4.8 Article

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

Journal

ANALYTICAL CHEMISTRY
Volume 92, Issue 15, Pages 10839-10846

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c02524

Keywords

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Funding

  1. Natural Science Foundation of China [21804120, 21735002, 21778016, 21675046, 21775036, 21521063]

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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 cancerrelated 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-it 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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