Cargando…

Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues

Recent advances in human induced pluripotent stem cell (hiPSC)-derived cardiac microtissues provide a unique opportunity for cardiotoxic assessment of pharmaceutical and environmental compounds. Here, we developed a series of automated data processing algorithms to assess changes in action potential...

Descripción completa

Detalles Bibliográficos
Autores principales: Soepriatna, Arvin H., Navarrete-Welton, Allison, Kim, Tae Yun, Daley, Mark C., Bronk, Peter, Kofron, Celinda M., Mende, Ulrike, Coulombe, Kareen L. K., Choi, Bum-Rak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901774/
https://www.ncbi.nlm.nih.gov/pubmed/36745602
http://dx.doi.org/10.1371/journal.pone.0280406
_version_ 1784883092978139136
author Soepriatna, Arvin H.
Navarrete-Welton, Allison
Kim, Tae Yun
Daley, Mark C.
Bronk, Peter
Kofron, Celinda M.
Mende, Ulrike
Coulombe, Kareen L. K.
Choi, Bum-Rak
author_facet Soepriatna, Arvin H.
Navarrete-Welton, Allison
Kim, Tae Yun
Daley, Mark C.
Bronk, Peter
Kofron, Celinda M.
Mende, Ulrike
Coulombe, Kareen L. K.
Choi, Bum-Rak
author_sort Soepriatna, Arvin H.
collection PubMed
description Recent advances in human induced pluripotent stem cell (hiPSC)-derived cardiac microtissues provide a unique opportunity for cardiotoxic assessment of pharmaceutical and environmental compounds. Here, we developed a series of automated data processing algorithms to assess changes in action potential (AP) properties for cardiotoxicity testing in 3D engineered cardiac microtissues generated from hiPSC-derived cardiomyocytes (hiPSC-CMs). Purified hiPSC-CMs were mixed with 5–25% human cardiac fibroblasts (hCFs) under scaffold-free conditions and allowed to self-assemble into 3D spherical microtissues in 35-microwell agarose gels. Optical mapping was performed to quantify electrophysiological changes. To increase throughput, AP traces from 4x4 cardiac microtissues were simultaneously acquired with a voltage sensitive dye and a CMOS camera. Individual microtissues showing APs were identified using automated thresholding after Fourier transforming traces. An asymmetric least squares method was used to correct non-uniform background and baseline drift, and the fluorescence was normalized (ΔF/F(0)). Bilateral filtering was applied to preserve the sharpness of the AP upstroke. AP shape changes under selective ion channel block were characterized using AP metrics including stimulation delay, rise time of AP upstroke, APD(30), APD(50), APD(80), APD(mxr) (maximum rate change of repolarization), and AP triangulation (APD(tri) = APD(mxr)−APD(50)). We also characterized changes in AP metrics under various ion channel block conditions with multi-class logistic regression and feature extraction using principal component analysis of human AP computer simulations. Simulation results were validated experimentally with selective pharmacological ion channel blockers. In conclusion, this simple and robust automated data analysis pipeline for evaluating key AP metrics provides an excellent in vitro cardiotoxicity testing platform for a wide range of environmental and pharmaceutical compounds.
format Online
Article
Text
id pubmed-9901774
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-99017742023-02-07 Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues Soepriatna, Arvin H. Navarrete-Welton, Allison Kim, Tae Yun Daley, Mark C. Bronk, Peter Kofron, Celinda M. Mende, Ulrike Coulombe, Kareen L. K. Choi, Bum-Rak PLoS One Research Article Recent advances in human induced pluripotent stem cell (hiPSC)-derived cardiac microtissues provide a unique opportunity for cardiotoxic assessment of pharmaceutical and environmental compounds. Here, we developed a series of automated data processing algorithms to assess changes in action potential (AP) properties for cardiotoxicity testing in 3D engineered cardiac microtissues generated from hiPSC-derived cardiomyocytes (hiPSC-CMs). Purified hiPSC-CMs were mixed with 5–25% human cardiac fibroblasts (hCFs) under scaffold-free conditions and allowed to self-assemble into 3D spherical microtissues in 35-microwell agarose gels. Optical mapping was performed to quantify electrophysiological changes. To increase throughput, AP traces from 4x4 cardiac microtissues were simultaneously acquired with a voltage sensitive dye and a CMOS camera. Individual microtissues showing APs were identified using automated thresholding after Fourier transforming traces. An asymmetric least squares method was used to correct non-uniform background and baseline drift, and the fluorescence was normalized (ΔF/F(0)). Bilateral filtering was applied to preserve the sharpness of the AP upstroke. AP shape changes under selective ion channel block were characterized using AP metrics including stimulation delay, rise time of AP upstroke, APD(30), APD(50), APD(80), APD(mxr) (maximum rate change of repolarization), and AP triangulation (APD(tri) = APD(mxr)−APD(50)). We also characterized changes in AP metrics under various ion channel block conditions with multi-class logistic regression and feature extraction using principal component analysis of human AP computer simulations. Simulation results were validated experimentally with selective pharmacological ion channel blockers. In conclusion, this simple and robust automated data analysis pipeline for evaluating key AP metrics provides an excellent in vitro cardiotoxicity testing platform for a wide range of environmental and pharmaceutical compounds. Public Library of Science 2023-02-06 /pmc/articles/PMC9901774/ /pubmed/36745602 http://dx.doi.org/10.1371/journal.pone.0280406 Text en © 2023 Soepriatna et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Soepriatna, Arvin H.
Navarrete-Welton, Allison
Kim, Tae Yun
Daley, Mark C.
Bronk, Peter
Kofron, Celinda M.
Mende, Ulrike
Coulombe, Kareen L. K.
Choi, Bum-Rak
Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues
title Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues
title_full Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues
title_fullStr Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues
title_full_unstemmed Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues
title_short Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues
title_sort action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hipsc-derived 3d cardiac microtissues
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901774/
https://www.ncbi.nlm.nih.gov/pubmed/36745602
http://dx.doi.org/10.1371/journal.pone.0280406
work_keys_str_mv AT soepriatnaarvinh actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT navarreteweltonallison actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT kimtaeyun actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT daleymarkc actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT bronkpeter actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT kofroncelindam actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT mendeulrike actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT coulombekareenlk actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues
AT choibumrak actionpotentialmetricsandautomateddataanalysispipelineforcardiotoxicitytestingusingopticallymappedhipscderived3dcardiacmicrotissues