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J Physiol Volume 563, Number 1, 73-81, February 15, 2005 DOI: 10.1113/jphysiol.2004.080457
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Using models of the myocyte for functional interpretation of cardiac proteomic data

Raimond L Winslow1, Sonia Cortassa1 and Joseph L Greenstein1

1 Center for Cardiovascular Bioinformatics and Modelling, The Johns Hopkins University School of Medicine and Whiting School of Engineering, Baltimore, MD, USA

There has been significant progress towards the development of highly integrative computational models of the cardiac myocyte over the past decade. Models now incorporate descriptions of voltage-gated ionic currents and membrane transporters, mechanisms of calcium-induced calcium release and intracellular calcium cycling, mitochondrial ATP production and its coupling to energy-requiring membrane transport processes and mechanisms of force generation. There is an extensive literature documenting both the reconstructive and predictive abilities of these models and there is no question that an interplay between quantitative modelling and experimental investigation has become a central component of modern cardiovascular research. As data regarding the cardiovascular proteome in both health and disease emerge, integrative models of the myocyte are becoming useful tools for interpreting the functional significance of changes in protein expression and post-translational modifications (PTMs). Data of particular importance include information on: (a) changes of expressed protein level, (b) changes of protein PTMs, (c) protein localization, and (d) protein–protein interactions, as it is often possible to incorporate and interpret the functional significance of such findings using computational models. We provide two examples of how models may be used in this fashion. In the first example, we show how information on altered expression of the sarcoplasmic reticulum Ca2+-ATPase, when interpreted through the use of a computational model, has provided key insights into fundamental mechanisms regulating cardiac action potential duration. In the second example, we show how information on the effects of phosphorylation of L-type Ca2+ channels, when interpreted through the use of a model, provides insights on how this post-translational modification alters the properties of excitation–contraction coupling and risk for arrhythmia.

(Received 1 December 2004; accepted after revision 15 December 2004; first published online 20 December 2004)
Corresponding author R. L. Winslow: Rm. 201B Clark Hall, 3400 N. Charles St, Baltimore, MD 21218, USA. Email: rwinslow{at}bme.jhu.edu




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