Literature DB >> 17029867

Complex intracellular calcium oscillations. A theoretical exploration of possible mechanisms.

J M Borghans1, G Dupont, A Goldbeter.   

Abstract

Intracellular Ca(2+) oscillations are commonly observed in a large number of cell types in response to stimulation by an extracellular agonist. In most cell types the mechanism of regular spiking is well understood and models based on Ca(2+)-induced Ca(2+) release (CICR) can account for many experimental observations. However, cells do not always exhibit simple Ca(2+) oscillations. In response to given agonists, some cells show more complex behaviour in the form of bursting, i.e. trains of Ca(2+) spikes separated by silent phases. Here we develop several theoretical models, based on physiologically plausible assumptions, that could account for complex intracellular Ca(2+) oscillations. The models are all based on one- or two-pool models based on CICR. We extend these models by (i) considering the inhibition of the Ca(2+)-release channel on a unique intracellular store at high cytosolic Ca(2+) concentrations, (ii) taking into account the Ca(2+)-activated degradation of inositol 1,4,5-trisphosphate (IP(3)), or (iii) considering explicity the evolution of the Ca(2+) concentration in two different pools, one sensitive and the other one insensitive to IP(3). Besides simple periodic oscillations, these three models can all account for more complex oscillatory behaviour in the form of bursting. Moreover, the model that takes the kinetics of IP(3) into account shows chaotic behaviour.

Entities:  

Year:  1997        PMID: 17029867     DOI: 10.1016/s0301-4622(97)00010-0

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  18 in total

1.  Switching from simple to complex oscillations in calcium signaling.

Authors:  U Kummer; L F Olsen; C J Dixon; A K Green; E Bornberg-Bauer; G Baier
Journal:  Biophys J       Date:  2000-09       Impact factor: 4.033

2.  Release currents of IP(3) receptor channel clusters and concentration profiles.

Authors:  R Thul; M Falcke
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

3.  Equality of average and steady-state levels in some nonlinear models of biological oscillations.

Authors:  Beate Knoke; Marko Marhl; Matjaz Perc; Stefan Schuster
Journal:  Theory Biosci       Date:  2008-01-15       Impact factor: 1.919

4.  Cross-talk between signaling pathways can generate robust oscillations in calcium and cAMP.

Authors:  Fernando Siso-Nadal; Jeffrey J Fox; Stéphane A Laporte; Terence E Hébert; Peter S Swain
Journal:  PLoS One       Date:  2009-10-21       Impact factor: 3.240

5.  Jensen's inequality as a tool for explaining the effect of oscillations on the average cytosolic calcium concentration.

Authors:  Beate Knoke; Christian Bodenstein; Marko Marhl; Matjaz Perc; Stefan Schuster
Journal:  Theory Biosci       Date:  2010-02-16       Impact factor: 1.919

6.  Modelling the transition from simple to complex Ca²⁺ oscillations in pancreatic acinar cells.

Authors:  Neeraj Manhas; James Sneyd; K R Pardasani
Journal:  J Biosci       Date:  2014-06       Impact factor: 1.826

7.  A graphical method for reducing and relating models in systems biology.

Authors:  Steven Gay; Sylvain Soliman; François Fages
Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

8.  Intercellular synchronization of diffusively coupled Ca(2+) oscillators.

Authors:  Md Jahoor Alam; Latika Bhayana; Gurumayum Reenaroy Devi; Heisnam Dinachandra Singh; R K Brojen Singh; B Indrajit Sharma
Journal:  J Chem Biol       Date:  2011-09-09

9.  Nonlinear time series analysis of nodulation factor induced calcium oscillations: evidence for deterministic chaos?

Authors:  Saul Hazledine; Jongho Sun; Derin Wysham; J Allan Downie; Giles E D Oldroyd; Richard J Morris
Journal:  PLoS One       Date:  2009-08-13       Impact factor: 3.240

10.  Using chemical organization theory for model checking.

Authors:  Christoph Kaleta; Stephan Richter; Peter Dittrich
Journal:  Bioinformatics       Date:  2009-05-25       Impact factor: 6.937

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