Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro.
Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro.
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DOI：
10.1016/j.stemcr.2021.07.001
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发表时间：
2021-09-14
影响因子：
5.9
通讯作者：
Frega M
中科院分区：
文献类型：
--
作者：
Mossink B;Verboven AHA;van Hugte EJH;Klein Gunnewiek TM;Parodi G;Linda K;Schoenmaker C;Kleefstra T;Kozicz T;van Bokhoven H;Schubert D;Nadif Kasri N;Frega M
微电极阵列（MEAs）越来越多地用于表征人诱导多能干细胞（hiPSC）衍生神经元的神经网络活性。尽管它们越来越受欢迎，但来自hipsc衍生神经网络的MEA记录在实验设计、执行和数据分析方面并不总是充分发挥其潜力。因此，我们对来自10个健康个体控制系的mea衍生的神经元活动模式的稳健性进行了基准测试，并揭示了可比较的网络表型。为了实现标准化，我们对实验设计和分析提出了建议。有了这样的标准化，mea可以作为一个可靠的平台来区分（疾病特异性）网络表型。总之，我们表明MEAs是一种强大而强大的工具，可以从hiPSC衍生的神经网络中发现功能性神经网络表型，并为hiPSC领域使用MEAs进行疾病表型和药物发现提供了重要资源。MEAs是模拟神经网络功能的强大工具，来自不同健康供体的神经网络显示出可比较的网络活动，MEAs能够区分疾病特异性的神经网络表型。我们提出了在MEA上标准化神经网络记录的建议。在本文中，Mossink及其同事证明，微电极阵列（MEAs）是一种高度强大的工具，可以揭示hipsc衍生的兴奋性神经网络中基因型/表型相互作用。为在MEA上设计、执行和分析hipsc衍生的神经网络提供了重要的资源。
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. 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.
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DOI：
10.1083/jcb.85.3.890
发表时间：
1980-06
期刊：
The Journal of cell biology
影响因子：
--
作者：
McCarthy KD;de Vellis J
通讯作者：
de Vellis J
影响因子：
3.7
作者：
Biffi E;Regalia G;Menegon A;Ferrigno G;Pedrocchi A
通讯作者：
Pedrocchi A
DOI：
10.1038/nrn.2016.46
发表时间：
2016-07
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Mertens J;Marchetto MC;Bardy C;Gage FH
通讯作者：
Gage FH
影响因子：
1.2
作者：
Hyysalo, Anu;Ristola, Mervi;Narkilahti, Susanna
通讯作者：
Narkilahti, Susanna
DOI：
10.1073/pnas.0910012107
发表时间：
2010-03-02
影响因子：
11.1
作者：
Hu, Bao-Yang;Weick, Jason P.;Zhang, Su-Chun
通讯作者：
Zhang, Su-Chun