Clausell-Tormos Jenifer, Griffiths Andrew D, Merten Christoph A
Institut de Science et d'Ingénierie Supramoléculaires, Université de Strasbourg, 8 Allée Gaspard Monge, 67083 Strasbourg Cedex, France.
Comb Chem High Throughput Screen. 2010 May;13(4):352-7. doi: 10.2174/138620710791054312.
Cell-based assays for the inhibition of viral infections most commonly couple a positive signal (e.g., an increase in fluorescence) to the infection itself and not to its inhibition. When performing drug screens, compounds decreasing the signal are therefore considered as putative inhibitors. However, this approach can cause the selection of many false positives, since, for example, both killing of the host cell and inhibiting viral cell-entry results in the same signal. Using a model system based on murine leukemia virus (MLV) particles pseudotyped with the G-protein of vesicular stomatitis virus (VSV-G), we have developed generic assays coupling a positive readout to the inhibition of viral transduction. Consequently, the system favors drug candidates (and concentrations thereof) that do not harm human cells and significantly decreases the probability for selecting false positives. The assay allows Z-factors of approximately 0.9, takes cytotoxic side effects into account and could in theory be adapted for high-throughput screening of inhibitors against further viral species.
用于抑制病毒感染的基于细胞的检测方法通常将阳性信号(例如荧光增加)与感染本身而非其抑制作用相关联。因此,在进行药物筛选时,降低信号的化合物被视为潜在抑制剂。然而,这种方法可能导致选择许多假阳性,因为例如宿主细胞的杀伤和病毒进入细胞的抑制都会产生相同的信号。利用基于用水泡性口炎病毒(VSV-G)的G蛋白假型化的小鼠白血病病毒(MLV)颗粒的模型系统,我们开发了将阳性读数与病毒转导抑制相关联的通用检测方法。因此,该系统有利于不损害人类细胞的候选药物(及其浓度),并显著降低选择假阳性的概率。该检测方法的Z因子约为0.9,考虑了细胞毒性副作用,理论上可适用于针对其他病毒种类的抑制剂的高通量筛选。