Ozgul Sinem, von Daake Sventja, Kakehi Sumie, Sereni Davide, Denissova Natalia, Hanlon Carlie, Huang Yuanpeng Janet, Everett John K, Yin Cuifeng, Montelione Gaetano T, Comoletti Davide
Child Health Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States.
Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, Piscataway, NJ, United States.
Methods Enzymol. 2019;615:453-475. doi: 10.1016/bs.mie.2018.10.001. Epub 2018 Dec 28.
Cell surface molecules are important for development and function of multicellular organisms. Although several methods are available to identify ligand-receptor pairs, ELISA-based methods are particularly amenable to high-throughput screens. ELISA-based methods have high sensitivity and low false-positive rates for detecting protein-protein interaction (PPI) complexes. Here, we provide a detailed protocol for a 384-well ELISA-based PPI screening protocol for the identification of novel cell surface ligand-receptor interactions, together with considerations for validation of PPIs by biophysical methods. This PPI screen has been developed and tested for discovery of novel ligand-receptor pairs between human synaptic adhesion proteins, believed to play crucial roles in many steps of neurodevelopment, from neuronal maturation, to axon guidance, synapse connectivity, and pruning.
细胞表面分子对多细胞生物的发育和功能至关重要。虽然有几种方法可用于鉴定配体-受体对,但基于酶联免疫吸附测定(ELISA)的方法特别适合高通量筛选。基于ELISA的方法在检测蛋白质-蛋白质相互作用(PPI)复合物方面具有高灵敏度和低假阳性率。在这里,我们提供了一种基于384孔ELISA的PPI筛选方案的详细协议,用于鉴定新型细胞表面配体-受体相互作用,以及通过生物物理方法验证PPI的注意事项。这种PPI筛选方法已经开发并经过测试,用于发现人类突触粘附蛋白之间的新型配体-受体对,这些蛋白被认为在神经发育的许多步骤中起着关键作用,从神经元成熟到轴突导向、突触连接和修剪。