Center for Applied Structural Discovery, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Methods Mol Biol. 2023;2597:251-259. doi: 10.1007/978-1-0716-2835-5_18.
Structural discovery of viral chemokine binding proteins can provide valuable information on the binding domains and protein-protein interfaces (PPI) of these immunologically relevant proteins. Protein expression in mammalian cells produces high-quality protein compared to other expression methods; however, because structural discovery methods such as cryo-EM-based single particle analysis (SPA) and x-ray crystallography use methods which combine data from many individual proteins, these demand a highly monodispersed sample composed of protein with ordered structure. These techniques are often incompatible with flexible glycosyl groups commonly present on proteins produced by mammalian cells and require deglycosylation to enable observation of the conserved tertiary structure beneath these variable, flexible, glycans. Using the Myxoma viral protein M-T7 as a test case, we discuss considerations and preliminary bioinformatic analysis for approaching structural discovery using freely accessible sequence and structure databases to maximize success and guide experiments. We describe a simple deglycosylation optimization protocol utilizing Endo H followed by size exclusion chromatography (SEC) based purification to produce and validate protein suitable for structural discovery. Considerations such as protein concentration and volumes required for crystallography and negative stain electron microscopy are discussed as well as grid blotting techniques for negative stain experiments to validate protein quality.
病毒趋化因子结合蛋白的结构发现可以提供有关这些免疫相关蛋白的结合域和蛋白质-蛋白质界面(PPI)的有价值的信息。与其他表达方法相比,哺乳动物细胞中的蛋白质表达可以产生高质量的蛋白质;然而,由于结构发现方法(如基于冷冻电镜的单颗粒分析(SPA)和 X 射线晶体学)使用了结合来自许多单个蛋白质的数据的方法,因此这些方法需要由具有有序结构的蛋白质组成的高度单分散样品。这些技术通常与哺乳动物细胞产生的蛋白质上常见的灵活糖基不兼容,并且需要进行去糖基化以能够观察到这些可变的、灵活的聚糖下方的保守三级结构。我们使用兔粘液瘤病毒蛋白 M-T7 作为测试案例,讨论了使用免费访问的序列和结构数据库进行结构发现的注意事项和初步生物信息学分析,以最大程度地提高成功率并指导实验。我们描述了一种简单的去糖基化优化方案,利用内切酶 H followed by 分子筛层析(SEC)进行纯化,以产生和验证适合结构发现的蛋白质。讨论了适用于结晶和负染电子显微镜的蛋白质浓度和所需体积,以及用于验证蛋白质质量的负染实验的网格印迹技术。