一种快速、廉价、高通量的神经突生长筛选方法。

Susan T Yeyeodu, Sam M Witherspoon, Nailya Gilyazova, Gordon C Ibeanu
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引用次数: 29

摘要

神经突生长测定是最常见的表型筛选,以评估对神经细胞的化学作用。目前的自动化分析涉及昂贵的设备,冗长的样品制备和处理,昂贵的试剂和缓慢的数据采集和分析速度。我们开发了一种用于神经突生长的高通量筛选(HTS),使用强大的神经细胞模型,结合快速廉价的可视化方法,减少数据量和快速数据分析。以PC12的亚克隆Neuroscreen-1 (NS-1)细胞作为模型神经元,NS-1细胞生长迅速,对神经生长因子的敏感性增强。该方法通过使用表达GFP的细胞或用HCS CellMask(™)Red染色的天然细胞,在30分钟的多路固定和染色步骤中减少了制备时间。与目前的协议相比,2x2相机分箱处理将图像数据文件和分析时间分别减少了75%和60%。此外,在蒙太奇生成过程中消除自动对焦步骤减少了数据收集时间。NGF和SU6656刺激和抑制神经突生长的药理学特征与目前利用免疫荧光检测微管蛋白的标准方法相当。通过对Prestwick化合物文库中1,120个成员的神经突生长的增强作用进行分析,该方法鉴定了6个分子,包括乙托苷、醋酸异氟预酮、醋酸氟可的松、硫鸟苷、氧苯丁酮和赤霉酸,这些分子在2 ng/ml NGF的作用下使神经突质量增加了一倍以上。这个简单的程序代表了一个重要的常规方法,在高通量筛选大型化学文库使用神经突生长表型作为化学分子对神经元细胞的影响的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A rapid, inexpensive high throughput screen method for neurite outgrowth.

Neurite outgrowth assays are the most common phenotypic screen to assess chemical effects on neuronal cells. Current automated assays involve expensive equipment, lengthy sample preparation and handling, costly reagents and slow rates of data acquisition and analysis. We have developed a high throughput screen (HTS) for neurite outgrowth using a robust neuronal cell model coupled to fast and inexpensive visualization methods, reduced data volume and rapid data analysis. Neuroscreen-1 (NS-1) cell, a subclone of PC12, possessing rapid growth and enhanced sensitivity to NGF was used as a model neuron. This method reduces preparation time by using cells expressing GFP or native cells stained with HCS CellMask(™) Red in a multiplexed 30 min fixation and staining step. A 2x2 camera binning process reduced both image data files and analysis times by 75% and 60% respectively, compared to current protocols. In addition, eliminating autofocus steps during montage generation reduced data collection time. Pharmacological profiles for stimulation and inhibition of neurite outgrowth by NGF and SU6656 were comparable to current standard method utilizing immunofluorescence detection of tubulin. Potentiation of NGF-induced neurite outgrowth by members of a 1,120-member Prestwick compound library as assayed using this method identified six molecules, including etoposide, isoflupredone acetate, fludrocortisone acetate, thioguanosine, oxyphenbutazone and gibberellic acid, that more than doubled the neurite mass primed by 2 ng/ml NGF. This simple procedure represents an important routine approach in high throughput screening of large chemical libraries using the neurite outgrowth phenotype as a measure of the effects of chemical molecules on neuronal cells.

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