1. Computational biology as a tool for reverse engineering genotype-phenotype relations.
- Author
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Cha, C., Himeno, Y., Shimayoshi, T., Nakamura, Y., Santos, E., Amano, A., and Noma, A.
- Subjects
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COMPUTATIONAL biology , *ION channels , *ACTION potentials - Abstract
Electrically excitable cells generate time-dependent change in transmembrane potential (action potential), which arises from complex interactions among ion channels and transporters expressed in the membrane. To understand how the excitable cell regulates its function, it is important to elucidate the role of individual channels in generating particular shape of action potentials. Conventionally, inhibition or knock-out methods have been used in experimental or even in mathematical modelling studies. However, inhibition of one kind of channel always induces unintended modification of the rest of channels through the complex interaction, and then the response cannot be considered as the effect of the channel of interest. We developed a new analytical method- lead potential analysis, which can be applied to any electrophysiological cell models and calculate contribution of each cellular component to membrane potential change in a quantitative way, not interfering with normal cellular condition. In this presentation, I demonstrate the recent studies to apply lead potential analysis, in which the electrical mechanisms were successfully elucidated in cardiac sinoatrial node cell and pancreatic beta cell. [ABSTRACT FROM AUTHOR]
- Published
- 2013