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Am J Physiol Heart Circ Physiol 287: H1378-H1403, 2004. First published May 13, 2004; doi:10.1152/ajpheart.00185.2003
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Computer model of action potential of mouse ventricular myocytes

Vladimir E. Bondarenko,1 Gyula P. Szigeti,1 Glenna C. L. Bett,1 Song-Jung Kim,2 and Randall L. Rasmusson1

1Department of Physiology and Biophysics, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214-3078; and 2Cell Biology and Molecular Medicine Cardiovascular Research Institute, University of Medicine and Dentistry of New Jersey-New Jersey Medical School, Newark, New Jersey 07103

Submitted 28 February 2003 ; accepted in final form 11 May 2004

We have developed a mathematical model of the mouse ventricular myocyte action potential (AP) from voltage-clamp data of the underlying currents and Ca2+ transients. Wherever possible, we used Markov models to represent the molecular structure and function of ion channels. The model includes detailed intracellular Ca2+ dynamics, with simulations of localized events such as sarcoplasmic Ca2+ release into a small intracellular volume bounded by the sarcolemma and sarcoplasmic reticulum. Transporter-mediated Ca2+ fluxes from the bulk cytosol are closely matched to the experimentally reported values and predict stimulation rate-dependent changes in Ca2+ transients. Our model reproduces the properties of cardiac myocytes from two different regions of the heart: the apex and the septum. The septum has a relatively prolonged AP, which reflects a relatively small contribution from the rapid transient outward K+ current in the septum. The attribution of putative molecular bases for several of the component currents enables our mouse model to be used to simulate the behavior of genetically modified transgenic mice.

cardiac myocytes; computer modeling



Address for reprint requests and other correspondence: R. L. Rasmusson, Dept. of Physiology and Biophysics, School of Medicine and Biomedical Sciences, Univ. at Buffalo, State Univ. of New York, 124 Sherman Hall, 3435 Main St., Buffalo, NY 14214-3078 (E-mail: rr32{at}buffalo.edu).




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