An electrochemical biosensor designed with entropy-driven autocatalytic DNA circuits for sensitive detection of ovarian cancer-derived exosomes

被引:27
作者
Deng, Ying [1 ]
Zhou, Tianci [1 ]
Hu, Kai [2 ]
Peng, Ying [3 ]
Jia, Xuemei [2 ]
Yang, Jie [1 ]
Li, Genxi [1 ,4 ]
机构
[1] Nanjing Univ, Sch Life Sci, State Key Lab Analyt Chem Life Sci, Nanjing 210023, Peoples R China
[2] Nanjing Med Univ, Nanjing Matern & Child Hlth Care Hosp, Womens Hosp, Dept Gynecol, Nanjing 210004, Peoples R China
[3] Guizhou Med Univ, Sch Biol & Engn, Sch Modern Ind Hlth & Med, Guiyang 550025, Peoples R China
[4] Shanghai Univ, Ctr Mol Recognit & Biosensing, Sch Life Sci, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
Electrochemical biosensor; DNA circuit; Exosome detection; Cancer diagnosis;
D O I
10.1016/j.bios.2024.116060
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Intelligent artificial DNA circuits have emerged as a promising approach for modulating signaling pathways and signal transduction through rational design, which may contribute to comprehensively realizing biomolecular sensing of organisms. In this work, we have fabricated an electrochemical biosensor for the sensitive and accurate detection of ovarian cancer-derived exosomes by constructing an entropy-driven autocatalytic DNA circuit (EADC). Specifically, the robust EADC is prepared by the self-assembly of well-designed DNA probes, and upon stimulation of the presence of ovarian cancer cells-derived exosomes, numerous inputs can be produced to feedback and accelerate the reaction. The catalytic abilities of the generated input sequences play a pivotal role in EADC and dramatically enhance the signal amplification capability. Through the combination of the autocatalytic circuit and circular cleavage reactions, significantly changed electrochemical signals can be recorded for sensitive analysis of the exosomes with a remarkably low detection limit of 30 particles/mu L. Moreover, the proposed enzyme-free biosensor shows exceptional performance in distinguishing patient samples from healthy samples, which exhibits promising prospects for the clinical diagnosis of ovarian cancer.
引用
收藏
页数:7
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