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界面膜模拟与质谱联用。

Interfacing Membrane Mimetics with Mass Spectrometry.

机构信息

Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford , South Parks Road, Oxford OX1 3QZ, U.K.

Department of Chemistry and Biochemistry, University of Arizona , Tucson, Arizona 85719, United States.

出版信息

Acc Chem Res. 2016 Nov 15;49(11):2459-2467. doi: 10.1021/acs.accounts.6b00379. Epub 2016 Oct 13.

Abstract

Membrane proteins play critical physiological roles and make up the majority of drug targets. Due to their generally low expression levels and amphipathic nature, membrane proteins represent challenging molecular entities for biophysical study. Mass spectrometry offers several sensitive approaches to study the biophysics of membrane proteins. By preserving noncovalent interactions in the gas phase and using collisional activation to remove solubilization agents inside the mass spectrometer, native mass spectrometry (MS) is capable of studying isolated assemblies that would be insoluble in aqueous solution, such as membrane protein oligomers and protein-lipid complexes. Conventional methods use detergent to solubilize the protein prior to electrospray ionization. Gas-phase activation inside the mass spectrometer removes the detergent to yield the isolated proteins with bound ligands. This approach has proven highly successful for ionizing membrane proteins. With the appropriate choice of detergents, membrane proteins with bound lipid species can be observed, which allows characterization of protein-lipid interactions. However, detergents have several limitations. They do not necessarily replicate the native lipid bilayer environment, and only a small number of protein-lipid interactions can be resolved. In this Account, we summarize the development of different membrane mimetics as cassettes for MS analysis of membrane proteins. Examples include amphipols, bicelles, and picodiscs with a special emphasis on lipoprotein nanodiscs. Polydispersity and heterogeneity of the membrane mimetic cassette is a critical issue for study by MS. Ever more complex data sets consisting of overlapping protein charge states and multiple lipid-bound entities have required development of new computational, theoretical, and experimental approaches to interpret both mass and ion mobility spectra. We will present the rationale and limitations of these approaches. Starting with the early work on empty nanodiscs, we chart developments that culminate in recent high-resolution studies of membrane protein-lipid complexes ejected from nanodiscs. For the latter, increasing collision energies allowed progressive removal of nanodisc components, beginning with the scaffold proteins and continuing through successive shells of lipids, allowing direct characterization of the stoichiometry of the annular lipid belt that surrounds the membrane protein. We consider future directions for the study of membrane proteins in membrane mimetics, including the development of mixed lipid systems and native bilayer environments. Unambiguous assignment of these heterogeneous systems will rely heavily upon further enhancements in both data analysis protocols and instrumental resolution. We anticipate that these developments will provide new insights into the factors that control dynamic protein-lipid interactions in a variety of tailored and natural lipid environments.

摘要

膜蛋白在生理过程中起着至关重要的作用,也是大多数药物靶点。由于其普遍表达水平较低和两亲性,膜蛋白是生物物理研究具有挑战性的分子实体。质谱提供了几种敏感的方法来研究膜蛋白的生物物理学。通过在气相中保留非共价相互作用,并使用碰撞激活在质谱仪内去除增溶剂,天然质谱(MS)能够研究在水溶液中不溶的分离组装体,例如膜蛋白寡聚体和蛋白-脂复合物。传统方法在进行电喷雾电离之前使用去污剂溶解蛋白。质谱内的气相激活去除去污剂,得到与结合配体的分离蛋白。这种方法已被证明对离子化膜蛋白非常成功。通过选择合适的去污剂,可以观察到与结合脂质的膜蛋白,从而可以对蛋白-脂质相互作用进行表征。然而,去污剂有几个局限性。它们不一定复制天然脂质双层环境,并且只能解析少量的蛋白-脂质相互作用。在本报告中,我们总结了不同的膜类似物作为膜蛋白 MS 分析的盒的发展。实例包括两性聚合物、双脂体和皮克碟,特别强调脂蛋白纳米碟。膜模拟盒的多分散性和异质性是 MS 研究的一个关键问题。越来越复杂的数据集,包括重叠的蛋白电荷状态和多个结合脂质的实体,需要开发新的计算、理论和实验方法来解释质荷比和离子淌度谱。我们将介绍这些方法的原理和局限性。从早期的空纳米碟研究开始,我们绘制了发展轨迹,最终实现了最近对从纳米碟中弹出的膜蛋白-脂质复合物的高分辨率研究。对于后者,增加碰撞能量可以逐渐去除纳米碟的组成部分,从支架蛋白开始,然后继续去除连续的脂质壳,从而可以直接对环绕膜蛋白的环形脂质带的化学计量进行表征。我们考虑了在膜模拟物中研究膜蛋白的未来方向,包括开发混合脂质系统和天然双层环境。这些异构系统的明确分配将在很大程度上依赖于数据分析协议和仪器分辨率的进一步提高。我们预计,这些发展将为控制各种定制和天然脂质环境中动态蛋白-脂质相互作用的因素提供新的见解。

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