基于多色银纳米簇-石墨烯组装体系的多通道特异性癌细胞检测

项目名称： 基于多色银纳米簇-石墨烯组装体系的多通道特异性癌细胞检测

项目编号： No.21501146

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 环境科学、安全科学

项目作者： 冯大千

作者单位： 盐城工学院

项目金额： 20万元

中文摘要： 靶向癌细胞检测在癌症早期诊断以及治疗过程跟踪中具有重要的现实意义。但是，同一种癌细胞可对应多种特异性识别靶向分子，不同种类的癌细胞也存在相同的靶向分子现象，仅凭单一靶向分子检测癌细胞很难做出准确诊断。针对以上问题，本项目提出将多种适配体与银纳米簇有机结合，构建多色银纳米簇-氧化石墨烯组装体系，并将其用于多通道荧光成像特异性检测癌细胞。以人乳腺癌细胞MCF-7为主要研究对象，利用适配体功能化的多色荧光银纳米簇作为识别元件和信号元件，以氧化石墨烯作为信号探针载体和荧光猝灭元件，基于信号猝灭-恢复转换机制，通过多种适配体与癌细胞的特异性结合产生多色荧光信号响应，实现癌细胞多通道检测。本项目的开展将构建出新型癌细胞检测体系的模型，有助于实现癌细胞准确灵敏、高效特异的多元同时检测，进而为癌症的早期诊断提供可能的技术支持。

中文关键词： 多色银纳米簇；核酸适配体；多通道荧光检测；乳腺癌细胞；细胞成像

英文摘要： Target cancer cell detection has important practical significance for early diagnosis of cancer and treatment process tracking. The same kind of cancer cell can correspond to several specific targeting molecules, and different types of cancer cells also have the same targeting molecule. Single-target detection of cancer cell is difficult to make an accurate diagnosis. To solve the above problem, in this proposal, we plan to construct multicolor silver nanoclusters-graphene oxide assembly system by integrating several aptamers and silver nanoclusters, which are applied to multichannel fluorescence imaging for specific detection of cancer cell. Using human breast cancer cells MCF-7 as the main research object, aptamer functionalized multicolor silver nanoclusters serve as both the recognition and signaling elements, graphene oxide serve as both the signal probe carrier and the fluorescence quencher. Taking advantage of specific binding of several apatmers and cancer cell, the fluorescence signals of silver nanoclusters are expected to be activated based on the signal quenching-recovery conversion mechanism, resulting in multichannel detection of cancer cell. A new model of cancer cell detection system will be explored to provide a new avenue for accurate and sensitive, specific and efficient multi-simultaneous detection of cancer cell, and possible technical support for the early diagnosis of cancer.

英文关键词： multicolor silver nanoclusters;aptamer;multichannel fluorescence detection;breast cancer cell;cell imaging