Quantitative decomposition of dynamics of mathematical cell models: Method and application to ventricular myocyte models

Takao Shimayoshi, Chae Young Cha, Akira Amano

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Mathematical cell models are effective tools to understand cellular physiological functions precisely. For detailed analysis of model dynamics in order to investigate how much each component affects cellular behaviour, mathematical approaches are essential. This article presents a numerical analysis technique, which is applicable to any complicated cell model formulated as a system of ordinary differential equations, to quantitatively evaluate contributions of respective model components to the model dynamics in the intact situation. The present technique employs a novel mathematical index for decomposed dynamics with respect to each differential variable, along with a concept named instantaneous equilibrium point, which represents the trend of a model variable at some instant. This article also illustrates applications of the method to comprehensive myocardial cell models for analysing insights into the mechanisms of action potential generation and calcium transient. The analysis results exhibit quantitative contributions of individual channel gating mechanisms and ion exchanger activities to membrane repolarization and of calcium fluxes and buffers to raising and descending of the cytosolic calcium level. These analyses quantitatively explicate principle of the model, which leads to a better understanding of cellular dynamics.

Original languageEnglish
Article numbere0124970
JournalPloS one
Volume10
Issue number6
DOIs
Publication statusPublished - Jun 19 2015

Fingerprint

myocytes
Muscle Cells
Theoretical Models
Calcium
Decomposition
degradation
Ion Channel Gating
cells
calcium
dynamic models
Action Potentials
Dynamic models
Buffers
methodology
Membranes
Ion exchangers
action potentials
application methods
Ordinary differential equations
Numerical analysis

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Quantitative decomposition of dynamics of mathematical cell models : Method and application to ventricular myocyte models. / Shimayoshi, Takao; Cha, Chae Young; Amano, Akira.

In: PloS one, Vol. 10, No. 6, e0124970, 19.06.2015.

Research output: Contribution to journalArticle

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