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Quantitative high-throughput screening assays for the discovery and development of SIRPα-CD47 interaction inhibitors

机译:用于SIRPα-CD47相互作用抑制剂发现和开发的定量高通量筛选测定

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摘要

CD47 is an immune checkpoint molecule that downregulates key aspects of both the innate and adaptive anti-tumor immune response via its counter receptor SIRPα, and it is expressed at high levels in a wide variety of tumor types. This has led to the development of biologics that inhibit SIRPα engagement including humanized CD47 antibodies and a soluble SIRPα decoy receptor that are currently undergoing clinical trials. Unfortunately, toxicological issues, including anemia related to on-target mechanisms, are barriers to their clinical advancement. Another potential issue with large biologics that bind CD47 is perturbation of CD47 signaling through its high-affinity interaction with the matricellular protein thrombospondin-1 (TSP1). One approach to avoid these shortcomings is to identify and develop small molecule molecular probes and pretherapeutic agents that would (1) selectively target SIRPα or TSP1 interactions with CD47, (2) provide a route to optimize pharmacokinetics, reduce on-target toxicity and maximize tissue penetration, and (3) allow more flexible routes of administration. As the first step toward this goal, we report the development of an automated quantitative high-throughput screening (qHTS) assay platform capable of screening large diverse drug-like chemical libraries to discover novel small molecules that inhibit CD47-SIRPα interaction. Using time-resolved Förster resonance energy transfer (TR-FRET) and bead-based luminescent oxygen channeling assay formats (AlphaScreen), we developed biochemical assays, optimized their performance, and individually tested them in small-molecule library screening. Based on performance and low false positive rate, the LANCE TR-FRET assay was employed in a ~90,000 compound library qHTS, while the AlphaScreen oxygen channeling assay served as a cross-validation orthogonal assay for follow-up characterization. With this multi-assay strategy, we successfully eliminated compounds that interfered with the assays and identified five compounds that inhibit the CD47-SIRPα interaction; these compounds will be further characterized and later disclosed. Importantly, our results validate the large library qHTS for antagonists of CD47-SIRPα interaction and suggest broad applicability of this approach to screen chemical libraries for other protein-protein interaction modulators.
机译:CD47是一种免疫检查点分子,可通过其反受体SIRPα下调先天性和适应性抗肿瘤免疫反应的关键方面,并在多种肿瘤类型中高水平表达。这导致了抑制SIRPα参与的生物制剂的开发,包括目前正在临床试验中的人源化CD47抗体和可溶性SIRPα诱饵受体。不幸的是,毒理学问题,包括与靶向机制相关的贫血,是其临床进展的障碍。与CD47结合的大型生物制剂的另一个潜在问题是CD47信号通过其与基质细胞蛋白血小板反应蛋白1(TSP1)的高亲和力相互作用而受到干扰。避免这些缺点的一种方法是鉴定和开发小分子分子探针和治疗前药物,这些物质和药物将(1)选择性靶向SIRPα或TSP1与CD47的相互作用,(2)提供优化药代动力学,降低靶向毒性并最大化组织的途径(3)允许更灵活的给药途径。作为朝着这个目标迈出的第一步,我们报告了自动定量高通量筛选(qHTS)分析平台的开发,该平台能够筛选大型多样的类药物化学库,以发现抑制CD47-SIRPα相互作用的新型小分子。我们使用时间分辨的Förster共振能量转移(TR-FRET)和基于珠子的发光氧通道测定形式(AlphaScreen),开发了生化测定,优化了它们的性能,并在小分子文库筛选中进行了单独测试。基于性能和较低的假阳性率,在约90,000个化合物文库qHTS中使用了LANCE TR-FRET分析,而AlphaScreen氧通道分析则作为交叉验证正交分析用于后续表征。通过这种多重测定策略,我们成功消除了干扰测定的化合物,并鉴定出五种抑制CD47-SIRPα相互作用的化合物。这些化合物将被进一步表征并随后公开。重要的是,我们的结果验证了CD47-SIRPα相互作用拮抗剂的大型文库qHTS,并表明该方法可广泛用于筛选其他蛋白质-蛋白质相互作用调节剂的化学文库。

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