Liu Lishan, Mayo Daniel J, Sahu Indra D, Zhou Andy, Zhang Rongfu, McCarrick Robert M, Lorigan Gary A
Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio, USA.
Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio, USA.
Methods Enzymol. 2015;564:289-313. doi: 10.1016/bs.mie.2015.06.037. Epub 2015 Aug 1.
Revealing detailed structural and dynamic information of membrane embedded or associated proteins is challenging due to their hydrophobic nature which makes NMR and X-ray crystallographic studies challenging or impossible. Electron paramagnetic resonance (EPR) has emerged as a powerful technique to provide essential structural and dynamic information for membrane proteins with no size limitations in membrane systems which mimic their natural lipid bilayer environment. Therefore, tremendous efforts have been devoted toward the development and application of EPR spectroscopic techniques to study the structure of biological systems such as membrane proteins and peptides. This chapter introduces a novel approach established and developed in the Lorigan lab to investigate membrane protein and peptide local secondary structures utilizing the pulsed EPR technique electron spin echo envelope modulation (ESEEM) spectroscopy. Detailed sample preparation strategies in model membrane protein systems and the experimental setup are described. Also, the ability of this approach to identify local secondary structure of membrane proteins and peptides with unprecedented efficiency is demonstrated in model systems. Finally, applications and further developments of this ESEEM approach for probing larger size membrane proteins produced by overexpression systems are discussed.
由于膜嵌入蛋白或相关蛋白的疏水性,揭示其详细的结构和动态信息具有挑战性,这使得核磁共振(NMR)和X射线晶体学研究面临挑战或无法进行。电子顺磁共振(EPR)已成为一种强大的技术,可在模拟天然脂质双层环境的膜系统中为膜蛋白提供基本的结构和动态信息,且不受尺寸限制。因此,人们在EPR光谱技术的开发和应用方面投入了巨大努力,以研究诸如膜蛋白和肽等生物系统的结构。本章介绍了洛里根实验室建立和开发的一种新方法,该方法利用脉冲EPR技术——电子自旋回波包络调制(ESEEM)光谱来研究膜蛋白和肽的局部二级结构。描述了模型膜蛋白系统中的详细样品制备策略和实验装置。此外,在模型系统中证明了该方法以前所未有的效率识别膜蛋白和肽局部二级结构的能力。最后,讨论了这种ESEEM方法在探测过表达系统产生的更大尺寸膜蛋白方面的应用和进一步发展。