Prediction of potentially unstable electrical activity during embryonic development of rodent ventricular myocytes

Chikako Okubo, Hitomi Sano, Yasuhiro Naito, Masaru Tomita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to evaluate developmental changes in embryonic ventricular cells at early embryonic (EE) and late embryonic (LE) stage, we aimed to predict potentially unstable action potentials (APs) that could be lethal to developing ventricular cells. Two models of the Kyoto and the Luo-Rudy model were used for simulation of 512 representative combinations by switching the relative activities of 9 ionic components whose activities vary between the EE and LE stages. Out of these 512 combinations in Kyoto model, 144 combinations were predicted potentially unstable resulting from combinations of funny current (If), inward rectifier current (IK1), sustained inward current (Ist), L-type Ca2+ current (ICaL), and Na+ current (INa). Other 208 and 160 combinations were predicted quiescent membrane potentials and regular spontaneous APs. Based on these results, we suggest that sequential switches of the relative activities of INa, If, and IK1 enable cells to avoid unstable patterns.

Original languageEnglish
Title of host publicationComputing in Cardiology 2012, CinC 2012
Pages301-304
Number of pages4
Publication statusPublished - 2012 Dec 1
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: 2012 Sep 92012 Sep 12

Publication series

NameComputing in Cardiology
Volume39
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Other

Other39th Computing in Cardiology Conference, CinC 2012
CountryPoland
CityKrakow
Period12/9/912/9/12

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ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

Cite this

Okubo, C., Sano, H., Naito, Y., & Tomita, M. (2012). Prediction of potentially unstable electrical activity during embryonic development of rodent ventricular myocytes. In Computing in Cardiology 2012, CinC 2012 (pp. 301-304). [6420390] (Computing in Cardiology; Vol. 39).