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Real-Time Detection of Cardiomyocyte Phenomena under Hypoxia via Cell Analysis iCELLigence System | OMICS International | Abstract
ISSN: 2573-4555

Journal of Traditional Medicine & Clinical Naturopathy
Open Access

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Short Communication

Real-Time Detection of Cardiomyocyte Phenomena under Hypoxia via Cell Analysis iCELLigence System

Chang-Hsun Ho1 and Chan-Yen Kuo2*

1Department of Anesthesiology, Show Chwan Memorial Hospital, Changhua, Taiwan

2Graduate Institute of Systems Biology and Bioinformatics, National Central University, Chung-li, Taiwan

Corresponding Author:
Chan-Yen Kuo
Graduate Institute of Systems Biology and Bioinformatics
National Central University, Chung-li, Taiwan
Tel: +886-3- 4227151
Fax: +886-3-4226062
E-mail: [email protected]

Received Date: December 07, 2016; Accepted Date: December 12, 2016; Published Date: December 16, 2016

Citation: Ho CH, Kuo CY (2017) Real-Time Detection of Cardiomyocyte Phenomena under Hypoxia via Cell Analysis iCELLigence System. J Tradit Med Clin Natur 6:204.

Copyright: © 2017 Ho CH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Ischemia/reperfusion (I/R) injury of cardiomyocytes is a leading cause of morbidity and mortality. Moreover, I/R injury induce overproduction of reactive oxygen species and causes cardiomyocyte death under hypoxia conditions. However, methods for monitoring cell conditions in real-time under hypoxia conditions are limited. In this study, we used a novel analysis tool, the iCELLigence System, to analyze the effect of hypoxia on H9c2 cells. The results showed that hypoxia caused cell growth inhibition or death via overproduction of reactive oxygen species.

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