Cargando…

Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay

We examined characteristics of the propagation of conduction in width-controlled cardiomyocyte cell networks for understanding the contribution of the geometrical arrangement of cardiomyocytes for their local fluctuation distribution. We tracked a series of extracellular field potentials of linearly...

Descripción completa

Detalles Bibliográficos
Autores principales: Sakamoto, Kazufumi, Aoki, Shota, Tanaka, Yuhei, Shimoda, Kenji, Hondo, Yoshitsune, Yasuda, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765075/
https://www.ncbi.nlm.nih.gov/pubmed/33327568
http://dx.doi.org/10.3390/mi11121105
_version_ 1783628406522380288
author Sakamoto, Kazufumi
Aoki, Shota
Tanaka, Yuhei
Shimoda, Kenji
Hondo, Yoshitsune
Yasuda, Kenji
author_facet Sakamoto, Kazufumi
Aoki, Shota
Tanaka, Yuhei
Shimoda, Kenji
Hondo, Yoshitsune
Yasuda, Kenji
author_sort Sakamoto, Kazufumi
collection PubMed
description We examined characteristics of the propagation of conduction in width-controlled cardiomyocyte cell networks for understanding the contribution of the geometrical arrangement of cardiomyocytes for their local fluctuation distribution. We tracked a series of extracellular field potentials of linearly lined-up human embryonic stem (ES) cell-derived cardiomyocytes and mouse primary cardiomyocytes with 100 kHz sampling intervals of multi-electrodes signal acquisitions and an agarose microfabrication technology to localize the cardiomyocyte geometries in the lined-up cell networks with 100–300 μm wide agarose microstructures. Conduction time between two neighbor microelectrodes (300 μm) showed Gaussian distribution. However, the distributions maintained their form regardless of its propagation distances up to 1.5 mm, meaning propagation diffusion did not occur. In contrast, when Quinidine was applied, the propagation time distributions were increased as the faster firing regulation simulation predicted. The results indicate the “faster firing regulation” is not sufficient to explain the conservation of the propagation time distribution in cardiomyocyte networks but should be expanded with a kind of community effect of cell networks, such as the lower fluctuation regulation.
format Online
Article
Text
id pubmed-7765075
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77650752020-12-27 Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay Sakamoto, Kazufumi Aoki, Shota Tanaka, Yuhei Shimoda, Kenji Hondo, Yoshitsune Yasuda, Kenji Micromachines (Basel) Article We examined characteristics of the propagation of conduction in width-controlled cardiomyocyte cell networks for understanding the contribution of the geometrical arrangement of cardiomyocytes for their local fluctuation distribution. We tracked a series of extracellular field potentials of linearly lined-up human embryonic stem (ES) cell-derived cardiomyocytes and mouse primary cardiomyocytes with 100 kHz sampling intervals of multi-electrodes signal acquisitions and an agarose microfabrication technology to localize the cardiomyocyte geometries in the lined-up cell networks with 100–300 μm wide agarose microstructures. Conduction time between two neighbor microelectrodes (300 μm) showed Gaussian distribution. However, the distributions maintained their form regardless of its propagation distances up to 1.5 mm, meaning propagation diffusion did not occur. In contrast, when Quinidine was applied, the propagation time distributions were increased as the faster firing regulation simulation predicted. The results indicate the “faster firing regulation” is not sufficient to explain the conservation of the propagation time distribution in cardiomyocyte networks but should be expanded with a kind of community effect of cell networks, such as the lower fluctuation regulation. MDPI 2020-12-14 /pmc/articles/PMC7765075/ /pubmed/33327568 http://dx.doi.org/10.3390/mi11121105 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sakamoto, Kazufumi
Aoki, Shota
Tanaka, Yuhei
Shimoda, Kenji
Hondo, Yoshitsune
Yasuda, Kenji
Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay
title Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay
title_full Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay
title_fullStr Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay
title_full_unstemmed Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay
title_short Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay
title_sort geometric understanding of local fluctuation distribution of conduction time in lined-up cardiomyocyte network in agarose-microfabrication multi-electrode measurement assay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765075/
https://www.ncbi.nlm.nih.gov/pubmed/33327568
http://dx.doi.org/10.3390/mi11121105
work_keys_str_mv AT sakamotokazufumi geometricunderstandingoflocalfluctuationdistributionofconductiontimeinlinedupcardiomyocytenetworkinagarosemicrofabricationmultielectrodemeasurementassay
AT aokishota geometricunderstandingoflocalfluctuationdistributionofconductiontimeinlinedupcardiomyocytenetworkinagarosemicrofabricationmultielectrodemeasurementassay
AT tanakayuhei geometricunderstandingoflocalfluctuationdistributionofconductiontimeinlinedupcardiomyocytenetworkinagarosemicrofabricationmultielectrodemeasurementassay
AT shimodakenji geometricunderstandingoflocalfluctuationdistributionofconductiontimeinlinedupcardiomyocytenetworkinagarosemicrofabricationmultielectrodemeasurementassay
AT hondoyoshitsune geometricunderstandingoflocalfluctuationdistributionofconductiontimeinlinedupcardiomyocytenetworkinagarosemicrofabricationmultielectrodemeasurementassay
AT yasudakenji geometricunderstandingoflocalfluctuationdistributionofconductiontimeinlinedupcardiomyocytenetworkinagarosemicrofabricationmultielectrodemeasurementassay