Department of Molecular and Cellular Oncology, University of Mainz, Langenbeckstrasse 1, 55101 Mainz, Germany; E-Mail:
Sensors (Basel). 2009;9(7):5423-45. doi: 10.3390/s90705423. Epub 2009 Jul 9.
Fluorescent protein biosensors are powerful cellular systems biology tools for dissecting the complexity of cellular processes with high spatial and temporal resolution. As regulated nucleo-cytoplasmic transport is crucial for the modulation of numerous (patho)physiological cellular responses, a detailed understanding of its molecular mechanism would open up novel options for a rational manipulation of the cell. In contrast to genetic approaches, we here established and employed high-content cellular translocation biosensors applicable for dissecting nuclear export by chemicogenomics. A431 cell lines, stably expressing a translocation biosensor composed of glutathione S-transferase, GFP and a rational combination of nuclear import and export signals, were engineered by antibiotic selection and flow cytometry sorting. Using an optimized nuclear translocation algorithm, the translocation response could be robustly quantified on the Cellomics Arrayscan(®) VTI platform. Subsequent to assay optimization, the assay was developed into a higher density 384-well format high-content assay and employed for the screening of the 17K ChemBioNet compound collection. This library was selected on the basis of a genetic algorithm used to identify maximum common chemical substructures in a database of annotated bioactive molecules and hence, is well-placed in the chemical space covered by bioactive compounds. Automated multiparameter data analysis combined with visual inspection allowed us to identify and to rationally discriminate true export inhibitors from false positives, which included fluorescent compounds or cytotoxic substances that dramatically affected the cellular morphology. A total of 120 potential hit compounds were selected for Cellomics Arrayscan(®) VTI based rescreening. The export inhibitory activity of 20 compounds effective at concentrations < 25 μM were confirmed by fluorescence microscopy in several cell lines. Interestingly, kinetic analysis allowed the identification of inhibitors capable to interfere with the export receptor CRM1-mediated nuclear export not only in an irreversible, but also in a reversible fashion. In sum, exploitation of biosensor based screening allows the identification of chemicogenomic tools applicable for dissecting nucleo-cytoplasmic transport in living cells.
荧光蛋白生物传感器是一种强大的细胞系统生物学工具,可用于高时空分辨率地剖析细胞过程的复杂性。由于调节核质转运对于许多(病理)生理细胞反应的调节至关重要,因此深入了解其分子机制将为合理操纵细胞开辟新的选择。与遗传方法相反,我们在这里建立并使用了高内涵细胞易位生物传感器,可用于通过化学基因组学剖析核输出。通过抗生素选择和流式细胞分选,工程化了 A431 细胞系,其稳定表达由谷胱甘肽 S-转移酶、GFP 和核输入和输出信号的合理组合组成的易位生物传感器。使用优化的核易位算法,可以在 Cellomics Arrayscan(®)VTIV 平台上稳健地定量易位反应。在优化测定法之后,将该测定法开发成更高密度的 384 孔格式高内涵测定法,并用于筛选 17K ChemBioNet 化合物库。该文库是基于用于在注释生物活性分子数据库中识别最大公共化学亚结构的遗传算法选择的,因此很好地位于生物活性化合物涵盖的化学空间中。自动化多参数数据分析与目视检查相结合,使我们能够识别并合理区分真正的出口抑制剂和假阳性,假阳性包括荧光化合物或严重影响细胞形态的细胞毒性物质。总共选择了 120 种有效浓度<25μM 的潜在命中化合物进行 Cellomics Arrayscan(®)VTIV 基于再筛选。在几种细胞系中,通过荧光显微镜证实了 20 种有效浓度<25μM 的化合物的出口抑制活性。有趣的是,动力学分析允许鉴定出不仅能以不可逆方式,而且能以可逆方式干扰出口受体 CRM1 介导的核输出的抑制剂。总之,基于生物传感器的筛选的利用允许鉴定适用于剖析活细胞中核质转运的化学基因组学工具。