Scheres Sjors H W, Núñez-Ramírez Rafael, Sorzano Carlos O S, Carazo José María, Marabini Roberto
Centro Nacional de Biotecnología CSIC, Unidad de Biocomputación, Cantoblanco, 28049 Madrid, Spain.
Nat Protoc. 2008;3(6):977-90. doi: 10.1038/nprot.2008.62.
We describe a collection of standardized image processing protocols for electron microscopy single-particle analysis using the XMIPP software package. These protocols allow performing the entire processing workflow starting from digitized micrographs up to the final refinement and evaluation of 3D models. A particular emphasis has been placed on the treatment of structurally heterogeneous data through maximum-likelihood refinements and self-organizing maps as well as the generation of initial 3D models for such data sets through random conical tilt reconstruction methods. All protocols presented have been implemented as stand-alone, executable python scripts, for which a dedicated graphical user interface has been developed. Thereby, they may provide novice users with a convenient tool to quickly obtain useful results with minimum efforts in learning about the details of this comprehensive package. Examples of applications are presented for a negative stain random conical tilt data set on the hexameric helicase G40P and for a structurally heterogeneous data set on 70S Escherichia coli ribosomes embedded in vitrified ice.
我们描述了一组使用XMIPP软件包进行电子显微镜单颗粒分析的标准化图像处理协议。这些协议允许执行从数字化显微照片开始到3D模型的最终细化和评估的整个处理工作流程。特别强调了通过最大似然细化和自组织映射处理结构异质数据,以及通过随机锥形倾斜重建方法为这类数据集生成初始3D模型。所展示的所有协议都已实现为独立的可执行Python脚本,并为此开发了专用的图形用户界面。因此,它们可以为新手用户提供一个方便的工具,使他们能够以最小的努力快速获得有用的结果,而无需了解这个综合软件包的细节。文中给出了应用示例,一个是关于六聚体解旋酶G40P的负染随机锥形倾斜数据集,另一个是关于包埋在玻璃化冰中的70S大肠杆菌核糖体的结构异质数据集。