National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
SLAS Discov. 2020 Jan;25(1):9-20. doi: 10.1177/2472555219873068. Epub 2019 Sep 9.
Cell-based phenotypic screening is a commonly used approach to discover biological pathways, novel drug targets, chemical probes, and high-quality hit-to-lead molecules. Many hits identified from high-throughput screening campaigns are ruled out through a series of follow-up potency, selectivity/specificity, and cytotoxicity assays. Prioritization of molecules with little or no cytotoxicity for downstream evaluation can influence the future direction of projects, so cytotoxicity profiling of screening libraries at an early stage is essential for increasing the likelihood of candidate success. In this study, we assessed the cell-based cytotoxicity of nearly 10,000 compounds in the National Institutes of Health, National Center for Advancing Translational Sciences annotated libraries and more than 100,000 compounds in a diversity library against four normal cell lines (HEK 293, NIH 3T3, CRL-7250, and HaCat) and one cancer cell line (KB 3-1, a HeLa subline). This large-scale library profiling was analyzed for overall screening outcomes, hit rates, pan-activity, and selectivity. For the annotated library, we also examined the primary targets and mechanistic pathways regularly associated with cell death. To our knowledge, this is the first study to use high-throughput screening to profile a large screening collection (>100,000 compounds) for cytotoxicity in both normal and cancer cell lines. The results generated here constitute a valuable resource for the scientific community and provide insight into the extent of cytotoxic compounds in screening libraries, allowing for the identification and avoidance of compounds with cytotoxicity during high-throughput screening campaigns.
基于细胞表型的筛选是一种常用于发现生物途径、新的药物靶点、化学探针和高质量的先导化合物的方法。从高通量筛选实验中鉴定出的许多化合物需要通过一系列后续的效力、选择性/特异性和细胞毒性实验来排除。对于下游评估,优先选择具有低细胞毒性或无细胞毒性的分子可以影响项目的未来方向,因此在早期对筛选文库进行细胞毒性分析对于提高候选药物的成功几率至关重要。在这项研究中,我们评估了近 10000 种化合物在国立卫生研究院(National Institutes of Health)、国家转化医学推进中心(National Center for Advancing Translational Sciences)注释文库中的细胞毒性,以及 100000 多种化合物在多样性文库中的细胞毒性,这些化合物针对四种正常细胞系(HEK 293、NIH 3T3、CRL-7250 和 HaCat)和一种癌细胞系(KB 3-1,HeLa 亚系)。对大规模文库进行了全面的筛选结果分析,包括命中率、广谱活性和选择性。对于注释文库,我们还研究了与细胞死亡相关的主要靶点和机制途径。据我们所知,这是第一项使用高通量筛选技术对包括正常和癌细胞系在内的大型筛选库进行细胞毒性分析的研究。这里产生的结果为科学界提供了有价值的资源,并深入了解了筛选库中细胞毒性化合物的程度,从而可以在高通量筛选实验中识别和避免具有细胞毒性的化合物。