Molecular logic gates based on programmable self-assembly of DNA origami triangles for the detection of nucleic acid molecules
Abstract The development of programmable DNA origami architectures with combinatorial complexity remains a critical challenge in molecular nanotechnology. This study develops a programmable nucleic acid detection platform by integrating DNA origami nanostructures with molecular logic gates, advancin...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-15119-0 |
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| Summary: | Abstract The development of programmable DNA origami architectures with combinatorial complexity remains a critical challenge in molecular nanotechnology. This study develops a programmable nucleic acid detection platform by integrating DNA origami nanostructures with molecular logic gates, advancing the field of dynamic molecular computation. Triangular DNA origami modules, designed with edge-specific hybridization sites, successfully emulate Boolean logic operations (YES, AND, and OR gates) to achieve target-driven hierarchical self-assembly. As a proof of concept, significant biomarkers for early lung cancer diagnosis, were detected as targets, demonstrating the platform’s multiplexed analytical capabilities. By coupling the programmability of DNA nanostructures with molecular recognition logic, the platform constructs autonomous systems capable of interpreting biological signals via predefined algorithms. The modular architecture supports the scalability of multi-layered logic circuits, while atomic force microscopy (AFM) provides nanoscale-resolution validation of assemblies. Toehold-mediated strand displacement enables dynamic disassembly of structures, endowing the system with resettable and adaptive feedback functionalities. This technology lays the groundwork for transformative applications in precision diagnostics, synthetic biology, and adaptive nanomedicine. |
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| ISSN: | 2045-2322 |