Michnick Stephen W, Ear Po Hien, Landry Christian, Malleshaiah Mohan K, Messier Vincent
Département de Biochimie, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, Québec, Canada.
Methods Enzymol. 2010;470:335-68. doi: 10.1016/S0076-6879(10)70014-8. Epub 2010 Mar 1.
Protein-fragment complementation assays (PCAs) are a family of assays for detecting protein-protein interactions (PPIs) that have been developed to provide simple and direct ways to study PPIs in any living cell, multicellular organism or in vitro. PCAs can be used to detect PPI between proteins of any molecular weight and expressed at their endogenous levels. Proteins are expressed in their appropriate cellular compartments and can undergo any posttranslational modification or degradation that, barring effects of the PCA fragment fusion, they would normally undergo. Applications of PCAs in yeast have been limited until recently, simply because appropriate expression plasmids or cassettes had not been developed. However, we have now developed and reported on several PCAs in Saccharomyces cerevisiae that cover the gamut of applications one could envision for studying any aspect of PPIs. Here, we present detailed protocols for large-scale analysis of PPIs with the survival-selection dihydrofolate reductase (DHFR) reporter PCA and a new PCA based on a yeast cytosine deaminase reporter that allows for both survival and death selection. This PCA should prove a powerful way to dissect PPIs. We then present a method to study spatial localization and dynamics of PPIs based on fluorescent protein reporter PCAs and finally, two luciferase reporter PCAs that have proved useful for studies of dynamics of PPIs.
蛋白质片段互补分析(PCA)是一类用于检测蛋白质-蛋白质相互作用(PPI)的分析方法,其开发目的是为在任何活细胞、多细胞生物体或体外研究PPI提供简单直接的方法。PCA可用于检测任何分子量且以内源水平表达的蛋白质之间的PPI。蛋白质在其合适的细胞区室中表达,并且可以进行任何翻译后修饰或降解,在不受PCA片段融合影响的情况下,它们通常会经历这些修饰或降解。直到最近,PCA在酵母中的应用一直受到限制,仅仅是因为尚未开发出合适的表达质粒或盒式载体。然而,我们现在已经开发并报道了酿酒酵母中的几种PCA,它们涵盖了人们可以设想的用于研究PPI任何方面的各种应用。在这里,我们介绍了使用生存选择二氢叶酸还原酶(DHFR)报告基因PCA和基于酵母胞嘧啶脱氨酶报告基因的新PCA进行PPI大规模分析的详细方案,该新PCA允许进行生存和死亡选择。这种PCA应该是剖析PPI的一种强大方法。然后,我们介绍一种基于荧光蛋白报告基因PCA研究PPI的空间定位和动态的方法,最后介绍两种荧光素酶报告基因PCA,它们已被证明对研究PPI的动态有用。