A Molecular Beacon Based Surface-Enhanced Raman Scattering Nanotag for Noninvasive Diagnosis of Bladder Cancer

Author:

Zhang Pu,Zhang Yanning,Liu Wenhao,Cui Daxiang,Zhao Xiangwei,Song Jie,Guo Ting,Ni Haibin,Zhang Mengzhao,Zhang Haibao,Yang Tao,Chen Guanqiu,Wang Lei,Fan Jinhai

Abstract

Current techniques responsible for bladder cancer diagnosis and monitoring are insensitive and invasive. Here, we report a surface-enhanced Raman scattering nanotag for the sensitive diagnosis of bladder cancer using urine samples as a noninvasive approach. The sea-urchin-like Au nanoclusters used in this work exhibit excellent surface-enhanced Raman scattering ability with an enhancement factor of 3.44 × 107. Molecular beacons labeled with Cy3 are covalently anchored to the surface of Au nanoclusters, which serve as a specific recognition site for survivin mRNA. Further a polyethylene glycol coating provides stability and completes the final functionalization. This surface-enhanced Raman scattering nanotag has good efficiency (equilibrium time: 10 min) with high sensitivity (detection threshold: 19.4 nM), high specificity (capable of single-base mismatch recognition) and good stability against nucleases. All these features are also verified in the fluorescence modality. Furthermore, its function was highly maintained in clinical samples from 13 patients with bladder cancer, as evidenced by a sensitivity up to 91.7% and a specificity up to 100%. The nanotag demonstrates its superiority over cytology and has its great clinical value even for early bladder cancer diagnosis. Thus, the nanotag is promising for noninvasive and sensitive diagnosis of bladder cancer.

Publisher

American Scientific Publishers

Subject

Pharmaceutical Science,General Materials Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3