A computational model of induced pluripotent stem‐cell derived cardiomyocytes incorporating experimental variability from multiple data sources

• Published in: The Journal of physiology Vol. 597; no. 17; pp. 4533 - 4564
• Main Authors: Kernik, Divya C., Morotti, Stefano, Wu, HaoDi, Garg, Priyanka, Duff, Henry J., Kurokawa, Junko, Jalife, José, Wu, Joseph C., Grandi, Eleonora, Clancy, Colleen E.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.09.2019; John Wiley and Sons Inc
• Subjects: Action Potentials - physiology; Arrhythmia; Arrhythmias, Cardiac - physiopathology; Cardiac arrhythmia; Cardiac Conduction System Disease - physiopathology; Cardiomyocytes; Channel gating; Computational Physiology; Computer applications; computer modelling; Computer Simulation; Coronary artery disease; Genotypes; Heart diseases; Humans; Induced Pluripotent Stem Cells - physiology; Information Storage and Retrieval; iPSC‐CMs; Molecular modelling; Myocytes, Cardiac - physiology; Phenotype; Phenotypes; Pluripotency; Research Paper; Stem cells; variability; computer modelling; variability; iPSC-CMs
• ISSN: 0022-3751; 1469-7793; 1469-7793
• DOI: 10.1113/JP277724

Key points Induced pluripotent stem cell‐derived cardiomyocytes (iPSC‐CMs) capture patient‐specific genotype–phenotype relationships, as well as cell‐to‐cell variability of cardiac electrical activity Computational modelling and simulation provide a high throughput approach to reconcile multiple dat...