Signal Propagation in Surface-Confined DNA Circuits with Rigidified DNA Origami
Surface-confined DNA computing has emerged as a powerful information processing paradigm, offering enhanced specificity and accelerated reaction kinetics. Artificially designed DNA origami serves as a key enabler for such systems by providing a highly programmable platform for positioning computational components with nanometer resolution. However, conventional monolayer DNA origami circuits often exhibit non-negligible signal leakage, attributed to structural fluctuation-induced crosstalk between surface-confined molecules. Here, we utilize a rigidified double-layered uniaxial DNA origami platform to suppress the intrinsic structural fluctuation, thereby achieving high-fidelity signal propagation via minimizing fluctuation-mediated leakage. The rigidified DNA origami serves as a reliable computing platform to provide site arrangements that are narrowly distributed and closer to theoretical design. Basic propagation modules of varying orientations and spacings are implemented with reduced leakage and increased on-off ratios. We further demonstrate high-performance parallel transmission lines and logic gates on rigidified DNA origami. This approach establishes a generalizable strategy for engineering reliable platforms for surface-confined DNA computing.
Authors
- Chunhai Fan (ORCID: https://orcid.org/0000-0002-7171-7338)
- Hui Lv (ORCID: https://orcid.org/0000-0002-2751-4293)
- Chenyun Sun (ORCID: https://orcid.org/0009-0006-7761-9591)
- Xiaoguo Liu (ORCID: https://orcid.org/0000-0002-7834-399X)
- Haozhi Wang (ORCID: https://orcid.org/0009-0006-7777-2668)
- Kai Xia
- Qian Zhang (ORCID: https://orcid.org/0000-0002-9187-4277)
- Fei Wang (ORCID: https://orcid.org/0000-0003-3948-6899)
- Haitao Song (ORCID: https://orcid.org/0000-0003-2113-2224)
- Zhikun Zhao (ORCID: https://orcid.org/0009-0004-8687-5613)
- Mingqiang Li (ORCID: https://orcid.org/0000-0001-9854-2251)
Institutions
- Shanghai University (CN)
- Shanghai Jiao Tong University (CN)
- Shanghai Innovative Research Center of Traditional Chinese Medicine (CN)
- Institute for Advanced Study (DE)
- Allen Institute for Artificial Intelligence (US)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Journal of the American Chemical Society
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1021/jacs.5c10818
- Citations
- 3
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Natural Science Foundation of China
- K. C. Wong Education Foundation
- National Key Research and Development Program of China