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Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro
Stem Cell Reports ( IF 5.9 ) Pub Date : 2021-07-29 , DOI: 10.1016/j.stemcr.2021.07.001
Britt Mossink 1 , Anouk H A Verboven 2 , Eline J H van Hugte 3 , Teun M Klein Gunnewiek 4 , Giulia Parodi 5 , Katrin Linda 5 , Chantal Schoenmaker 5 , Tjitske Kleefstra 5 , Tamas Kozicz 6 , Hans van Bokhoven 7 , Dirk Schubert 7 , Nael Nadif Kasri 7 , Monica Frega 8
Affiliation  

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.



中文翻译:

微电极阵列上的人类神经元网络是在体外研究疾病特异性基因型-表型相关性的高度可靠的工具

微电极阵列 (MEA) 越来越多地用于表征人类诱导多能干细胞 (hiPSC) 衍生神经元的神经元网络活动。尽管它们越来越受欢迎,但来自 hiPSC 衍生的神经元网络的 MEA 记录并不总是在实验设计、执行和数据分析方面充分发挥其潜力。因此,我们对来自 10 个健康个体对照线的 MEA 衍生神经元活动模式的稳健性进行了基准测试,并发现了可比较的网络表型。为了实现标准化,我们提供有关实验设计和分析的建议。通过这种标准化,MEA 可以用作区分(特定疾病)网络表型的可靠平台。综上所述,

更新日期:2021-09-14
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