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推导螺旋组装体的对称性:在膜蛋白中的应用。

Deducing the symmetry of helical assemblies: Applications to membrane proteins.

作者信息

Coudray Nicolas, Lasala Ralph, Zhang Zhening, Clark Kathy M, Dumont Mark E, Stokes David L

机构信息

Skirball Institute for Biomolecular Medicine, Department of Cell Biology, New York University School of Medicine, New York, NY 10016, United States.

Department of Pediatrics and Department of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY 14652, United States.

出版信息

J Struct Biol. 2016 Aug;195(2):167-178. doi: 10.1016/j.jsb.2016.05.011. Epub 2016 May 30.

DOI:10.1016/j.jsb.2016.05.011
PMID:27255388
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4944209/
Abstract

Helical reconstruction represents a convenient and powerful approach for structure determination of macromolecules that assemble into helical arrays. In the case of membrane proteins, formation of tubular crystals with helical symmetry represents an attractive alternative, especially when their small size precludes the use of single-particle analysis. An essential first step for helical reconstruction is to characterize the helical symmetry. This process is often daunting, due to the complexity of helical diffraction and to the low signal-to-noise ratio in images of individual assemblies. Furthermore, the large diameters of the tubular crystals produced by membrane proteins exacerbates the innate ambiguities that, if not resolved, will produce incorrect structures. In this report, we describe a set of tools that can be used to eliminate ambiguities and to validate the choice of symmetry. The first approach increases the signal-to-noise ratio along layer lines by incoherently summing data from multiple helical assemblies, thus producing several candidate indexing schemes. The second approach compares the layer lines from images with those from synthetic models built with the various candidate schemes. The third approach uses unit cell dimensions measured from collapsed tubes to distinguish between these candidate schemes. These approaches are illustrated with tubular crystals from a boron transporter from yeast, Bor1p, and a β-barrel channel from the outer membrane of E. coli, OmpF.

摘要

螺旋重建是确定组装成螺旋阵列的大分子结构的一种便捷而强大的方法。对于膜蛋白而言,形成具有螺旋对称性的管状晶体是一种有吸引力的选择,特别是当它们尺寸较小时无法使用单颗粒分析。螺旋重建的关键第一步是表征螺旋对称性。由于螺旋衍射的复杂性以及单个组装体图像中信噪比低,这个过程通常具有挑战性。此外,膜蛋白产生的管状晶体直径较大,加剧了固有的模糊性,如果不解决,将产生错误的结构。在本报告中,我们描述了一组可用于消除模糊性并验证对称性选择的工具。第一种方法是通过对来自多个螺旋组装体的数据进行非相干求和来提高沿层线的信噪比,从而产生几种候选索引方案。第二种方法是将图像中的层线与使用各种候选方案构建的合成模型中的层线进行比较。第三种方法是使用从塌陷管测量的晶胞尺寸来区分这些候选方案。通过来自酵母硼转运蛋白Bor1p和大肠杆菌外膜β-桶通道OmpF的管状晶体对这些方法进行了说明。