Biased Activation Mechanism Induced by GPCR Heterodimerization: Observations from μOR/δOR Dimers

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Xin Chen, Yuan Yuan, Yichi Chen, Jin Yu, Jingzhou Wang, Jianfang Chen, Yanzhi Guo and Xuemei Pu*, 
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引用次数: 2

Abstract

GPCRs regulate multiple intracellular signaling cascades. Biasedly activating one signaling pathway over the others provides additional clinical utility to optimize GPCR-based therapies. GPCR heterodimers possess different functions from their monomeric states, including their selectivity to different transducers. However, the biased signaling mechanism induced by the heterodimerization remains unclear. Motivated by the issue, we select an important GPCR heterodimer (μOR/δOR heterodimer) as a case and use microsecond Gaussian accelerated molecular dynamics simulation coupled with potential of mean force and protein structure network (PSN) to probe mechanisms regarding the heterodimerization-induced constitutive β-arrestin activity and efficacy change of the agonist DAMGO. The results show that only the lowest energy state of the μOR/δOR heterodimer, which adopts a slightly outward shift of TM6 and an ICL2 conformation close to the receptor core, can selectively accommodate β-arrestins. PSN further reveals important roles of H8, ICL1, and ICL2 in regulating the constitutive β-arrestin-biased activity for the apo μOR/δOR heterodimer. In addition, the heterodimerization can allosterically alter the binding mode of DAMGO mainly by means of W7.35. Consequently, DAMGO transmits the structural signal mainly through TM6 and TM7 in the dimer, rather than TM3 similar to the μOR monomer, thus changing the efficacy of DAMGO from a balanced agonist to the β-arrestin-biased one. On the other side, the binding of DAMGO to the heterodimer can stabilize μOR/δOR heterodimers through a stronger interaction of TM1/TM1 and H8/H8, accordingly enhancing the interaction of μOR with δOR and the binding affinity of the dimer to the β-arrestin. The agonist DAMGO does not change main compositions of the regulation network from the dimer interface to the transducer binding pocket of the μOR protomer, but induces an increase in the structural communication of the network, which should contribute to the enhanced β-arrestin coupling. Our observations, for the first time, reveal the molecular mechanism of the biased signaling induced by the heterodimerization for GPCRs, which should be beneficial to more comprehensively understand the GPCR bias signaling.

Abstract Image

GPCR异源二聚体诱导的偏置活化机制:来自μOR/δOR二聚体的观察
gpcr调控多种细胞内信号级联反应。偏倚地激活一种信号通路而不是其他信号通路,为优化基于gpcr的治疗提供了额外的临床效用。GPCR异源二聚体具有不同于其单体状态的功能,包括对不同传感器的选择性。然而,由异源二聚化引起的偏倚信号传导机制尚不清楚。基于这一问题,我们选择了一种重要的GPCR异二聚体(μOR/δOR异二聚体)为例,采用微秒高斯加速分子动力学模拟,结合平均力势和蛋白结构网络(PSN),探讨了激动剂DAMGO异二聚诱导的本构型β-阻滞蛋白活性和药效变化的机制。结果表明,μOR/δOR异源二聚体的最低能态,即TM6略微向外移动和靠近受体核心的ICL2构象,可以选择性地容纳β-阻滞蛋白。PSN进一步揭示了H8、ICL1和ICL2在调节载脂蛋白μOR/δOR异源二聚体的β-抑制蛋白偏倚活性中的重要作用。此外,异源二聚化反应主要通过W7.35改变DAMGO的结合方式。因此,DAMGO主要通过二聚体中的TM6和TM7传递结构信号,而不是像μOR单体那样通过TM3传递结构信号,从而使DAMGO的功效从平衡型激动剂转变为偏向β-抑制蛋白的激动剂。另一方面,DAMGO与异源二聚体的结合可以通过TM1/TM1与H8/H8更强的相互作用来稳定μOR/δOR异源二聚体,从而增强了μOR与δOR的相互作用以及二聚体与β-抑制蛋白的结合亲和力。激动剂DAMGO不会改变μOR原聚体的二聚体界面到传感器结合袋的调节网络的主要组成,但会引起网络结构通信的增加,这可能有助于增强β-抑制素的偶联。本研究首次揭示了GPCR异源二聚化诱导偏倚信号的分子机制,有助于更全面地理解GPCR偏倚信号。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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