Wang Qiong-Lin, Cui Hui-Fang, Du Jiang-Feng, Lv Qi-Yan, Song Xiaojie
Department of Bioengineering, School of Life Sciences, Zhengzhou University 100# Science Avenue Zhengzhou 450001 P. R. China
RSC Adv. 2019 Feb 21;9(11):6328-6334. doi: 10.1039/c8ra10163a. eCollection 2019 Feb 18.
DNA aptamers against carcinoembryonic antigen (CEA) have been identified through the systematic evolution of ligands by exponential enrichment (SELEX) technique, but their affinity needs to be improved. In this study, an approach was firstly used to screen the mutation sequences of a reported DNA aptamer (the parent aptamer, denoted as P) against CEA. The affinities of several high-score DNA mutants were determined by the biolayer interferometry technique. Finally, the newly obtained aptamers were verified in an aptasensor application. For the approach, Mfold and RNA Composer were combined to generate the 3D RNA structures of the DNA mutants. The RNA structures were then modified to 3D DNA structures with the Write program. The docking model and binding ability of the 3D DNA structures with CEA were simulated and predicted with the ZDOCK program. Two mutation sequences (P-ATG and GAC-P) exhibited significantly higher ZDOCK scores than P. The dissociation constant of P-ATG and GAC-P to CEA was determined to be 4.62 and 3.93 nM respectively, obviously superior to that of P (6.95 nM). The detection limit of the P-ATG and GAC-P based aptasensors was 1.5 and 1.2 ng mL, respectively, markedly better than that based on P (3.4 ng mL). The consistency between the and the experimental results indicates that the developed post-SELEX screening approach is feasible for improving DNA aptamers. The P-ATG and GAC-P aptamers found in this study could be used for future CEA aptasensor design and fabrication, promisingly applicable for highly sensitive CEA detection and early cancer diagnosis.
通过指数富集配体系统进化(SELEX)技术已鉴定出针对癌胚抗原(CEA)的DNA适配体,但其亲和力有待提高。在本研究中,首先采用一种方法筛选已报道的针对CEA的DNA适配体(亲本适配体,记为P)的突变序列。通过生物层干涉技术测定了几个高分DNA突变体的亲和力。最后,在适配体传感器应用中对新获得的适配体进行了验证。对于该方法,将Mfold和RNA Composer结合以生成DNA突变体的3D RNA结构。然后用Write程序将RNA结构修改为3D DNA结构。用ZDOCK程序模拟并预测了3D DNA结构与CEA的对接模型和结合能力。两个突变序列(P-ATG和GAC-P)的ZDOCK得分显著高于P。P-ATG和GAC-P与CEA的解离常数分别测定为4.62和3.93 nM,明显优于P(6.95 nM)。基于P-ATG和GAC-P的适配体传感器的检测限分别为1.5和1.2 ng/mL,明显优于基于P的适配体传感器(3.4 ng/mL)。该方法与实验结果之间的一致性表明,所开发的SELEX后筛选方法对于改进DNA适配体是可行的。本研究中发现的P-ATG和GAC-P适配体可用于未来CEA适配体传感器的设计和制造,有望用于高灵敏度CEA检测和早期癌症诊断。