微电极阵列筛选神经毒性

Jenifer A. Bradley, Christopher J. Strock
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引用次数: 19

摘要

神经毒性和癫痫性尿源性责任很难用目前可用的体外细胞毒性测定法检测。这主要是由于这些分析预测不利的神经网络中断和化学诱导的扰动的固有局限性。在投入了大量的时间和金钱资源之后,这些有害影响中的许多都是通过体内研究发现的。由于这些晚期不可预见的副作用,在药物发现过程的早期实施可靠的高通量体外方法来评估癫痫诱导和神经毒性化合物的作用将是理想的。我们已经开发出一种体外筛选工具来识别导致神经毒性和癫痫性尿源效应的化学实体。本文介绍了48孔微电极阵列(MEA)平台的制备和使用,以及定制的数据分析算法和商业上可用的分析工具,利用低温保存的大鼠皮层神经元产生的记录的spike文件数据来筛选神经毒性和癫痫致尿效应。©2018 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening for Neurotoxicity with Microelectrode Array

Neurotoxicity and seizurogenic liabilities are difficult to detect using currently available in vitro cytotoxicity assays. This is primarily due to the inherent limitations of these assays to predict adverse neural network disruptions and chemically induced perturbations. Many of these detrimental effects are detected with in vivo studies after substantial time and monetary resources have already been invested. Due to these late-stage unforeseen side effects, the implementation of a reliable high throughput in vitro method for assessing seizure-inducing and neurotoxic compound effects early in the drug discovery process would be ideal. We have developed an in vitro screening tool to identify chemical entities that cause neurotoxic and seizurogenic effects. This article describes the preparation and use of a 48-well microelectrode array (MEA) platform along with custom data analysis algorithms and commercially available analysis tools to screen for neurotoxic liabilities and seizurogenic effects using recorded spike file data generated from cryogenically preserved rat cortical neurons. © 2018 by John Wiley & Sons, Inc.

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