Shang Limin, Zhang Yuehui, Liu Yuchen, Jin Chaozhi, Yuan Yanzhi, Tian Chunyan, Ni Ming, Bo Xiaochen, Zhang Li, Li Dong, He Fuchu, Wang Jian
State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.
Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Genomics Proteomics Bioinformatics. 2022 Aug;20(4):795-807. doi: 10.1016/j.gpb.2021.02.008. Epub 2021 Jul 24.
Genome-wide physical protein-protein interaction (PPI) mapping remains a major challenge for current technologies. Here, we reported a high-efficiency BiFC-seq method, yeast-enhanced green fluorescent protein-based bimolecular fluorescence complementation (yEGFP-BiFC) coupled with next-generation DNA sequencing, for interactome mapping. We first applied yEGFP-BiFC method to systematically investigate an intraviral network of the Ebola virus. Two-thirds (9/14) of known interactions of EBOV were recaptured, and five novel interactions were discovered. Next, we used the BiFC-seq method to map the interactome of the tumor protein p53. We identified 97 interactors of p53, more than three-quarters of which were novel. Furthermore, in a more complex background, we screened potential interactors by pooling two BiFC libraries together and revealed a network of 229 interactions among 205 proteins. These results show that BiFC-seq is a highly sensitive, rapid, and economical method for genome-wide interactome mapping.
全基因组范围的物理蛋白质-蛋白质相互作用(PPI)图谱绘制仍是当前技术面临的一项重大挑战。在此,我们报道了一种高效的双分子荧光互补测序(BiFC-seq)方法,即基于酵母增强型绿色荧光蛋白的双分子荧光互补(yEGFP-BiFC)与新一代DNA测序相结合,用于相互作用组图谱绘制。我们首先应用yEGFP-BiFC方法系统地研究了埃博拉病毒的病毒内网络。重新获得了三分之二(9/14)的埃博拉病毒已知相互作用,并发现了五个新的相互作用。接下来,我们使用BiFC-seq方法绘制肿瘤蛋白p53的相互作用组图谱。我们鉴定出了97个p53的相互作用蛋白,其中超过四分之三是新发现的。此外,在更复杂的背景下,我们通过将两个BiFC文库合并在一起筛选潜在的相互作用蛋白,并揭示了205个蛋白质之间的229个相互作用网络。这些结果表明,BiFC-seq是一种用于全基因组相互作用组图谱绘制的高度灵敏、快速且经济的方法。