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首页> 外文期刊>Journal of biomolecular screening: The official journal of the Society for Biomolecular Screening >Translation of a tumor microenvironment mimicking 3D tumor growth co-culture assay platform to high-content screening
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Translation of a tumor microenvironment mimicking 3D tumor growth co-culture assay platform to high-content screening

机译：模拟3D肿瘤生长共培养测定平台的肿瘤微环境向高内涵筛选的翻译

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摘要

For drug discovery, cell-based assays are becoming increasingly complex to mimic more realistically the nature of biological processes and their diversifications in diseases. Multicellular co-cultures embedded in a three-dimensional (3D) matrix have been explored in oncology to more closely approximate the physiology of the human tumor microenvironment. High-content analysis is the ideal technology to characterize these complex biological systems, although running such complex assays at higher throughput is a major endeavor. Here, we report on adapting a 3D tumor co-culture growth assay to automated microscopy, and we compare various imaging platforms (confocal vs. nonconfocal) with correlating automated image analysis solutions to identify optimal conditions and settings for future larger scaled screening campaigns. The optimized protocol has been validated in repeated runs where established anticancer drugs have been evaluated for performance in this innovative assay.
机译：对于药物发现，基于细胞的测定法变得越来越复杂，以更实际地模拟生物过程的性质及其在疾病中的多样性。已在肿瘤学中探索了嵌入三维（3D）矩阵中的多细胞共培养物，以更接近地近似人类肿瘤微环境的生理学。高含量分析是表征这些复杂生物系统的理想技术，尽管这是一项主要工作，但要以更高的通量运行此类复杂的测定法。在这里，我们报道了将3D肿瘤共培养生长测定法应用于自动显微镜的方法，并比较了各种成像平台（共聚焦与非共聚焦）和相关的自动化图像分析解决方案，以识别最佳条件和设置，以应对未来的大规模筛查活动。该优化方案已在重复运行中得到验证，其中已评估了已建立的抗癌药物在该创新测定中的性能。

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