ArticleScientific reports2017
Community effect of cardiomyocytes in beating rhythms is determined by stable cells.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A Multi-Task Deep Learning Framework for Characterizing Beating Behavior and Synchrony in Cardiomyocyte Clusters.Bioengineering (Basel, Switzerland) · 2026Article
- Coordination of cardiogenesis in vivo and in vitro.Nature reviews. Molecular cell biology · 2026Review
- Bioprinting approaches in cardiac tissue engineering to reproduce blood-pumping heart function.iScience · 2025Review
- Controlling discharge mode in electrical activities of myocardial cell using mixed frequencies magnetic radiation.Heliyon · 2022Article
- Emergent synchronous beating behavior in spontaneous beating cardiomyocyte clusters.Scientific reports · 2021Article
- Monitoring Contractile Cardiomyocytes via Impedance Using Multipurpose Thin Film Ruthenium Oxide Electrodes.Sensors (Basel, Switzerland) · 2021Article
- Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay.Micromachines · 2020Article
- Dominant rule of community effect in synchronized beating behavior of cardiomyocyte networks.Biophysical reviews · 2020Review
- Biophysics at Waseda University.Biophysical reviews · 2020Article
- Exploring cardiac form and function: A length-scale computational biology approach.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- On-chip spatiotemporal electrophysiological analysis of human stem cell derived cardiomyocytes enables quantitative assessment of proarrhythmia in drug development.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The community effect of cardiomyocytes was investigated in silico by the change in number and features of cells, as well as configurations of networks. The theoretical model was based on experimental data and accurately reproduced recently published experimental results regarding coupled cultured cardiomyocytes. We showed that the synchronised beating of two coupled cells was tuned not to the cell with a faster beating rate, but to the cell with a more stable rhythm. In a network of cardiomyocytes, a cell with low fluctuation, but not a hight frequency, became a pacemaker and stabilised the beating rhythm. Fluctuation in beating rapidly decreased with an increase in the number of cells (N), almost irrespective of the configuration of the network, and a cell comes to have natural and stable beating rhythms, even for N of approximately 10. The universality of this community effect lies in the fluctuation-dissipation theorem in statistical mechanics.
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Registered trials
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