2006
DOI: 10.1017/s0033583506004227
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Computational biology in the study of cardiac ion channels and cell electrophysiology

Abstract: The cardiac cell is a complex biological system where various processes interact to generate electrical excitation (the action potential, AP) and contraction. During AP generation, membrane ion channels interact nonlinearly with dynamically changing ionic concentrations and varying transmembrane voltage, and are subject to regulatory processes. In recent years, a large body of knowledge has accumulated on the molecular structure of cardiac ion channels, their function, and their modification by genetic mutatio… Show more

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Cited by 239 publications
(183 citation statements)
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“…The single-cell response to such excitation patterns depends on the complex interaction between ionic currents, intracellular ion concentrations, and membrane voltage. Computational cell models provide critical tools for exploring these interactions, allowing the development and testing of hypotheses about underlying ionic mechanisms based on careful integration of available experimental data (37). The dog is a common animal model for studying cell electrophysiology in a range of disease states.…”
mentioning
confidence: 99%
“…The single-cell response to such excitation patterns depends on the complex interaction between ionic currents, intracellular ion concentrations, and membrane voltage. Computational cell models provide critical tools for exploring these interactions, allowing the development and testing of hypotheses about underlying ionic mechanisms based on careful integration of available experimental data (37). The dog is a common animal model for studying cell electrophysiology in a range of disease states.…”
mentioning
confidence: 99%
“…Future work has the potential to reveal the molecular mechanisms of these interactions, providing key insight into the regulation of a key physiological and disease-linked I Ca,L transitions. From a computational perspective, I Ca,L kinetics are central to the behavior of all ventricular AP models Faber et al, 2007;Rudy and Silva, 2006), and a VCF-informed model of I Ca,L is likely to be much more predictive than the phenomenological models that are currently used. Moreover, recovery of I Ca,L from Ca 2þ -and voltage-dependent inactivation at the end of the AP is 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ...…”
Section: Cardiac Sodium Channel Na V 15mentioning
confidence: 99%
“…The left hand side of Equation 1 gives current flow due to the capacitance of the cell membrane, whilst the right hand side gives current flow due to gradients in trans- [12], and this type of detailed and computationally intensive model has been used to investigate EAD and DAD mechanisms by inducing intracellular Ca 2+ accumulation and overload [13], or by partial block of ion channels involved in repolarisation [14].…”
Section: Cell and Tissue Modelmentioning
confidence: 99%