Literature DB >> 10650906

Switching characteristics of a model for biochemical-reaction networks describing autophosphorylation versus dephosphorylation of Ca2+/calmodulin-dependent protein kinase II.

H Okamoto1, K Ichikawa.   

Abstract

Ca2+/calmodulin-dependent protein kinase II (CaMKII) has been suggested to participate in various cellular phenomena triggered by Ca2+ signalling. In the present study, we addressed the functional role of CaMKII in molecular-signal transduction in cells by mathematical modelling of putative biochemical-reaction networks thought to represent an essential part of molecular events responsible for CaMKII-related cellular phenomena. These networks include Ca2+/calmodulin-dependent threonine-286/287 (Thr286/287) autophosphorylation of CaMKII versus dephosphorylation of the enzyme. Computer simulation of the model was performed to examine the relation between the Ca2+-signalling pattern as an input and the resulting degree of Thr286/287 autophosphorylation (m) as an output. Under the simplified condition that the Ca2+ concentration during Ca2+ signalling was set to remain constant with time, the biochemical-reaction networks were shown to function as a switch. There is a threshold for gamma, a parameter representing the probability that the Thr286/287-dephosphorylated CaMKII subunit binds with the Ca2+/calmodulin complex; if gamma is above this threshold, m increases with time to a large degree (switch-on); otherwise, it remains near zero (switch-off). Mathematically, this sharp onset of m at the threshold can be accounted for by a change in the structure of the dynamic system describing the model, from bistability to monostability; this is analogous to the first-order phase transition in statistical physics. For the oscillatory time course of [Ca2+], switching characteristics were also shown with respect to the frequency and the maximum amplitude of the oscillation. These results suggest that graded information mediated by Ca2+ signalling is digitized into all-or-non information mediated by Thr286/287 autophosphorylation of CaMKII.

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Year:  2000        PMID: 10650906     DOI: 10.1007/PL00007960

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  17 in total

1.  Bistability in the Ca(2+)/calmodulin-dependent protein kinase-phosphatase system.

Authors:  A M Zhabotinsky
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

Review 2.  Structure-function of the multifunctional Ca2+/calmodulin-dependent protein kinase II.

Authors:  Andy Hudmon; Howard Schulman
Journal:  Biochem J       Date:  2002-06-15       Impact factor: 3.857

3.  Spike frequency decoding and autonomous activation of Ca2+-calmodulin-dependent protein kinase II in dorsal root ganglion neurons.

Authors:  F Eshete; R D Fields
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

4.  Experimental and computational aspects of signaling mechanisms of spike-timing-dependent plasticity.

Authors:  Hidetoshi Urakubo; Minoru Honda; Keiko Tanaka; Shinya Kuroda
Journal:  HFSP J       Date:  2009-06-03

5.  A modeling environment with three-dimensional morphology, A-Cell-3D, and Ca2+ dynamics in a spine.

Authors:  Kazuhisa Ichikawa
Journal:  Neuroinformatics       Date:  2005

6.  In vitro reconstitution of a CaMKII memory switch by an NMDA receptor-derived peptide.

Authors:  Hidetoshi Urakubo; Miharu Sato; Shin Ishii; Shinya Kuroda
Journal:  Biophys J       Date:  2014-03-18       Impact factor: 4.033

7.  The effect of noise on CaMKII activation in a dendritic spine during LTP induction.

Authors:  Shangyou Zeng; William R Holmes
Journal:  J Neurophysiol       Date:  2010-01-27       Impact factor: 2.714

8.  Transient versus asymptotic dynamics of CaM kinase II: possible roles of phosphatase.

Authors:  Y Kubota; J M Bower
Journal:  J Comput Neurosci       Date:  2001 Nov-Dec       Impact factor: 1.621

9.  Detailed state model of CaMKII activation and autophosphorylation.

Authors:  Vladan Lucić; Gabriela J Greif; Mary B Kennedy
Journal:  Eur Biophys J       Date:  2008-09-04       Impact factor: 1.733

10.  State based model of long-term potentiation and synaptic tagging and capture.

Authors:  Adam B Barrett; Guy O Billings; Richard G M Morris; Mark C W van Rossum
Journal:  PLoS Comput Biol       Date:  2009-01-16       Impact factor: 4.475

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