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

机译:识别抑制自噬的小分子:表型使用基于图像的高内涵细胞分析的屏幕

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摘要

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.
机译:自噬在癌症中起着重要的作用,并且已经表明自噬不仅起着抑制肿瘤的作用,可以阻止肿瘤的发生,而且还可以作为一种生存前的途径,帮助肿瘤细胞承受新陈代谢的压力并抵抗由化学治疗剂引起的死亡,包括获得的抵抗力。我们旨在通过基于细胞表型的表型,使用HTS / HCA方法鉴定小分子自噬抑制剂,以便同时筛选多个生物学靶标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,LC3经历了细胞质从弥散点到点状点的重新分布。我们采用了在主要表型筛选中稳定表达EGFP-LC3的HeLa细胞。第一步,一式两份运行“验证库”,其中包含约8,000种预选化合物,其中约25%具有已知的生物活性,其他代表多种化学结构,同时评估筛选的适用性和可能的​​命中率,并为可能的活性结构或生物靶标提供有价值的预览。对约25万种化合物的初步筛选产生了约10,500种阳性化合物。在一套旨在消除不必要的阳性反应的进一步细胞分析方法中,对这些方法进行了测试,并应用了化学和生物信息学技术来挑选出具有已知生物学活性的化合物。这些过程使得能够选择最有希望的活性和特异性的化合物。筛选“树”鉴定出对自噬相关生物学靶标ULK或Vsp34具有活性的化学序列(除尚未确定的靶标之外),从而验证了所选的表型筛选方法。最后,在进行此分类之后,约有400种化合物完全合格。描述了测定方法,化合物筛选过程和化合物分类的发展。

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