肺癌肿瘤标志物神经元特异性烯醇化酶抗原适配子的筛选及其应用

目的提出一种基于适配子快速检测肺癌肿瘤标志物的方法。方法利用指数级富集配体的系统进化技术筛选其高特异性适配子，通过流式细胞术检测亲和力，最终选出一条高亲和力、强特异性的适配子。枸橼酸钠还原法制备纳米金颗粒。建立基于免标记纳米金和适配子的分析方法，并对其方法进行考察。结果通过 6 轮筛选得到三条 NSE 的高特异性、强亲和力的适配子，其中，a 适配子特异性最高。同时利用筛选得到的肺癌肿瘤标志物 a 适配子和纳米金颗粒建立一种快速检测 NSE 抗原的方法。结论该方法具有较好的准确度，为肺癌的早期检测提供了一种新的手段。

An aptamer-based analytical method for rapid detection of lung cancer tumor markers NSE antigen

ObjectiveTo explore a new aptamer-based rapid detection method for lung cancer tumor markers. MethodsHighly specific adaptive were screened by using systematic evolution of ligands (SELEX) and affinity were detected by flow cytometry. So as to choose a high affinity and high specificity of aptamer. Gold nanoparticles were prepared through sodium citrate reduction. The method based on label-free analysis of gold nanoparticles and aptamers were established, with methodological investigation. ResultsHigh specificity and strong affinity of 3 NSE were obtained through 6 rounds of screening, with highest specificity of a. A rapid method for the detection of NSE antigen were established through the selection of tumor markers of lung cancer and gold nanoparticles. ConclusionThe method has a good accuracy for the early detection of lung cancer provides a new means.