ArticleChemical science2022
Monitoring and modulating a catalytic hybridization circuit for self-adaptive bioorthogonal DNA assembly.
Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Scaling up of a Self-Confined Catalytic Hybridization Circuit for Robust microRNA Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Cascaded, Feedback-Driven, and Spatially Localized Emergence of Constitutional Dynamic Networks Driven by Enzyme-Free Catalytic DNA Circuits.Journal of the American Chemical Society · 2023Article
- The compact integration of a cascaded HCR circuit for highly reliable cancer cell discrimination.Chemical science · 2023Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Constructing artificial domino nanoarchitectures, especially dynamic DNA circuits associated with the actuation of biological functions inside live cells, represents a versatile and powerful strategy to regulate the behaviors and fate of various living entities. However, the stepwise operation of conventional DNA circuits always relies on freely diffusing reactants, which substantially slows down their operation rate and efficiency. Herein, a self-adaptive localized catalytic circuit (LCC) is developed to execute the self-sustained bioorthogonal assembly of DNA nanosponges within a crowded intracellular environment. The LCC-generated DNA scaffolds are utilized as versatile templates for realizing the proximity confinement of LCC reactants. Single-molecule-detecting fluorescence correlation spectroscopy (FCS) is used to explore the reaction acceleration of the catalytic circuit. This self-adaptive DNA circuit facilitates the bioorthogonal assembly of highly branched DNA networks for robust and accurate monitoring of miRNA targets. Based on its intriguing and modular design, the LCC system provides a pivotal molecular toolbox for future applications in early disease diagnosis.
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Registered trials
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