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聚焦无序系统:与流体膜相关蛋白质的中子反射研究

Zooming in on disordered systems: neutron reflection studies of proteins associated with fluid membranes.

作者信息

Heinrich Frank, Lösche Mathias

机构信息

Physics Department, Carnegie Mellon University, Pittsburgh, PA, U.S.A.; NIST Center for Neutron Research, Gaithersburg, MD, U.S.A.

Physics Department, Carnegie Mellon University, Pittsburgh, PA, U.S.A.; NIST Center for Neutron Research, Gaithersburg, MD, U.S.A..

出版信息

Biochim Biophys Acta. 2014 Sep;1838(9):2341-9. doi: 10.1016/j.bbamem.2014.03.007. Epub 2014 Mar 25.

Abstract

Neutron reflectometry (NR) is an emerging experimental technique for the structural characterization of proteins interacting with fluid bilayer membranes under conditions that mimic closely the cellular environment. Thus, cellular processes can be emulated in artificial systems and their molecular basis studied by adding cellular components one at a time in a well-controlled environment while the resulting structures, or structural changes in response to external cues, are monitored with neutron reflection. In recent years, sample environments, data collection strategies and data analysis were continuously refined. The combination of these improvements increases the information which can be obtained from NR to an extent that enables structural characterization of protein-membrane complexes at a length scale that exceeds the resolution of the measurement by far. Ultimately, the combination of NR with molecular dynamics (MD) simulations can be used to cross-validate the results of the two techniques and provide atomic-scale structural models. This review discusses these developments in detail and demonstrates how they provide new windows into relevant biomedical problems. This article is part of a Special Issue entitled: Interfacially Active Peptides and Proteins. Guest Editors: William C. Wimley and Kalina Hristova.

摘要

中子反射测量技术(NR)是一种新兴的实验技术,用于在紧密模拟细胞环境的条件下,对与流体双层膜相互作用的蛋白质进行结构表征。因此,可以在人工系统中模拟细胞过程,并通过在可控环境中一次添加一种细胞成分来研究其分子基础,同时利用中子反射监测所产生的结构或对外部信号的结构变化。近年来,样品环境、数据收集策略和数据分析不断完善。这些改进的结合将从NR中获得的信息增加到一定程度,使得能够在远远超过测量分辨率的长度尺度上对蛋白质-膜复合物进行结构表征。最终,NR与分子动力学(MD)模拟的结合可用于交叉验证这两种技术的结果,并提供原子尺度的结构模型。本综述详细讨论了这些进展,并展示了它们如何为相关生物医学问题提供新的视角。本文是名为:界面活性肽和蛋白质的特刊的一部分。客座编辑:威廉·C·温姆利和卡利娜·赫里斯托娃。

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