ArticleProceedings of the National Academy of Sciences of the United States of America2013
Stacking nonenzymatic circuits for high signal gain.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- On Degradation-Induced Leak in Heterochiral DNA Strand Displacement Cascades.ACS synthetic biology · 2026Article
- Article
- The Trend of Nonenzymatic Nucleic Acid Amplification: Strategies and Diagnostic Application.Precision chemistry · 2025Review
- Directing Nanoparticle Organization in Response to Diverse Chemical Inputs.Journal of the American Chemical Society · 2024Article
- Y-switch: a spring-loaded synthetic gene switch for robust DNA/RNA signal amplification and detection.Nucleic acids research · 2024Article
- DNA-directed formation of plasmonic core-satellite nanostructures for quantification of hepatitis C viral RNA.Chemical science · 2024Article
- Recent advances in cascade isothermal amplification techniques for ultra-sensitive nucleic acid detection.Talanta · 2023Review
- 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
- High-fidelity ATP imagingChemical science · 2022Article
- Coupling nucleic acid circuitry with the CRISPR-Cas12a system for universal and signal-on detection.RSC advances · 2022Article
- Recent Progress in Nanomaterials Modified Electrochemical Biosensors for the Detection of MicroRNA.Micromachines · 2021Review
- Development of Synthetic DNA Circuit and Networks for Molecular Information Processing.Nanomaterials (Basel, Switzerland) · 2021Review
- Development of an Automated, Non-Enzymatic Nucleic Acid Amplification Test.Micromachines · 2021Article
- A Cooperative DNA Catalyst.Journal of the American Chemical Society · 2021Article
- Addition of mirror-image L-DNA elements to DNA amplification circuits to distinguish leakage from target signal.Biosensors & bioelectronics · 2021Article
- Nucleic Acids Analysis.Science China. Chemistry · 2021Review
- Sensitive Detection of Nucleic Acids Using Subzyme Feedback Cascades.Molecules (Basel, Switzerland) · 2020Article
- Elucidation of leak-resistance DNA hybridization chain reaction with universality and extensibility.Nucleic acids research · 2020Article
- ModifiedFrontiers in molecular neuroscience · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
Signal amplification schemes that do not rely on protein enzymes show great potential in areas as abstruse as DNA computation and as applied as point-of-care molecular diagnostics. Toehold-mediated strand displacement, a programmable form of dynamic DNA hybridization, can be used to design powerful amplification cascades that can achieve polynomial or exponential amplification of input signals. However, experimental implementation of such amplification cascades has been severely hindered by circuit leakage due to catalyst-independent side reactions. In this study, we systematically analyzed the origins, characteristics, and outcomes of circuit leakage in amplification cascades and devised unique methods to obtain high-quality DNA circuits that exhibit minimal leakage. We successfully implemented a two-layer cascade that yielded 7,000-fold signal amplification and a two-stage, four-layer cascade that yielded upward of 600,000-fold signal amplification. Implementation of these unique methods and design principles should greatly empower molecular programming in general and DNA-based molecular diagnostics in particular.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.