@inproceedings{c879eb016aaa435e847106322776762e,
title = "Numerical Simulations Indicate IK1Dynamic Clamp Can Unveil the Phenotype of Cardiomyocytes Derived from Induced Pluripotent Stem Cells",
abstract = "Cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) are a virtually endless source of human cardiomyocytes, considerably used in vitro models to test drug toxicity. These cells express the major cardiac markers and ion channels, but they also result in a mix of incompletely mature cardiac cells that can be classified as atrial-like and ventricular-like cardiomyocytes. One of the most popular manipulations used to push towards more adult cardiac phenotypes is the dynamic clamp technique, based on virtual inward - rectifier potassium current (IK1) injection. In this exploratory in silico study, six different IK1 expressions have been virtually analyzed to classify hiPSC-CM phenotypes. Starting from the resulting action potential morphologies, we defined a mathematical criterion to estimate the efficacy of the injected IK1 current in terms of the threshold percentage of the current density required to obtain an hiPSC-CM physiological response. It was found that atrial IK1 formulations are more reliable than ventricular ones, with the Koivum{\"a}ki IK1 formulation being the most appropriate since it requires the minimal current density to be injected.",
author = "Sofia Botti and Chiara Bartolucci and Claudia Altomare and Lucio Barile and Rolf Krause and Pavarino, {Luca F.} and Stefano Severi",
note = "Publisher Copyright: {\textcopyright} 2022 Creative Commons.; 2022 Computing in Cardiology, CinC 2022 ; Conference date: 04-09-2022 Through 07-09-2022",
year = "2022",
doi = "10.22489/CinC.2022.10",
language = "English (US)",
series = "Computing in Cardiology",
publisher = "IEEE Computer Society",
booktitle = "2022 Computing in Cardiology, CinC 2022",
address = "United States",
}