Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro

Mossink, B.; Verboven, A. H. A.; van Hugte, E. J. H.; Klein Gunnewiek, T. M.; Parodi, G.; Linda, K.; Schoenmaker, C.; Kleefstra, T.; Kozicz, T.; van Bokhoven, H.; Schubert, D.; Nadif Kasri, N.; Frega, M.

doi:10.1101/2021.01.20.427439

bioRxiv · 10.1101/2021.01.20.427439

Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro

Mossink, B.·Verboven, A. H. A.·van Hugte, E. J. H.·Klein Gunnewiek, T. M.·Parodi, G.·Linda, K.·Schoenmaker, C.·Kleefstra, T.·Kozicz, T.·van Bokhoven, H.·Schubert, D.·Nadif Kasri, N.·Frega, M.

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Abstract

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 and sensitivity of MEA-derived neuronal activity patterns derived from ten healthy individual control lines. We provide recommendations on experimental design and analysis to achieve standardization. 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 towards the use of MEAs for disease-phenotyping and drug discovery.

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Mossink, B., Verboven, A. H. A., van Hugte, E. J. H., Klein Gunnewiek, T. M., Parodi, G., Linda, K., Schoenmaker, C., Kleefstra, T., Kozicz, T., van Bokhoven, H., Schubert, D., Nadif Kasri, N., Frega, M.. 2021-01-21. Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro. https://doi.org/10.1101/2021.01.20.427439

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