Jensen G J, Kornberg R D
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Proc Natl Acad Sci U S A. 1998 Aug 4;95(16):9262-7. doi: 10.1073/pnas.95.16.9262.
A method is proposed for selecting and aligning images of single biological particles to obtain high-resolution structural information by cryoelectron microscopy. The particles will be labeled with multiple heavy atom clusters to permit the precise determination of particle locations and relative orientations even when imaged close to focus with a low electron dose, conditions optimal for recording high-resolution detail. Heavy atom clusters should also allow selection of images free from many kinds of defects, including specimen movement and particle inhomogeneity. Heavy atom clusters may be introduced in a general way by the construction of "adaptor" molecules based on single-chain Fv antibody fragments, consisting of a constant framework region engineered for optimal cluster binding and a variable antigen binding region selected for a specific target. The success of the method depends on the mobility of the heavy atom cluster on the particle, on the precision to which clusters can be located in an image, and on the sufficiency of cluster projections alone to orient and select particles for averaging. The necessary computational algorithms were developed and implemented in simulations that address the feasibility of the method.
本文提出了一种通过冷冻电子显微镜选择并对齐单个生物颗粒图像以获取高分辨率结构信息的方法。这些颗粒将用多个重原子簇进行标记,即使在低电子剂量下靠近聚焦成像(这是记录高分辨率细节的最佳条件)时,也能精确确定颗粒的位置和相对取向。重原子簇还应有助于选择没有多种缺陷的图像,包括样品移动和颗粒不均匀性。通过构建基于单链Fv抗体片段的“衔接子”分子,可以以一种通用的方式引入重原子簇,该分子由经过工程设计以实现最佳簇结合的恒定框架区域和为特定靶标选择的可变抗原结合区域组成。该方法的成功取决于重原子簇在颗粒上的移动性、在图像中定位簇的精度以及仅靠簇投影来定向和选择颗粒进行平均的充分性。必要的计算算法已被开发并应用于模拟中,以验证该方法的可行性。