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CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes

Calcium transient analysis is central to understanding inherited and acquired cardiac physiology and disease. Although the development of novel calcium reporters enables assays of CRISPR/Cas-9 genome-edited induced pluripotent stem cell–derived cardiomyocytes and primary adult cardiomyocytes, existi...

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Autores principales: Psaras, Yiangos, Margara, Francesca, Cicconet, Marcelo, Sparrow, Alexander J., Repetti, Giuliana G., Schmid, Manuel, Steeples, Violetta, Wilcox, Jonathan A.L., Bueno-Orovio, Alfonso, Redwood, Charles S., Watkins, Hugh C., Robinson, Paul, Rodriguez, Blanca, Seidman, Jonathan G., Seidman, Christine E., Toepfer, Christopher N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260473/
https://www.ncbi.nlm.nih.gov/pubmed/34018815
http://dx.doi.org/10.1161/CIRCRESAHA.121.318868
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author Psaras, Yiangos
Margara, Francesca
Cicconet, Marcelo
Sparrow, Alexander J.
Repetti, Giuliana G.
Schmid, Manuel
Steeples, Violetta
Wilcox, Jonathan A.L.
Bueno-Orovio, Alfonso
Redwood, Charles S.
Watkins, Hugh C.
Robinson, Paul
Rodriguez, Blanca
Seidman, Jonathan G.
Seidman, Christine E.
Toepfer, Christopher N.
author_facet Psaras, Yiangos
Margara, Francesca
Cicconet, Marcelo
Sparrow, Alexander J.
Repetti, Giuliana G.
Schmid, Manuel
Steeples, Violetta
Wilcox, Jonathan A.L.
Bueno-Orovio, Alfonso
Redwood, Charles S.
Watkins, Hugh C.
Robinson, Paul
Rodriguez, Blanca
Seidman, Jonathan G.
Seidman, Christine E.
Toepfer, Christopher N.
author_sort Psaras, Yiangos
collection PubMed
description Calcium transient analysis is central to understanding inherited and acquired cardiac physiology and disease. Although the development of novel calcium reporters enables assays of CRISPR/Cas-9 genome-edited induced pluripotent stem cell–derived cardiomyocytes and primary adult cardiomyocytes, existing calcium-detection technologies are often proprietary and require specialist equipment, whereas open-source workflows necessitate considerable user expertise and manual input. OBJECTIVE: We aimed to develop an easy to use open-source, adaptable, and automated analysis pipeline for measuring cellular calcium transients, from image stack to data output, inclusive of cellular identification, background subtraction, photobleaching correction, calcium transient averaging, calcium transient fitting, data collation, and aberrant behavior recognition. METHODS AND RESULTS: We developed CalTrack, a MatLab-based algorithm, to monitor fluorescent calcium transients in living cardiomyocytes, including isolated single cells or those contained in 3-dimensional tissues or organoids, and to analyze data acquired using photomultiplier tubes or employing line scans. CalTrack uses masks to segment cells allowing multiple cardiomyocyte transients to be measured from a single field of view. After automatically correcting for photobleaching, CalTrack averages and fits a string of transients and provides parameters that measure time to peak, time of decay, tau, peak fluorescence/baseline fluorescence (F(max)/F(0)), and others. We demonstrate the utility of CalTrack in primary and induced pluripotent stem cell–derived cell lines in response to pharmacological compounds and in phenotyping cells carrying hypertrophic cardiomyopathy variants. CONCLUSIONS: CalTrack, an open-source tool that runs on a local computer, provides automated high-throughput analysis of calcium transients in response to development, genetic or pharmacological manipulations, and pathological conditions. We expect that CalTrack analyses will accelerate insights into physiological and abnormal calcium homeostasis that influence diverse aspects of cardiomyocyte biology.
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spelling pubmed-82604732021-07-08 CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes Psaras, Yiangos Margara, Francesca Cicconet, Marcelo Sparrow, Alexander J. Repetti, Giuliana G. Schmid, Manuel Steeples, Violetta Wilcox, Jonathan A.L. Bueno-Orovio, Alfonso Redwood, Charles S. Watkins, Hugh C. Robinson, Paul Rodriguez, Blanca Seidman, Jonathan G. Seidman, Christine E. Toepfer, Christopher N. Circ Res Original Research Calcium transient analysis is central to understanding inherited and acquired cardiac physiology and disease. Although the development of novel calcium reporters enables assays of CRISPR/Cas-9 genome-edited induced pluripotent stem cell–derived cardiomyocytes and primary adult cardiomyocytes, existing calcium-detection technologies are often proprietary and require specialist equipment, whereas open-source workflows necessitate considerable user expertise and manual input. OBJECTIVE: We aimed to develop an easy to use open-source, adaptable, and automated analysis pipeline for measuring cellular calcium transients, from image stack to data output, inclusive of cellular identification, background subtraction, photobleaching correction, calcium transient averaging, calcium transient fitting, data collation, and aberrant behavior recognition. METHODS AND RESULTS: We developed CalTrack, a MatLab-based algorithm, to monitor fluorescent calcium transients in living cardiomyocytes, including isolated single cells or those contained in 3-dimensional tissues or organoids, and to analyze data acquired using photomultiplier tubes or employing line scans. CalTrack uses masks to segment cells allowing multiple cardiomyocyte transients to be measured from a single field of view. After automatically correcting for photobleaching, CalTrack averages and fits a string of transients and provides parameters that measure time to peak, time of decay, tau, peak fluorescence/baseline fluorescence (F(max)/F(0)), and others. We demonstrate the utility of CalTrack in primary and induced pluripotent stem cell–derived cell lines in response to pharmacological compounds and in phenotyping cells carrying hypertrophic cardiomyopathy variants. CONCLUSIONS: CalTrack, an open-source tool that runs on a local computer, provides automated high-throughput analysis of calcium transients in response to development, genetic or pharmacological manipulations, and pathological conditions. We expect that CalTrack analyses will accelerate insights into physiological and abnormal calcium homeostasis that influence diverse aspects of cardiomyocyte biology. Lippincott Williams & Wilkins 2021-05-21 2021-07-09 /pmc/articles/PMC8260473/ /pubmed/34018815 http://dx.doi.org/10.1161/CIRCRESAHA.121.318868 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Circulation Research is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Research
Psaras, Yiangos
Margara, Francesca
Cicconet, Marcelo
Sparrow, Alexander J.
Repetti, Giuliana G.
Schmid, Manuel
Steeples, Violetta
Wilcox, Jonathan A.L.
Bueno-Orovio, Alfonso
Redwood, Charles S.
Watkins, Hugh C.
Robinson, Paul
Rodriguez, Blanca
Seidman, Jonathan G.
Seidman, Christine E.
Toepfer, Christopher N.
CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
title CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
title_full CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
title_fullStr CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
title_full_unstemmed CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
title_short CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
title_sort caltrack: high-throughput automated calcium transient analysis in cardiomyocytes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260473/
https://www.ncbi.nlm.nih.gov/pubmed/34018815
http://dx.doi.org/10.1161/CIRCRESAHA.121.318868
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