Identifying Small Molecules which Inhibit Autophagy: a Phenotypic Screen Using Image-Based High-Content Cell Analysis.

J V Peppard, C Rugg, M Smicker, C Dureuil, B Ronan, O Flamand, L Durand, B Pasquier
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引用次数: 30

Abstract

Autophagy plays an important role in cancer and it has been suggested that it functions not only as a tumor suppressor pathway to prevent tumor initiation, but also as a pro-survival pathway that helps tumor cells endure metabolic stress and resist death triggered by chemotherapeutic agents, including acquired resistance. We aimed to identify small-molecule autophagy inhibitors using a HTS/HCA approach through a phenotypic, cell image-based assay, in order to screen multiple biological targets simultaneously and to screen compounds in a physiologically relevant environment. LC3 is a component of the autophagosome, which undergoes a cytoplasmic redistribution from diffuse to punctate dots during autophagy. We employed HeLa cells stably expressing EGFP-LC3 in a primary phenotypic screen. As a first step, a "Validation Library" of about 8,000 pre-selected compounds, about 25% of which had known biological activity and the others representing a range of chemical structures, was run in duplicate both to assess screening suitability and likely hit rate, and to give a valuable preview of possible active structures or biological targets. The primary screen of about 0.25 million compounds yielded around 10,500 positive compounds. These were tested in a suite of further cellular assays designed to eliminate unwanted positives, together with the application of chemi- and bioinformatics to pick out compounds with known biological activity. These processes enabled the selection of compounds that were the most promisingly active and specific. The screening "tree" identified, amongst others with as yet unidentified targets, chemical series active against autophagy-relevant biological targets ULK or Vsp34, validating the phenotypic screening methods selected. Finally, about 400 compounds were fully qualified after following this triage. The development of the assays, compound screening process and the compound triage is described.

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鉴定抑制自噬的小分子:使用基于图像的高含量细胞分析的表型筛选。
自噬在癌症中起着重要的作用,研究表明,自噬不仅作为肿瘤抑制途径阻止肿瘤的发生,而且作为促生存途径,帮助肿瘤细胞承受代谢应激,抵抗化疗药物引发的死亡,包括获得性耐药。我们的目标是利用HTS/HCA方法通过表型、基于细胞图像的检测来鉴定小分子自噬抑制剂,以便同时筛选多个生物靶点,并在生理相关环境中筛选化合物。LC3是自噬体的一个组成部分,在自噬过程中,它经历了细胞质从弥漫性到点状点的重新分布。我们使用稳定表达EGFP-LC3的HeLa细胞进行初级表型筛选。作为第一步,一个包含约8000个预先选择的化合物的“验证库”,其中约25%具有已知的生物活性,其余代表一系列化学结构,一式两份运行,以评估筛选的适用性和可能的命中率,并给出可能的活性结构或生物靶标的有价值的预览。在25万种化合物的初步筛选中,得到约10500种阳性化合物。在一系列进一步的细胞试验中对这些化合物进行测试,这些细胞试验旨在消除不必要的阳性反应,同时应用化学和生物信息学来挑选出具有已知生物活性的化合物。这些过程使选择最有希望的活性和特异性的化合物成为可能。筛选“树”确定了靶点尚未确定的化学系列,这些化学系列对自噬相关的生物靶点ULK或Vsp34有活性,验证了所选择的表型筛选方法。最后,约有400种化合物在经过这种分类后完全合格。介绍了检测方法的发展、复合筛选过程和复合分类。
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