PO.ET02.09 · 实验与分子治疗
一个用于GPCR机制分析以支持癌症药物发现的综合LinkLight平台
A comprehensive LinkLight platform for GPCR mechanistic profiling to support cancer drug discovery
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:G蛋白偶联受体(GPCR)因其在肿瘤生长、血管生成和转移中的作用,日益被认为是癌症治疗中的重要靶点。LinkLight技术是一种蛋白-蛋白相互作用(PPI)检测平台,用于监测beta-arrestin向活化的G蛋白偶联受体(GPCR)的募集,可补充基于第二信使的配体活性表征检测方法。在此,我们利用共表达TEV蛋白酶标记的GPCR和环化重排荧光素酶(pLuc)标记的beta-arrestin的LinkLight稳定细胞系,在同一细胞环境中研究beta-arrestin募集、cAMP信号和钙内流。
方法:在三种代表不同G蛋白偶联类型(Gs、Gi和Gq)的GPCR LinkLight稳定细胞系中,以激动剂和拮抗剂两种模式进行基于细胞的功能检测。使用LinkLight PPI发光读数定量beta-arrestin-1/2的募集,同时根据受体类别通过cAMP或钙内流荧光测量G蛋白介导的信号传导。
结果:配体在beta-arrestin和第二信使通路中产生了一致且机制相符的反应。对于Gq偶联的ADRA1A,激动剂Cirazoline诱导了强烈的beta-arrestin-1/2募集(EC50 = 2.51×10⁻⁸ M)和钙内流(EC50 = 8.2×10⁻⁹ M),而拮抗剂Prazosin抑制了两者(beta-arrestin EC50 = 2.51×10⁻⁸ M;钙 EC50 = 2.06×10⁻⁷ M)。对于Gi偶联的ADRA2A,激动剂Brimonidine刺激了beta-arrestin-1/2募集(EC50 = 2.64×10⁻⁸ M)并抑制了cAMP(EC50 = 8.88×10⁻¹⁰ M),而拮抗剂Yohimbine阻断了beta-arrestin募集(EC50 = 1.78×10⁻⁸ M)并逆转了cAMP抑制(EC50 = 2.69×10⁻⁷ M)。对于Gs偶联的ADRB2,激动剂Fenoterol诱导了beta-arrestin-2募集(EC50 = 8.83×10⁻¹⁰ M)和cAMP信号(EC50 = 1.52×10⁻⁹ M),而拮抗剂Yohimbine(S)-Propranolol抑制了两者(beta-arrestin EC50 = 3.98×10⁻⁸ M;cAMP EC50 = 3.6×10⁻⁸ M)。在所有受体中,beta-arrestin募集与同一配体引起的G蛋白特异性信号传导相一致,证明了该综合GPCR产品组合的稳健性。
小结:通过在统一的细胞环境中同时评估beta-arrestin募集和G蛋白信号传导,LinkLight技术提供了一个全面的、具有机制信息价值的GPCR药理学平台。结合G蛋白激活数据,LinkLight技术还可支持针对癌症的GPCR药物发现中配体效力、偏向性和受体调控的高通量分析。
查看英文原文 English abstract
Background: G protein-coupled receptors (GPCRs) are increasingly recognized as important targets in cancer therapy due to their roles in tumor growth, angiogenesis, and metastasis. LinkLight technology is a protein-protein interaction (PPI) detection platform that monitors beta-arrestin recruitment to activated G protein-coupled receptors (GPCRs), complementing second messenger-based assays for ligand activity characterization. Here, we use LinkLight stable cell lines co-expressing TEV-protease-tagged GPCRs and permuted luciferase (pLuc)-tagged beta-arrestin to study beta-arrestin recruitment, cAMP signal, and calcium-influx within the same cellular context.
Methods: Cell-based functional assays were conducted in both agonist and antagonist modes across three GPCR LinkLight stable cell lines representing distinct G-protein couplings (Gs, Gi, and Gq). beta-Arrestin-1/2 recruitment was quantified using the LinkLight PPI luminescence readout, while G-protein-mediated signaling was measured via cAMP or calcium-influx fluorescence, depending on receptor class.
Results: Ligands produced consistent, mechanism-appropriate responses across beta-arrestin and second-messenger pathways. For Gq-coupled ADRA1A, the agonist Cirazoline induced robust beta-arrestin-1/2 recruitment (EC₅₀ = 2.51×10⁻⁸ M) and calcium influx (EC₅₀ = 8.2×10⁻⁹ M), while the antagonist Prazosin inhibited both (beta-arrestin EC₅₀ = 2.51×10⁻⁸ M; calcium EC₅₀ = 2.06×10⁻⁷ M). For Gi-coupled ADRA2A, the agonist Brimonidine stimulated beta-arrestin-1/2 recruitment (EC₅₀ = 2.64×10⁻⁸ M) and suppressed cAMP (EC₅₀ = 8.88×10⁻¹⁰ M), whereas the antagonist Yohimbine blocked beta-arrestin recruitment (EC₅₀ = 1.78×10⁻⁸ M) and reversed cAMP inhibition (EC₅₀ = 2.69×10⁻⁷ M). For Gs-coupled ADRB2, the agonist Fenoterol induced beta-arrestin-2 recruitment (EC₅₀ = 8.83×10⁻¹⁰ M) and cAMP signaling (EC₅₀ = 1.52×10⁻⁹ M), while the antagonist Yohimbine (S)-Propranolol inhibited both (beta-arrestin EC₅₀ = 3.98×10⁻⁸ M; cAMP EC₅₀ = 3.6×10⁻⁸ M). Across all receptors, beta-arrestin recruitment aligned with G-protein-specific signaling in response to the same ligand, demonstrating the robustness of the comprehensive GPCR portfolio.
Summary: By enabling simultaneous assessment of beta-arrestin recruitment and G-protein signaling in a unified cellular context, LinkLight technology offers a comprehensive, mechanistically informative platform for GPCR pharmacology. Integrated with G-protein activation data, LinkLight technology also supports high throughput profiling of ligand efficacy, bias, and receptor regulation for GPCR drug discovery against cancer.
利益披露 Disclosure
Y. Wan, None..
A. D. Ianni, None..
H. Ma, None..
J. Wu, None.