小RNA
过程性
DNA
计算生物学
生物传感器
核酸内切酶
细胞内
计算机科学
生物
细胞生物学
纳米技术
滚动圆复制
胶体金
多重位移放大
多路复用
癌细胞
抑制器
生物物理学
劈理(地质)
化学
癌变
信号(编程语言)
荧光
DNA聚合酶
RNA干扰
癌症
分子生物学
适体
DNA损伤
荧光素酶
A-DNA
聚合酶
多路复用
作者
Haoping Zhang,Min Pan,Xinyi Wang,Jingyu Tao,Zhaolong Tang,Hong Wang,Yingwei Zhang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2025-10-27
卷期号:10 (11): 8801-8808
被引量:5
标识
DOI:10.1021/acssensors.5c02731
摘要
The escalating global cancer burden necessitates the development of precise tumor-specific microRNA (miRNA) detection strategies. However, the low-abundance, short-length, and high-sequence homology of miRNAs significantly hinder their accurate detection. Moreover, growing evidence of miRNA codysregulation in tumorigenesis underscores the diagnostic advantage of multiplexed analysis over single-marker approaches. Here, we present a novel bipedal DNA walker-based biosensor (BDWA) assembled on gold nanoparticles for the simultaneous detection of dual-miRNA targets. This system uniquely integrates dual-miRNA responsiveness with tumor-endogenous enzyme-driven signal amplification operating within a triple-input orthogonal AND-logic gate framework to enhance diagnostic specificity. Specifically, the concurrent presence of miR-21 and miR-155 displaces blocking strands to activate the walker, while the tumor-associated endonuclease APE1 serves as an intracellular trigger that propels the walker along engineered hairpin tracks (H1) on AuNPs. APE1-mediated cleavage of abasic (AP) sites results in the release and amplification of fluorescence signals initiated by the dual-targets. The bipedal architecture of the walker ensures a high processivity and efficient signal amplification. Critically, this design produces output signals only when all three inputs─miR-21, miR-155, and APE1─are present, thereby minimizing background interference and false positives. The BDWA system demonstrates high sensitivity and specificity for dual-miRNA detection in tumor cell lysates and intracellular imaging, offering a robust, tumor-activated, and programmable molecular platform for next-generation cancer diagnostics.
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