Laboratoire de Biologie Physico-Chimique des Protéines Membranaires, UMR7099, CNRS/Université; Paris Diderot, Sorbonne Paris Cité, Institut de Biologie Physico-Chimique (FRC 550), 13 rue Pierre et Marie Curie, 75005, Paris, France.
Institut des Biomoléćules Max Mousseron (IBMM), UMR 5247 CNRS, Université; Montpellier, ENSCM, 15 av. Charles Flahault, 34093, Montpellier, France.
Mol Cell Endocrinol. 2019 Mar 15;484:69-77. doi: 10.1016/j.mce.2018.12.019. Epub 2019 Jan 25.
Understanding the signal transduction mechanism mediated by the G Protein-Coupled Receptors (GPCRs) in eukaryote cells represents one of the main issues in modern biology. At the molecular level, various biophysical approaches have provided important insights on the functional plasticity of these complex allosteric machines. In this context, X-ray crystal structures published during the last decade represent a major breakthrough in GPCR structural biology, delivering important information on the activation process of these receptors through the description of the three-dimensional organization of their active and inactive states. In complement to crystals and cryo-electronic microscopy structures, information on the probability of existence of different GPCR conformations and the dynamic barriers separating those structural sub-states is required to better understand GPCR function. Among the panel of techniques available, nuclear magnetic resonance (NMR) spectroscopy represents a powerful tool to characterize both conformational landscapes and dynamics. Here, we will outline the potential of NMR to address such biological questions, and we will illustrate the functional insights that NMR has brought in the field of GPCRs in the recent years.
了解真核细胞中 G 蛋白偶联受体 (GPCR) 介导的信号转导机制是现代生物学的主要问题之一。在分子水平上,各种生物物理方法为这些复杂的变构机器的功能可塑性提供了重要的见解。在这方面,过去十年发表的 X 射线晶体结构代表了 GPCR 结构生物学的重大突破,通过描述它们的激活状态和失活状态的三维结构,提供了关于这些受体激活过程的重要信息。除了晶体和冷冻电子显微镜结构外,还需要有关不同 GPCR 构象存在的概率和分隔这些结构亚状态的动态障碍的信息,以便更好地理解 GPCR 功能。在可用的技术中,核磁共振 (NMR) 光谱是表征构象景观和动力学的有力工具。在这里,我们将概述 NMR 解决这些生物学问题的潜力,并举例说明 NMR 在近年来 GPCR 领域带来的功能见解。