Literature DB >> 17129600

Quantitative techniques for steady-state calculation and dynamic integrated modelling of membrane potential and intracellular ion concentrations.

James A Fraser1, Christopher L-H Huang.   

Abstract

The membrane potential (E(m)) is a fundamental cellular parameter that is primarily determined by the transmembrane permeabilities and concentration gradients of various ions. However, ion gradients are themselves profoundly influenced by E(m) due to its influence upon transmembrane ion fluxes and cell volume (V(c)). These interrelationships between E(m), V(c) and intracellular ion concentrations make computational modelling useful or necessary in order to guide experimentation and to achieve an integrated understanding of experimental data, particularly in complex, dynamic, multi-compartment systems such as skeletal and cardiac myocytes. A variety of quantitative techniques exist that may assist such understanding, from classical approaches such as the Goldman-Hodgkin-Katz equation and the Gibbs-Donnan equilibrium, to more recent "current-summing" models as exemplified by cardiac myocyte models including those of DiFrancesco & Noble, Luo & Rudy and Puglisi & Bers, or the "charge-difference" modelling technique of Fraser & Huang so far applied to skeletal muscle. In general, the classical approaches provide useful and important insights into the relationships between E(m), V(c) and intracellular ion concentrations at steady state, providing their core assumptions are fully understood, while the more recent techniques permit the modelling of changing values of E(m), V(c) and intracellular ion concentrations. The present work therefore reviews the various approaches that may be used to calculate E(m), V(c) and intracellular ion concentrations with the aim of establishing the requirements for an integrated model that can both simulate dynamic systems and recapitulate the key findings of classical techniques regarding the cellular steady state. At a time when the number of cellular models is increasing at an unprecedented rate, it is hoped that this article will provide a useful and critical analysis of the mathematical techniques fundamental to each of them.

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Year:  2006        PMID: 17129600     DOI: 10.1016/j.pbiomolbio.2006.10.001

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


  21 in total

1.  Ion fluxes, transmembrane potential, and osmotic stabilization: a new dynamic electrophysiological model for eukaryotic cells.

Authors:  Clair Poignard; Aude Silve; Frederic Campion; Lluis M Mir; Olivier Saut; Laurent Schwartz
Journal:  Eur Biophys J       Date:  2010-11-16       Impact factor: 1.733

2.  Effect of anatomical origin and cell passage number on the stemness and osteogenic differentiation potential of canine adipose-derived stem cells.

Authors:  J F Requicha; C A Viegas; C M Albuquerque; J M Azevedo; R L Reis; Manuela E Gomes
Journal:  Stem Cell Rev Rep       Date:  2012-12       Impact factor: 5.739

3.  Uniqueness and stability of action potential models during rest, pacing, and conduction using problem-solving environment.

Authors:  Leonid Livshitz; Yoram Rudy
Journal:  Biophys J       Date:  2009-09-02       Impact factor: 4.033

4.  Bond graph modelling of the cardiac action potential: implications for drift and non-unique steady states.

Authors:  Michael Pan; Peter J Gawthrop; Kenneth Tran; Joseph Cursons; Edmund J Crampin
Journal:  Proc Math Phys Eng Sci       Date:  2018-06-27       Impact factor: 2.704

5.  Dielectrophoresis study of temporal change in internal conductivity of single CHO cells after electroporation by pulsed electric fields.

Authors:  E Salimi; K Braasch; M Butler; D J Thomson; G E Bridges
Journal:  Biomicrofluidics       Date:  2017-02-13       Impact factor: 2.800

6.  Extracellular charge adsorption influences intracellular electrochemical homeostasis in amphibian skeletal muscle.

Authors:  Arpan R Mehta; Christopher L-H Huang; Jeremy N Skepper; James A Fraser
Journal:  Biophys J       Date:  2008-02-29       Impact factor: 4.033

Review 7.  Murine Electrophysiological Models of Cardiac Arrhythmogenesis.

Authors:  Christopher L-H Huang
Journal:  Physiol Rev       Date:  2017-01       Impact factor: 37.312

8.  Functional consequences of NKCC2 splice isoforms: insights from a Xenopus oocyte model.

Authors:  Liangjian Lu; James A Fraser
Journal:  Am J Physiol Renal Physiol       Date:  2014-01-29

9.  Relationships between resting conductances, excitability, and t-system ionic homeostasis in skeletal muscle.

Authors:  James A Fraser; Christopher L-H Huang; Thomas H Pedersen
Journal:  J Gen Physiol       Date:  2011-06-13       Impact factor: 4.086

10.  The contribution of refractoriness to arrhythmic substrate in hypokalemic Langendorff-perfused murine hearts.

Authors:  Ian N Sabir; James A Fraser; Matthew J Killeen; Andrew A Grace; Christopher L-H Huang
Journal:  Pflugers Arch       Date:  2007-02-13       Impact factor: 3.657

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