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用于评估分化神经元细胞系和人胚胎干细胞衍生神经元神经毒性的多参数高内涵分析

Multiparametric High Content Analysis for assessment of neurotoxicity in differentiated neuronal cell lines and human embryonic stem cell-derived neurons.

作者信息

Wilson Melinda S, Graham James R, Ball Andrew J

机构信息

Science & Technology Group, Bioscience Division, EMD Millipore Corporation, 290 Concord Road, Billerica, MA 01821, USA.

Science & Technology Group, Bioscience Division, EMD Millipore Corporation, 290 Concord Road, Billerica, MA 01821, USA.

出版信息

Neurotoxicology. 2014 May;42:33-48. doi: 10.1016/j.neuro.2014.03.013. Epub 2014 Apr 3.

Abstract

The potential for adverse neurotoxic reactions in response to therapeutics and environmental hazards continues to prompt development of novel cell-based assays to determine neurotoxic risk. A challenge remains to characterize and understand differences between assays and between neuronal cellular models in their responses to neurotoxicants if scientists are to determine the optimal model, or combination of models, for neurotoxicity screening. Most studies to date have focused on developmental neurotoxicity applications. This study reports the development of a robust multiparameter High Content Analysis (HCA) assay for neurotoxicity screening in three differentiated neuronal cell models - SH-SY5Y, PC12 and human embryonic stem cell-derived hN2™ cells. Using a multiplexed detection reagent panel (Hoechst nuclear stain; antibodies against βIII-Tubulin and phosphorylated neurofilament subunit H, and Mitotracker(®) Red CMXRos), a multiparametric HCA assay was developed and used to characterize a test set of 36 chemicals. HCA data generated were compared to data generated using MTT and LDH assays under the same assay conditions. Data showed that multiparametric High Content Analysis of differentiated neuronal cells is feasible, and represents a highly effective method for obtaining large quantities of robust data on the neurotoxic effects of compounds compared with cytotoxicity assays like MTT and LDH. Significant differences were observed between the responses to compounds across the three cellular models tested, illustrating the heterogeneity in responses to neurotoxicants across different cell types. This study provides data strongly supporting the use of cellular imaging as a tool for neurotoxicity assessment in differentiated neuronal cells, and provides novel insights into the neurotoxic effects of a test set of compounds upon differentiated neuronal cell lines and human embryonic stem cell-derived neurons.

摘要

治疗药物和环境危害引发不良神经毒性反应的可能性,持续推动着新型细胞检测方法的开发,以确定神经毒性风险。如果科学家们要确定用于神经毒性筛查的最佳模型或模型组合,那么如何表征和理解不同检测方法以及神经元细胞模型对神经毒物反应之间的差异,仍是一个挑战。迄今为止,大多数研究都集中在发育性神经毒性应用方面。本研究报告了一种用于在三种分化的神经元细胞模型——SH-SY5Y、PC12和人胚胎干细胞衍生的hN2™细胞中进行神经毒性筛查的强大多参数高内涵分析(HCA)检测方法的开发。使用多重检测试剂组(Hoechst核染色剂;抗βIII-微管蛋白和磷酸化神经丝亚基H的抗体,以及MitoTracker® Red CMXRos),开发了一种多参数HCA检测方法,并用于表征36种化学物质的测试集。将生成的HCA数据与在相同检测条件下使用MTT和LDH检测生成的数据进行比较。数据表明,对分化的神经元细胞进行多参数高内涵分析是可行的,并且与MTT和LDH等细胞毒性检测方法相比,是一种获取关于化合物神经毒性效应大量可靠数据的高效方法。在所测试的三种细胞模型中,观察到对化合物的反应存在显著差异,这说明了不同细胞类型对神经毒物反应的异质性。本研究提供的数据有力地支持了将细胞成像作为评估分化神经元细胞神经毒性的工具,并为一组测试化合物对分化神经元细胞系和人胚胎干细胞衍生神经元的神经毒性效应提供了新见解。

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