ArticleJournal of the American Chemical Society2017
Multi-Arm Junctions for Dynamic DNA Nanotechnology.
Article in Journal of the American Chemical Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 92 citations in OpenAlex.
- Generation of DNA oligomers with similar chemical kinetics via in-silico optimization.Communications chemistry · 2023Article
- Leveraging Steric Moieties for Kinetic Control of DNA Strand Displacement Reactions.Journal of the American Chemical Society · 2023Article
- Addition of dNTPs can improve the detection sensitivity of catalytic hairpin assembly.iScience · 2023Article
- Article
- Programming nanoparticle valence bonds with single-stranded DNA encoders.Nature materials · 2020Article
- A domain-level DNA strand displacement reaction enumerator allowing arbitrary non-pseudoknotted secondary structures.Journal of the Royal Society, Interface · 2020Article
- Elucidation of leak-resistance DNA hybridization chain reaction with universality and extensibility.Nucleic acids research · 2020Article
- Distance and Microsphere Aggregation-Based DNA Detection in a Paper-Based Microfluidic Device.SLAS technology · 2020Article
- Single-molecule dynamic DNA junctions for engineering robust molecular switches.Chemical science · 2019Article
- Building in vitro transcriptional regulatory networks by successively integrating multiple functional circuit modules.Nature chemistry · 2019Article
- Designed and Evolved Nucleic Acid Nanotechnology: Contrast and Complementarity.Bioconjugate chemistry · 2019Review
- Effective design principles for leakless strand displacement systems.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Automated sequence-level analysis of kinetics and thermodynamics for domain-level DNA strand-displacement systems.Journal of the Royal Society, Interface · 2018Article
- Modular DNA strand-displacement controllers for directing material expansion.Nature communications · 2018Article
- Synthesis of comb-shaped DNA using a non-nucleosidic branching phosphoramidite.Organic & biomolecular chemistry · 2018Article
- Article
- CAGE: Chromatin Analogous Gene Expression.ACS synthetic biology · 2017Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Nonenzymatic catalytic substrates have been engineered using toehold-mediated DNA strand displacement, and their programmable applications range from medical diagnosis to molecular computation. However, the complexity, stability, scalability, and sensitivity of those systems are plagued by network leakage. A novel way to suppress leakage is to increase its energy barrier through four-way branch migration. Presented here, we designed multi-arm junction substrates that simultaneously exploit four-way branch migration, with a high-energy barrier to minimize leakage, and three-way branch migration, with a low-energy barrier to maximize catalysis. Original feed forward, autocatalytic, and cross-catalytic systems have been designed with polynomial and exponential amplification that exhibit the modularity of linear substrates and the stability of hairpin substrates, creating a new phase space for synthetic biologist, biotechnologist, and DNA nanotechnologists to explore. A key insight is that high-performing circuits can be engineered in the absence of intensive purification and/or extensive rounds of design optimization. Without adopting established leakage suppression techniques, the ratio of the catalytic rate constant to the leakage rate constant is more than 2 orders of magnitude greater than state-of-the-art linear and hairpin substrates. Our results demonstrate that multi-arm junctions have great potential to become central building blocks in dynamic DNA nanotechnology.
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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.