CardioMEA: comprehensive data analysis platform for studying cardiac diseases and drug responses.

IF 3.2 3区 医学 Q2 PHYSIOLOGY
Frontiers in Physiology Pub Date : 2024-10-30 eCollection Date: 2024-01-01 DOI:10.3389/fphys.2024.1472126
Jihyun Lee, Eliane Duperrex, Ibrahim El-Battrawy, Alyssa Hohn, Ardan M Saguner, Firat Duru, Vishalini Emmenegger, Lukas Cyganek, Andreas Hierlemann, Hasan Ulusan
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引用次数: 0

Abstract

Introduction: In recent years, high-density microelectrode arrays (HD-MEAs) have emerged as a valuable tool in preclinical research for characterizing the electrophysiology of human induced pluripotent stem-cell-derived cardiomyocytes (iPSC-CMs). HD-MEAs enable the capturing of both extracellular and intracellular signals on a large scale, while minimizing potential damage to the cell. However, despite technological advancements of HD-MEAs, there is a lack of effective data-analysis platforms that are capable of processing and analyzing the data, particularly in the context of cardiac arrhythmias and drug testing.

Methods: To address this need, we introduce CardioMEA, a comprehensive data-analysis platform designed specifically for HD-MEA data that have been obtained from iPSCCMs. CardioMEA features scalable data processing pipelines and an interactive web-based dashboard for advanced visualization and analysis. In addition to its core functionalities, CardioMEA incorporates modules designed to discern crucial electrophysiological features between diseased and healthy iPSC-CMs. Notably, CardioMEA has the unique capability to analyze both extracellular and intracellular signals, thereby facilitating customized analyses for specific research tasks.

Results and discussion: We demonstrate the practical application of CardioMEA by analyzing electrophysiological signals from iPSC-CM cultures exposed to seven antiarrhythmic drugs. CardioMEA holds great potential as an intuitive, userfriendly platform for studying cardiac diseases and assessing drug effects.

CardioMEA:用于研究心脏疾病和药物反应的综合数据分析平台。
简介近年来,高密度微电极阵列(HD-MEAs)已成为临床前研究中表征人类诱导多能干细胞衍生心肌细胞(iPSC-CMs)电生理学的重要工具。HD-MEAs 能够大规模捕捉细胞外和胞内信号,同时将对细胞的潜在损害降至最低。然而,尽管 HD-MEAs 技术不断进步,但仍缺乏有效的数据分析平台来处理和分析数据,尤其是在心律失常和药物测试方面:为了满足这一需求,我们推出了 CardioMEA,这是一个专门针对从 iPSCCMs 获得的 HD-MEA 数据而设计的综合数据分析平台。CardioMEA 具有可扩展的数据处理管道和基于网络的交互式仪表板,可用于高级可视化和分析。除核心功能外,CardioMEA 还集成了一些模块,旨在辨别患病和健康 iPSC-CM 之间的关键电生理特征。值得注意的是,CardioMEA 具有分析细胞外和细胞内信号的独特能力,从而方便了针对特定研究任务的定制分析:通过分析暴露于七种抗心律失常药物的 iPSC-CM 培养物的电生理信号,我们展示了 CardioMEA 的实际应用。作为研究心脏疾病和评估药物效果的直观、用户友好型平台,CardioMEA 具有巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
5.00%
发文量
2608
审稿时长
14 weeks
期刊介绍: Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
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