Key result
A computational whole-cell model of iPSC-CMs incorporating experimental variability successfully predicted robust inter-subject variability and linked molecular mechanisms to cellular-level phenotypes.
Why the study?
Strategies are needed to predict patient-to-patient vulnerability to cardiac arrhythmia, addressing cell-to-cell variability observed in induced pluripotent stem cell-derived cardiomyocytes.
Population
Induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) from multiple experimental datasets
Comparison
Immature vs mature subpopulations of computational models
Design
Computational modelling and simulation study
Authors
Loading...
May aid patient-specific iPSC-CM electrophysiology studies; leaves open clinical translation pending validation.
A novel computational framework utilizing experimental variability in iPSC-CMs successfully links molecular mechanisms to cellular phenotypes, providing a tool for future studies on arrhythmia triggers.
Kernik et al. (2019) studied Cardiac arrhythmia. Computational whole-cell model of iPSC-CMs was evaluated on Subcellular phenotypic mechanisms and inter-subject variability. A computational whole-cell model of iPSC-CMs incorporating experimental variability successfully predicted robust inter-subject variability and linked molecular mechanisms to cellular-level phenotypes.