National Resource for Automated Molecular Microscopy, The Scripps Research Institute, La Jolla, CA 92037, USA.
Structure. 2012 Dec 5;20(12):1995-2002. doi: 10.1016/j.str.2012.10.019.
Single-particle electron microscopy (EM) is a powerful tool for studying the structures of large biological molecules. However, the achievable resolution does not always allow for direct recognition of individual protein domains. Labels that can be visualized by EM have been developed for protein termini, but tagging internal domains remains a challenge. We describe a robust strategy for determining the position of internal sites within EM maps, termed domain localization by RCT sampling (DOLORS). DOLORS uses monovalent streptavidin added posttranslationally to tagged sites in the target protein. Internal labels generally display less conformational flexibility than terminal labels, providing more precise positional information. Automated methods are used to rapidly generate assemblies of unique 3D models allowing the attachment sites of labeled domains to be accurately identified and thus provide an overall architectural map of the molecule.
单颗粒电子显微镜(EM)是研究大型生物分子结构的有力工具。然而,所达到的分辨率并不总是允许直接识别单个蛋白质结构域。已经开发出可以通过 EM 可视化的标签来标记蛋白质末端,但标记内部结构域仍然是一个挑战。我们描述了一种用于确定 EM 图谱中内部位置的稳健策略,称为通过 RCT 采样的结构域定位(DOLORS)。DOLORS 使用添加到靶蛋白中标记位点的单价链霉亲和素。内部标签通常比末端标签显示出更少的构象灵活性,从而提供更精确的位置信息。自动化方法用于快速生成独特的 3D 模型组装,允许准确识别标记结构域的附着位点,从而提供分子的整体结构图谱。