Frontiers in PhysiologyBioengineeringPeer-reviewed journal article
CardioMEA: Comprehensive Data Analysis Platform for Studying Cardiac Diseases and Drug Responses
Jihyun LeeiD, Eliane Duperrex, Ibrahim El‐BattrawyiD, Alyssa HohniD, Ardan Muammer SaguneriD, Fırat DuruiD, Vishalini EmmeneggeriD, Lukas CyganekiD, Andreas R. HierlemanniD, Hasan UluşaniD
Abstract
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, a gap exists between technological advancements of HD-MEAs and the availability of effective data-analysis platforms. To address this need, we introduce CardioMEA, a comprehensive data-analysis platform designed specifically for HD-MEA data that have been obtained from iPSC-CMs. 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. 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, user-friendly platform for studying cardiac diseases and assessing drug effects.
- organism: human
- assay: electrophysiology
- research focus: drug response / drug discovery
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 7
- FWCI
- 1.97
- Field percentile
- top 11%
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