Niu Wenze, Jiang Nan, Hu Yinghe
Key Lab of Brain Functional Genomics, MOE and STCSM, Shanghai Institute of Brain Functional Genomics, East China Normal University, 3663 Zhongshan Road N., Shanghai 200062, China.
Anal Biochem. 2007 Mar 1;362(1):126-35. doi: 10.1016/j.ab.2006.12.011. Epub 2006 Dec 29.
A number of different ligands have been tested in the course of the development of protein array technology. The most extensively studied example of protein ligands has been based on antibody-antigen interaction. Other examples include protein-protein, protein-nucleic acid, and protein-small molecule interactions. All these ligands can recognize and specifically bind to protein epitopes. In this study, we have developed a novel technology using DNA-based aptamers to detect proteins based on their amino acid sequences. Mouse cathepsin D was used for the proof of principle experiment. Four tripeptides, Leu-Ala-Ser, Asp-Gly-Ile, Gly-Glu-Leu, and Lys-Ala-Ile, were selected based on the published amino acid sequence of mouse cathepsin D. DNA aptamers against the tripeptides were isolated using the systematic evolution of ligands of exponential enrichment method. We have demonstrated that the aptamers specifically interacted with mouse cathepsin D using the structure-switch method. We further performed a proximity-dependent ligation assay to demonstrate that multiple aptamers could specifically detect the protein from cell extracts. In principle, one library containing 8000 aptamers should be enough to detect almost all proteins in the whole proteome in all organisms. This technology could be applied to generate a new generation of protein arrays.
在蛋白质阵列技术的发展过程中,已经测试了许多不同的配体。蛋白质配体中研究最广泛的例子是基于抗体 - 抗原相互作用。其他例子包括蛋白质 - 蛋白质、蛋白质 - 核酸和蛋白质 - 小分子相互作用。所有这些配体都可以识别并特异性结合蛋白质表位。在本研究中,我们开发了一种新技术,使用基于DNA的适体根据蛋白质的氨基酸序列来检测蛋白质。小鼠组织蛋白酶D用于原理验证实验。根据已发表的小鼠组织蛋白酶D的氨基酸序列,选择了四个三肽,即亮氨酸 - 丙氨酸 - 丝氨酸、天冬氨酸 - 甘氨酸 - 异亮氨酸、甘氨酸 - 谷氨酸 - 亮氨酸和赖氨酸 - 丙氨酸 - 异亮氨酸。使用指数富集配体系统进化方法分离针对这些三肽的DNA适体。我们已经使用结构转换方法证明了这些适体与小鼠组织蛋白酶D特异性相互作用。我们进一步进行了邻近依赖性连接测定,以证明多个适体可以从细胞提取物中特异性检测该蛋白质。原则上,一个包含8000个适体的文库应该足以检测所有生物体全蛋白质组中的几乎所有蛋白质。该技术可应用于生成新一代蛋白质阵列。