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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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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. |
format | Online Article Text |
id | pubmed-5641590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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