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An Automated High-Throughput Cell-Based Multiplexed Flow Cytometry Assay to Identify Novel Compounds to Target Candida albicans Virulence-Related Proteins

机译:基于高通量细胞的自动化流式细胞术测定,以鉴定新型化合物靶向白色念珠菌毒力相关蛋白

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摘要

Although three major classes of systemic antifungal agents are clinically available, each is characterized by important limitations. Thus, there has been considerable ongoing effort to develop novel and repurposed agents for the therapy of invasive fungal infections. In an effort to address these needs, we developed a novel high-throughput, multiplexed screening method that utilizes small molecules to probe candidate drug targets in the opportunistic fungal pathogen Candida albicans. This method is amenable to high-throughput automated screening and is based upon detection of changes in GFP levels of individually tagged target proteins. We first selected four GFP-tagged membrane-bound proteins associated with virulence or antifungal drug resistance in C. albicans. We demonstrated proof-of-principle that modulation of fluorescence intensity can be used to assay the expression of specific GFP-tagged target proteins to inhibitors (and inducers), and this change is measurable within the HyperCyt automated flow cytometry sampling system. Next, we generated a multiplex of differentially color-coded C. albicans strains bearing C-terminal GFP-tags of each gene encoding candidate drug targets incubated in the presence of small molecules from the Prestwick Chemical Library in 384-well microtiter plate format. Following incubation, cells were sampled through the HyperCyt system and modulation of protein levels, as indicated by changes in GFP-levels of each strain, was used to identify compounds of interest. The hit rate for both inducers and inhibitors identified in the primary screen did not exceed 1% of the total number of compounds in the small-molecule library that was probed, as would be expected from a robust target-specific, high-throughput screening campaign. Secondary assays for virulence characteristics based on null mutant strains were then used to further validate specificity. In all, this study presents a method for the identification and verification of new antifungal drugs targeted to fungal virulence proteins using C. albicans as a model fungal pathogen.
机译:尽管临床上可获得三种主要的全身性抗真菌药,但每种药物都有重要的局限性。因此,已经进行了相当大的努力来开发用于治疗侵袭性真菌感染的新颖的和重新用途的药剂。为了满足这些需求,我们开发了一种新颖的高通量,多重筛选方法,该方法利用小分子探测机会性真菌病原体白色念珠菌中的候选药物靶标。该方法适用于高通量自动筛选,并且基于检测单个标记的目标蛋白的GFP水平变化。我们首先选择了四个与白色念珠菌的毒力或抗真菌药物耐药性相关的带有GFP标签的膜结合蛋白。我们证明了原理证明,荧光强度的调制可用于检测特定的带有GFP标记的靶蛋白对抑制剂(和诱导剂)的表达,这种变化在HyperCyt自动流式细胞仪采样系统中是可测量的。接下来,我们生成了带有不同颜色编码的白色念珠菌菌株的多重菌株,每个菌株带有C端GFP标签,每个菌株编码候选药物靶标的基因,在存在小分子的情况下以384孔微量滴定板格式在Prestwick Chemical Library中孵育。孵育后,通过HyperCyt系统对细胞进行采样,并按照每种菌株的GFP水平变化来调节蛋白质水平,以鉴定目标化合物。初步筛选中确定的诱导物和抑制剂的命中率均不超过所探查的小分子文库中化合物总数的1%,这可从强大的靶标特异性,高通量筛选活动中预期。然后使用基于无效突变株的毒力特征的二级测定法进一步验证特异性。总之,这项研究提出了一种利用白色念珠菌作为模型真菌病原体鉴定和验证针对真菌毒力蛋白的新型抗真菌药物的方法。

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