Evidence map›Paper›PMID 40307643›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Compound Testing of Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes Using Multi-Well Microelectrode Arrays.

Udo Kraushaar

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Udo KraushaarDepartment of Pharma & Biotech, Electrophysiology, NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen, Germany. udo.kraushaar@nmi.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cardiac action potential is a highly orchestrated process that depends on the precise timing of activation and inactivation of various ion channel subtypes. Any deviation from this carefully regulated sequence, such as the blockage of specific voltage-gated potassium channels, can disrupt the electrical balance and lead to life-threatening arrhythmias. Standard cellular assays, which typically rely on cells engineered to express only a single ion channel subtype, have significant limitations in accurately predicting a compound's effects on the heart. These limitations often result in prematurely rejecting many potentially promising compounds during the early stages of drug development.To address this, there is an increasing demand for more physiologically relevant and predictive functional assays. The emergence of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) has revolutionized this field by offering assays that are more representative of human cardiac physiology. These cells not only provide a more accurate model for assessing drug effects but also support the development of patient-derived disease models, offering personalized insights into cardiac health.Microelectrode array (MEA) systems have become a crucial tool in this context, enabling the non-invasive recording and analysis of cardiac field action potentials from cultured hiPSC-CMs. These systems provide a platform to monitor the electrical activity of cardiomyocytes in real time, offering valuable data on the electrophysiological properties of cardiac cells under various conditions. This chapter presents a comprehensive protocol for cultivating hiPSC-CMs on two parallelized MEA systems. We also outline a strategic approach for conducting compound testing, designed to maximize the predictive power of these assays and enhance their application in safety pharmacology.

Indexed as

Induced Pluripotent Stem CellsMyocytes, CardiacAction PotentialsCell Culture TechniquesCell DifferentiationCells, CulturedDrug Evaluation, PreclinicalHumansMicroelectrodesCompound testinghiPSHuman induced pluripotent stem cell-derived cardiomyocytesMEAMicroelectrode arraySafety pharmacology

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.