Literature DB >> 32829174

Label-free conduction velocity mapping and gap junction assessment of functional iPSC-Cardiomyocyte monolayers.

Wenkun Dou1, Qili Zhao2, Manpreet Malhi3, Xingjian Liu1, Zhuoran Zhang1, Li Wang1, Stephane Masse4, Kumaraswamy Nanthakumar4, Robert Hamilton5, Jason T Maynes6, Yu Sun7.   

Abstract

Cardiac conduction is an important function of the heart. To date, accurate measurement of conduction velocity (CV) in vitro is hindered by the low spatial resolution and poor signal-to-noise ratio of microelectrode arrays (MEAs), or the cytotoxicity and end-point analysis of fluorescence optical imaging. Here, we have developed a new label-free method based on defocused brightfield imaging to quantify CV by analyzing centroid displacements and contraction trajectories of each cardiomyocyte in a monolayer of human stem cell-derived cardiomyocytes (iPSC-CMs). Our data revealed that the time delay between intracellular calcium release and the initiation of cell contraction is highly consistent across cardiomyocytes; however, the duration a cell takes to reach its maximum beating magnitude varies significantly, proving that the time delay in excitation-contraction coupling is largely constant in iPSC-CMs. Standard calcium imaging of the same iPSC-CM populations (~106 cells) was conducted for comparison with our label-free method. The results confirmed that our label-free method was capable of achieving highly accurate CV mapping (17.64 ± 0.89 cm/s vs. 17.95 ± 2.29 cm/s, p-value>0.1). Additionally, our method effectively revealed various shapes in cell beating pattern. We also performed label-free CV mapping on disease-specific iPSC-CM monolayers with plakophilin-2 (PKP2) knockdown, which effectively quantified their low CV values and further validated the arrhythmogenic role of PKP2 mutation in arrhythmogenic right ventricular cardiomyopathy (ARVC) through the disruption of cardiac conduction. The label-free method offers a cytotoxic-free technique for long-term measurement of dynamic beating trajectories, beating propagation and conduction velocities of cardiomyocyte monolayers.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arrhythmia; Beating trajectories; Conduction velocity; Excitation-contraction coupling; Label-free mapping; iPSC-cardiomyocyte

Mesh:

Year:  2020        PMID: 32829174     DOI: 10.1016/j.bios.2020.112468

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  5 in total

Review 1.  Modeling Nonischemic Genetic Cardiomyopathies Using Induced Pluripotent Stem Cells.

Authors:  Tarek Khedro; Jason M Duran; Eric D Adler
Journal:  Curr Cardiol Rep       Date:  2022-06-03       Impact factor: 3.955

2.  Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.

Authors:  Yuncheng Man; Debnath Maji; Ran An; Sanjay P Ahuja; Jane A Little; Michael A Suster; Pedram Mohseni; Umut A Gurkan
Journal:  Lab Chip       Date:  2021-03-05       Impact factor: 6.799

3.  Autophagy and Endoplasmic Reticulum Stress during Onset and Progression of Arrhythmogenic Cardiomyopathy.

Authors:  Mark Pitsch; Sebastian Kant; Corinna Mytzka; Rudolf E Leube; Claudia A Krusche
Journal:  Cells       Date:  2021-12-29       Impact factor: 6.600

4.  Micropattern platform promotes extracellular matrix remodeling by human PSC-derived cardiac fibroblasts and enhances contractility of co-cultured cardiomyocytes.

Authors:  B N Napiwocki; A Stempien; D Lang; R A Kruepke; G Kim; J Zhang; L L Eckhardt; A V Glukhov; T J Kamp; W C Crone
Journal:  Physiol Rep       Date:  2021-10

Review 5.  Microengineered platforms for characterizing the contractile function of in vitro cardiac models.

Authors:  Wenkun Dou; Manpreet Malhi; Qili Zhao; Li Wang; Zongjie Huang; Junhui Law; Na Liu; Craig A Simmons; Jason T Maynes; Yu Sun
Journal:  Microsyst Nanoeng       Date:  2022-02-28       Impact factor: 7.127

  5 in total

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