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用于鉴定高通量细胞形态学分析中细胞损伤的参考化合物。

Reference compounds for characterizing cellular injury in high-content cellular morphology assays.

机构信息

National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.

Chemical Biology and Therapeutics Science Program, Broad Institute, Cambridge, MA, USA.

出版信息

Nat Commun. 2023 Mar 13;14(1):1364. doi: 10.1038/s41467-023-36829-x.

Abstract

Robust, generalizable approaches to identify compounds efficiently with undesirable mechanisms of action in complex cellular assays remain elusive. Such a process would be useful for hit triage during high-throughput screening and, ultimately, predictive toxicology during drug development. Here we generate cell painting and cellular health profiles for 218 prototypical cytotoxic and nuisance compounds in U-2 OS cells in a concentration-response format. A diversity of compounds that cause cellular damage produces bioactive cell painting morphologies, including cytoskeletal poisons, genotoxins, nonspecific electrophiles, and redox-active compounds. Further, we show that lower quality lysine acetyltransferase inhibitors and nonspecific electrophiles can be distinguished from more selective counterparts. We propose that the purposeful inclusion of cytotoxic and nuisance reference compounds such as those profiled in this resource will help with assay optimization and compound prioritization in complex cellular assays like cell painting.

摘要

在复杂的细胞检测中,能够高效识别具有不良作用机制的化合物的稳健、可推广的方法仍然难以捉摸。这样的过程对于高通量筛选中的命中分类以及药物开发中的预测毒理学都将是非常有用的。在这里,我们以浓度反应的方式,为 U-2 OS 细胞中的 218 种典型细胞毒性和干扰化合物生成细胞染色和细胞健康特征。多种导致细胞损伤的化合物会产生生物活性的细胞染色形态,包括细胞骨架毒物、遗传毒物、非特异性亲电试剂和氧化还原活性化合物。此外,我们还表明,可以将质量较低的赖氨酸乙酰转移酶抑制剂和非特异性亲电试剂与更具选择性的化合物区分开来。我们提出,在像细胞染色这样的复杂细胞检测中,有目的地包含细胞毒性和干扰参考化合物(如本资源中所描绘的那些化合物)将有助于优化检测和化合物优先级排序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/10011410/04246f1f56a0/41467_2023_36829_Fig1_HTML.jpg

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