An Optical-Flow-Based Method to Quantify Dynamic Behavior of Human Pluripotent Stem Cell-Derived Cardiomyocytes in Disease Modeling Platforms.
| Autor: | Izadifar M; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada. mohammad.izadifar@utoronto.ca., Berecz T; Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary., Apáti Á; Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary., Nagy A; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.; Australian Regenerative Medicine Institute, Monash University, Melbourne, VIC, Australia.; Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada.; Institute of Medical Science, University of Toronto, Toronto, ON, Canada. |
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| Jazyk: | angličtina |
| Zdroj: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2022; Vol. 2454, pp. 213-230. |
| DOI: | 10.1007/7651_2021_382 |
| Abstrakt: | Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) hold great promise for cardiovascular disease modeling, drug screening and personalized medicine. A crucial requirement to establish an hPSC-CM-based disease model is the availability of a reliable differentiation protocol and a functional assessment of phenotypic properties of CMs in a disease context. Characterization of relative changes in contractile behavior of CMs can provide insight not only about drug effects but into the pathogenesis of cardiovascular diseases. Image-based optical-flow analysis, which applies a speckle tracking algorithm to videomicroscopy of hPSC-CMs, is a noninvasive method to quantitatively assess the dynamics of mechanical contraction of the CMs. This method offers an efficient characterization of contractile cycles. It quantifies contraction velocity field, beat rate, contractile strain and contraction-relaxation strain rate profile, which are important phenotypic characteristics of CMs. (© 2021. Springer Science+Business Media, LLC.) |
| Databáze: | MEDLINE |
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