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An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes

The ability to produce unlimited numbers of human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) harboring disease and patient-specific gene variants creates a new paradigm for modeling congenital heart diseases (CHDs) and predicting proarrhythmic liabilities of drug candidates. Ho...

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Autores principales: McKeithan, Wesley L., Savchenko, Alex, Yu, Michael S., Cerignoli, Fabio, Bruyneel, Arne A. N., Price, Jeffery H., Colas, Alexandre R., Miller, Evan W., Cashman, John R., Mercola, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641590/
https://www.ncbi.nlm.nih.gov/pubmed/29075196
http://dx.doi.org/10.3389/fphys.2017.00766
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author McKeithan, Wesley L.
Savchenko, Alex
Yu, Michael S.
Cerignoli, Fabio
Bruyneel, Arne A. N.
Price, Jeffery H.
Colas, Alexandre R.
Miller, Evan W.
Cashman, John R.
Mercola, Mark
author_facet McKeithan, Wesley L.
Savchenko, Alex
Yu, Michael S.
Cerignoli, Fabio
Bruyneel, Arne A. N.
Price, Jeffery H.
Colas, Alexandre R.
Miller, Evan W.
Cashman, John R.
Mercola, Mark
author_sort McKeithan, Wesley L.
collection PubMed
description The ability to produce unlimited numbers of human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) harboring disease and patient-specific gene variants creates a new paradigm for modeling congenital heart diseases (CHDs) and predicting proarrhythmic liabilities of drug candidates. However, a major roadblock to implementing hiPSC-CM technology in drug discovery is that conventional methods for monitoring action potential (AP) kinetics and arrhythmia phenotypes in vitro have been too costly or technically challenging to execute in high throughput. Herein, we describe the first large-scale, fully automated and statistically robust analysis of AP kinetics and drug-induced proarrhythmia in hiPSC-CMs. The platform combines the optical recording of a small molecule fluorescent voltage sensing probe (VoltageFluor2.1.Cl), an automated high throughput microscope and automated image analysis to rapidly generate physiological measurements of cardiomyocytes (CMs). The technique can be readily adapted on any high content imager to study hiPSC-CM physiology and predict the proarrhythmic effects of drug candidates.
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spelling pubmed-56415902017-10-26 An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes McKeithan, Wesley L. Savchenko, Alex Yu, Michael S. Cerignoli, Fabio Bruyneel, Arne A. N. Price, Jeffery H. Colas, Alexandre R. Miller, Evan W. Cashman, John R. Mercola, Mark Front Physiol Physiology The ability to produce unlimited numbers of human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) harboring disease and patient-specific gene variants creates a new paradigm for modeling congenital heart diseases (CHDs) and predicting proarrhythmic liabilities of drug candidates. However, a major roadblock to implementing hiPSC-CM technology in drug discovery is that conventional methods for monitoring action potential (AP) kinetics and arrhythmia phenotypes in vitro have been too costly or technically challenging to execute in high throughput. Herein, we describe the first large-scale, fully automated and statistically robust analysis of AP kinetics and drug-induced proarrhythmia in hiPSC-CMs. The platform combines the optical recording of a small molecule fluorescent voltage sensing probe (VoltageFluor2.1.Cl), an automated high throughput microscope and automated image analysis to rapidly generate physiological measurements of cardiomyocytes (CMs). The technique can be readily adapted on any high content imager to study hiPSC-CM physiology and predict the proarrhythmic effects of drug candidates. Frontiers Media S.A. 2017-10-11 /pmc/articles/PMC5641590/ /pubmed/29075196 http://dx.doi.org/10.3389/fphys.2017.00766 Text en Copyright © 2017 McKeithan, Savchenko, Yu, Cerignoli, Bruyneel, Price, Colas, Miller, Cashman and Mercola. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
McKeithan, Wesley L.
Savchenko, Alex
Yu, Michael S.
Cerignoli, Fabio
Bruyneel, Arne A. N.
Price, Jeffery H.
Colas, Alexandre R.
Miller, Evan W.
Cashman, John R.
Mercola, Mark
An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes
title An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes
title_full An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes
title_fullStr An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes
title_full_unstemmed An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes
title_short An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with hiPSC-Derived Cardiomyocytes
title_sort automated platform for assessment of congenital and drug-induced arrhythmia with hipsc-derived cardiomyocytes
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641590/
https://www.ncbi.nlm.nih.gov/pubmed/29075196
http://dx.doi.org/10.3389/fphys.2017.00766
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