Pajunen Maria, Turakainen Hilkka, Poussu Eini, Peränen Johan, Vihinen Mauno, Savilahti Harri
Program in Cellular Biotechnology, Institute of Biotechnology, Viikki Biocenter, University of Helsinki, Finland.
Nucleic Acids Res. 2007;35(16):e103. doi: 10.1093/nar/gkm563. Epub 2007 Aug 15.
Understanding networks of protein-protein interactions constitutes an essential component on a path towards comprehensive description of cell function. Whereas efficient techniques are readily available for the initial identification of interacting protein partners, practical strategies are lacking for the subsequent high-resolution mapping of regions involved in protein-protein interfaces. We present here a genetic strategy to accurately map interacting protein regions at amino acid precision. The system is based on parallel construction, sampling and analysis of a comprehensive insertion mutant library. The methodology integrates Mu in vitro transposition-based random pentapeptide mutagenesis of proteins, yeast two-hybrid screening and high-resolution genetic footprinting. The strategy is general and applicable to any interacting protein pair. We demonstrate the feasibility of the methodology by mapping the region in human JFC1 that interacts with Rab8A, and we show that the association is mediated by the Slp homology domain 1.
理解蛋白质-蛋白质相互作用网络是全面描述细胞功能道路上的一个重要组成部分。虽然有高效的技术可用于初步鉴定相互作用的蛋白质伙伴,但缺乏后续对蛋白质-蛋白质界面所涉及区域进行高分辨率映射的实用策略。我们在此提出一种遗传策略,以氨基酸精度精确映射相互作用的蛋白质区域。该系统基于对一个全面的插入突变体文库进行平行构建、采样和分析。该方法整合了基于Mu体外转座的蛋白质随机五肽诱变、酵母双杂交筛选和高分辨率遗传足迹分析。该策略具有通用性,适用于任何相互作用的蛋白质对。我们通过映射人类JFC1中与Rab8A相互作用的区域来证明该方法的可行性,并且我们表明这种关联是由Slp同源结构域1介导的。