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用于药物发现的高内涵筛选进展。

Advances in high content screening for drug discovery.

作者信息

Giuliano Kenneth A, Haskins Jeffrey R, Taylor D Lansing

机构信息

Cellomics, Inc., Pittsburgh, Pennsylvania 15219, USA.

出版信息

Assay Drug Dev Technol. 2003 Aug;1(4):565-77. doi: 10.1089/154065803322302826.

DOI:10.1089/154065803322302826
PMID:15090253
Abstract

Cell-based target validation, secondary screening, lead optimization, and structure-activity relationships have been recast with the advent of HCS. Prior to HCS, a computational approach to the characterization of the functions of specific target proteins and other cellular constituents, along with whole-cell functions employing fluorescence cell-based assays and microscopy, required extensive interaction among the researcher, instrumentation, and software tools. Early HCS platforms were instrument-centric and addressed the need to interface fully automated fluorescence microscopy, plate-handling automation, and seamless image analysis. HCS has since evolved into an integrated solution for accelerated drug discovery by encompassing the workflow components of assay and reagent design, robust instrumentation for automated fixed-end-point and live cell kinetic analysis, generalized and specific BioApplication software (Cellomics, Pittsburgh, PA) modules that produce information on drug responses from cell image data, and informatics/bioinformatics solutions that build knowledge from this information while providing a means to globalize HCS throughout an entire organization. This review communicates how these recent advances are incorporated into the drug discovery workflow by presenting a real-world use case.

摘要

随着高内涵筛选(HCS)的出现,基于细胞的靶点验证、二次筛选、先导化合物优化以及构效关系都已被重新塑造。在HCS出现之前,一种通过基于荧光细胞分析和显微镜的全细胞功能来表征特定靶蛋白和其他细胞成分功能的计算方法,需要研究人员、仪器设备和软件工具之间进行广泛的交互。早期的HCS平台以仪器为中心,满足了将全自动荧光显微镜、板处理自动化和无缝图像分析进行对接的需求。此后,HCS已发展成为一种用于加速药物发现的集成解决方案,它涵盖了分析和试剂设计的工作流程组件、用于自动固定终点和活细胞动力学分析的强大仪器设备、从细胞图像数据生成药物反应信息的通用和特定生物应用软件(Cellomics,宾夕法尼亚州匹兹堡)模块,以及从这些信息中构建知识同时提供在整个组织中实现HCS全球化手段的信息学/生物信息学解决方案。本综述通过展示一个实际应用案例来阐述这些最新进展是如何融入药物发现工作流程的。

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