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The network formation assay: a spatially standardized neurite outgrowth analytical display for neurotoxicity screening

机译:网络形成分析:用于神经毒性筛查的空间标准化神经突向外生长分析显示器

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摘要

We present a rapid, reproducible and sensitive neurotoxicity testing platform that combines the benefits of neurite outgrowth analysis with cell patterning. This approach involves patterning neuronal cells within a hexagonal array to standardize the distance between neighbouring cellular nodes, and thereby standardize the length of the neurite interconnections. This feature coupled with defined assay coordinates provides a streamlined display for rapid and sensitive analysis. We have termed this the network formation assay (NFA). To demonstrate the assay we have used a novel cell patterning technique involving thin film poly(dimethylsiloxane) (PDMS) microcontact printing. Differentiated human SH-SY5Y neuroblastoma cells colonized the array with high efficiency, reliably producing pattern occupancies above 70%. The neuronal array surface supported neurite outgrowth, resulting in the formation of an interconnected neuronal network. Exposure to acrylamide, a neurotoxic reference compound, inhibited network formation. A dose-response curve from the NFA was used to determine a 20% network inhibition (NI_(20)) value of 260 μM. This concentration was approximately 10-fold lower than the value produced by a routine cell viability assay, and demonstrates that the NFA can distinguish network formation inhibitory effects from gross cytotoxic effects. Inhibition of the mitogen-activated protein kinase (MAPK) ERK1/2 and phosphoinositide-3-kinase (PI-3K) signaling pathways also produced a dose-dependent reduction in network formation at non-cytotoxic concentrations. To further refine the assay a simulation was developed to manage the impact of pattern occupancy variations on network formation probability. Together these developments and demonstrations highlight the potential of the NFA to meet the demands of high-throughput applications in neurotoxicology and neurodevelopmental biology.
机译:我们提供了一个快速,可重复且敏感的神经毒性测试平台,该平台将神经突生长分析的优势与细胞模式相结合。该方法涉及在六边形阵列中对神经元细胞进行图案化,以标准化相邻细胞节点之间的距离,从而标准化神经突互连的长度。此功能与已定义的测定坐标相结合,可提供简化的显示,以进行快速,灵敏的分析。我们称其为网络形成分析(NFA)。为了证明该测定方法,我们使用了一种新型的细胞图案化技术,该技术涉及薄膜聚二甲基硅氧烷(PDMS)微接触印刷。分化的人类SH-SY5Y神经母细胞瘤细胞高效定居于阵列中,可可靠地产生70%以上的模式占用率。神经元阵列表面支持神经突生长,导致形成相互连接的神经元网络。暴露于具有神经毒性的参考化合物丙烯酰胺可抑制网络形成。来自NFA的剂量反应曲线用于确定260μM的20%网络抑制(NI_(20))值。该浓度比常规细胞活力测定法产生的浓度低约10倍,表明NFA可以将网络形成抑制作用与总细胞毒性作用区分开。抑制有丝分裂原激活的蛋白激酶(MAPK)ERK1 / 2和磷酸肌醇3激酶(PI-3K)信号通路在非细胞毒性浓度下也可剂量依赖性地减少网络形成。为了进一步完善测定方法,开发了一种模拟软件来管理模式占用率变化对网络形成概率的影响。这些发展和演示共同强调了NFA满足神经毒理学和神经发育生物学中高通量应用需求的潜力。

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