Recognition-Driven Remodeling of Dual-Split Aptamer Triggering In Situ Hybridization Chain Reaction for Activatable and Autonomous Identification of Cancer Cells

化学 适体 原位 鉴定(生物学) 原位杂交 对偶(语法数字) 连锁反应 癌症 计算生物学 分子生物学 生物化学 基因 遗传学 信使核糖核酸 光化学 文学类 生物 艺术 有机化学 植物
作者
Jinlu Tang,Yanli Lei,Xiaoxiao He,Jianbo Liu,Hui Shi,Kemin Wang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:92 (15): 10839-10846 被引量:40
标识
DOI:10.1021/acs.analchem.0c02524
摘要

Proximity-dependent hybridization chain reaction (HCR) has shown great potential in sensing biomolecules on the cell surface. However, the requirement of two adjacent bioevents occurring simultaneously limits its application. To solve the problem, split aptamers with target binding ability were introduced to combine with split triggers for initiating HCR, thus producing a novel dual-split aptamer probe (DSAP). By employing cancer-related receptors as models, in situ HCR on a cancer cell surface induced by recognition-driven remodeling of the DSAP was demonstrated. The DSAP consisted of two sequences. Each contained two segments; one derived from split aptamers and the other originated in split triggers. In the presence of target cells, split aptamers reassembled on the cell surface under the "induced-fit effect", thus forcing two split triggers close to each other. The remodeled DSAP worked as an intact trigger, which opened the H1 hairpin probe and then hybridized with the H2 hairpin probe, thus initiating HCR to produce an activated fluorescence signal. As a proof of concept, human liver cancer SMMC-7721 cells and their split ZY11 aptamer were used to construct the DSAP. Results indicated that the DSAP realized sensitive analysis of target cells, permitting the actual detection of 20 cells in the buffer. Moreover, the specific identification of target cells in mixed cell samples and the quantitative analysis of target cells in serum were also achieved. The DSAP strategy is facile and universal, which not only would expand the application range of HCR but also might be developed as a multitarget detection technique for bioanalysis.
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