Electrophysiological Phenotype Characterization of Human iPSC‐Derived Neuronal Cell Lines by Means of High‐Density Microelectrode Arrays
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Date
2021-03Type
- Journal Article
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Abstract
Recent advances in the field of cellular reprogramming have opened a route to studying the fundamental mechanisms underlying common neurological disorders. High‐density microelectrode‐arrays (HD‐MEAs) provide unprecedented means to study neuronal physiology at different scales, ranging from network through single‐neuron to subcellular features. In this work, HD‐MEAs are used in vitro to characterize and compare human induced‐pluripotent‐stem‐cell‐derived dopaminergic and motor neurons, including isogenic neuronal lines modeling Parkinson's disease and amyotrophic lateral sclerosis. Reproducible electrophysiological network, single‐cell and subcellular metrics are used for phenotype characterization and drug testing. Metrics, such as burst shape and axonal velocity, enable the distinction of healthy and diseased neurons. The HD‐MEA metrics can also be used to detect the effects of dosing the drug retigabine to human motor neurons. Finally, it is shown that the ability to detect drug effects and the observed culture‐to‐culture variability critically depend on the number of available recording electrodes. © 2021 Wiley-VCH Show more
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publishedExternal links
Journal / series
Advanced BiologyVolume
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Publisher
WileySubject
Electrophysiology; High-density microelectrode arrays; Induced pluripotent stem cellsOrganisational unit
03684 - Hierlemann, Andreas / Hierlemann, Andreas
Funding
694829 - Microtechnology and integrated microsystems to investigate neuronal networks across scales (EC)
875609 - HD-MEA-based Neuronal Assays and Network Analysis for Phenotypic Drug Screenings (EC)
188910 - Deciphering Neuronal Networks: Advancing Technology and Model Systems (SNF)
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Show all metadata
Citations
Cited 20 times in
Web of Science
Cited 21 times in
Scopus
ETH Bibliography
yes
Altmetrics