Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro
| Autor: | Giulia Parodi, Teun M. Klein Gunnewiek, Nael Nadif Kasri, Tjitske Kleefstra, Monica Frega, Hans van Bokhoven, Anouk H.A. Verboven, Katrin Linda, Dirk Schubert, Tamas Kozicz, Chantal Schoenmaker, Eline J.H. van Hugte, B. Mossink |
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| Přispěvatelé: | Clinical Neurophysiology, TechMed Centre |
| Rok vydání: | 2021 |
| Předmět: |
Disease specific
neuronal network activity UT-Gold-D Computer science Cell Culture Techniques Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13] Action Potentials Biology Biochemistry Article Mice Lab-On-A-Chip Devices Micro electrode Genetics Biological neural network Animals Humans Premovement neuronal activity Induced pluripotent stem cell Electrodes neuronal differentiation Genotype-Phenotype Correlations Cells Cultured Genetic Association Studies Neurons Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] Drug discovery food and beverages Robustness (evolution) Cell Differentiation Cell Biology Microarray Analysis Phenotype human induced pluripotent stem cells micro-electrode arrays Nerve Net Neuroscience Developmental Biology |
| Zdroj: | Stem Cell Reports, 16, 9, pp. 2182-2196 Stem Cell Reports, 16, 2182-2196 Stem Cell Reports Stem cell reports, 16(9), 2182-2196. Cell Press |
| ISSN: | 2213-6711 |
| Popis: | Summary Micro-electrode arrays (MEAs) are increasingly used to characterize neuronal network activity of human induced pluripotent stem cell (hiPSC)-derived neurons. Despite their gain in popularity, MEA recordings from hiPSC-derived neuronal networks are not always used to their full potential in respect to experimental design, execution, and data analysis. Therefore, we benchmarked the robustness of MEA-derived neuronal activity patterns from ten healthy individual control lines, and uncover comparable network phenotypes. To achieve standardization, we provide recommendations on experimental design and analysis. With such standardization, MEAs can be used as a reliable platform to distinguish (disease-specific) network phenotypes. In conclusion, we show that MEAs are a powerful and robust tool to uncover functional neuronal network phenotypes from hiPSC-derived neuronal networks, and provide an important resource to advance the hiPSC field toward the use of MEAs for disease phenotyping and drug discovery. Highlights • MEAs are a robust tool to model neuronal network functioning • Neuronal networks from different healthy donors show comparable network activity • MEAs are able to distinguish disease-specific neuronal network phenotypes • We provide recommendations to standardize neuronal network recordings on MEA In this article, Mossink and colleagues demonstrate that micro-electrode arrays (MEAs) are a highly robust tool to uncover genotype/phenotype interactions in hiPSC-derived excitatory neuronal networks, and provide an important resource for the design, execution, and analysis of hiPSC-derived neuronal networks studies on MEA. |
| Databáze: | OpenAIRE |
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