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Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells
Electrophysiological variability in cardiomyocytes derived from pluripotent stem cells continues to be an impediment for their scientific and translational applications. We studied the variability of action potentials (APs) recorded from clusters of human embryonic stem cell-derived cardiomyocytes (...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700458/ https://www.ncbi.nlm.nih.gov/pubmed/26729331 http://dx.doi.org/10.1038/srep18544 |
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author | Zhu, Renjun Millrod, Michal A. Zambidis, Elias T. Tung, Leslie |
author_facet | Zhu, Renjun Millrod, Michal A. Zambidis, Elias T. Tung, Leslie |
author_sort | Zhu, Renjun |
collection | PubMed |
description | Electrophysiological variability in cardiomyocytes derived from pluripotent stem cells continues to be an impediment for their scientific and translational applications. We studied the variability of action potentials (APs) recorded from clusters of human embryonic stem cell-derived cardiomyocytes (hESC-CMs) using high-resolution optical mapping. Over 23,000 APs were analyzed through four parameters: APD(30), APD(80), triangulation and fractional repolarization. Although measures were taken to reduce variability due to cell culture conditions and rate-dependency of APs, we still observed significant variability in APs among and within the clusters. However, similar APs were found in spatial locations with close proximity, and in some clusters formed distinct regions having different AP characteristics that were reflected as separate peaks in the AP parameter distributions, suggesting multiple electrophysiological phenotypes. Using a recently developed automated method to group cells based on their entire AP shape, we identified distinct regions of different phenotypes within single clusters and common phenotypes across different clusters when separating APs into 2 or 3 subpopulations. The systematic analysis of the heterogeneity and potential phenotypes of large populations of hESC-CMs can be used to evaluate strategies to improve the quality of pluripotent stem cell-derived cardiomyocytes for use in diagnostic and therapeutic applications and in drug screening. |
format | Online Article Text |
id | pubmed-4700458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47004582016-01-13 Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells Zhu, Renjun Millrod, Michal A. Zambidis, Elias T. Tung, Leslie Sci Rep Article Electrophysiological variability in cardiomyocytes derived from pluripotent stem cells continues to be an impediment for their scientific and translational applications. We studied the variability of action potentials (APs) recorded from clusters of human embryonic stem cell-derived cardiomyocytes (hESC-CMs) using high-resolution optical mapping. Over 23,000 APs were analyzed through four parameters: APD(30), APD(80), triangulation and fractional repolarization. Although measures were taken to reduce variability due to cell culture conditions and rate-dependency of APs, we still observed significant variability in APs among and within the clusters. However, similar APs were found in spatial locations with close proximity, and in some clusters formed distinct regions having different AP characteristics that were reflected as separate peaks in the AP parameter distributions, suggesting multiple electrophysiological phenotypes. Using a recently developed automated method to group cells based on their entire AP shape, we identified distinct regions of different phenotypes within single clusters and common phenotypes across different clusters when separating APs into 2 or 3 subpopulations. The systematic analysis of the heterogeneity and potential phenotypes of large populations of hESC-CMs can be used to evaluate strategies to improve the quality of pluripotent stem cell-derived cardiomyocytes for use in diagnostic and therapeutic applications and in drug screening. Nature Publishing Group 2016-01-05 /pmc/articles/PMC4700458/ /pubmed/26729331 http://dx.doi.org/10.1038/srep18544 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhu, Renjun Millrod, Michal A. Zambidis, Elias T. Tung, Leslie Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells |
title | Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells |
title_full | Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells |
title_fullStr | Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells |
title_full_unstemmed | Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells |
title_short | Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells |
title_sort | variability of action potentials within and among cardiac cell clusters derived from human embryonic stem cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700458/ https://www.ncbi.nlm.nih.gov/pubmed/26729331 http://dx.doi.org/10.1038/srep18544 |
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