coherence of origin activation and robustness against rereplication.

Authors:  Anneke Brümmer; Carlos Salazar; Vittoria Zinzalla; Lilia Alberghina; Thomas Höfer
Journal:  PLoS Comput Biol       Date:  2010-05-13       Impact factor: 4.475

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