Boysen Jacob H, Fanning Saranna, Newberg Justin, Murphy Robert F, Mitchell Aaron P
Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
Genetics. 2009 May;182(1):33-9. doi: 10.1534/genetics.109.101162. Epub 2009 Mar 23.
The detection of protein-protein interactions through two-hybrid assays has revolutionized our understanding of biology. The remarkable impact of two-hybrid assay platforms derives from their speed, simplicity, and broad applicability. Yet for many organisms, the need to express test proteins in Saccharomyces cerevisiae or Escherichia coli presents a substantial barrier because variations in codon specificity or bias may result in aberrant protein expression. In particular, nonstandard genetic codes are characteristic of several eukaryotic pathogens, for which there are currently no genetically based systems for detection of protein-protein interactions. We have developed a protein-protein interaction assay that is carried out in native host cells by using GFP as the only foreign protein moiety, thus circumventing these problems. We show that interaction can be detected between two protein pairs in both the model yeast S. cerevisiae and the fungal pathogen Candida albicans. We use computational analysis of microscopic images to provide a quantitative and automated assessment of confidence.
通过双杂交试验检测蛋白质-蛋白质相互作用彻底改变了我们对生物学的理解。双杂交试验平台的显著影响源于其速度、简便性和广泛适用性。然而,对于许多生物体而言,需要在酿酒酵母或大肠杆菌中表达测试蛋白构成了一个重大障碍,因为密码子特异性或偏好性的差异可能导致异常的蛋白质表达。特别是,几种真核病原体具有非标准遗传密码,目前尚无基于遗传的蛋白质-蛋白质相互作用检测系统。我们开发了一种蛋白质-蛋白质相互作用试验,该试验在天然宿主细胞中进行,仅使用绿色荧光蛋白(GFP)作为唯一的外源蛋白部分,从而规避了这些问题。我们表明,在模型酵母酿酒酵母和真菌病原体白色念珠菌中都可以检测到两对蛋白质之间的相互作用。我们使用显微镜图像的计算分析来提供定量和自动的可信度评估。