DNA computing function switching by programming base stacking interactions with minimal molecular architecture changes
In biological systems, molecular network functionalities are usually switched in a flexible, facile, and programmable manner. Mimicking this, substantial studies are directed towards developing synthetic DNA networks that exhibit similar function-switching capabilities, though often hindered by extensive molecular architecture changes and stringent condition controls, which result in a time-consuming and labor-intensive process. Here, we develop a base stacking-mediated allostery strategy to manipulate the DNA computing function switching with minimal molecular architecture changes, usually as few as 1-2 nucleotide changes. We implement up to 20 distinct logic function switching within DNAzyme networks. We also validate our function switching platform to implement totally 84 kinds of gene regulation patterns in cancer cell lines, demonstrating its utility in RNA sensing and green fluorescent protein regulation. This strategy offers a simplified alternative approach to enrich DNA regulations, with potential applications in DNA computing and bioengineering.
Authors
- Xuedong Zheng (ORCID: https://orcid.org/0000-0002-8892-3074)
- Jing Yang (ORCID: https://orcid.org/0000-0001-5481-7962)
- Shi Liu (ORCID: https://orcid.org/0000-0002-4916-9312)
- Guangjun Nie (ORCID: https://orcid.org/0000-0001-5040-9793)
- Yonggang Ke (ORCID: https://orcid.org/0000-0003-1673-2153)
- Cheng Zhang (ORCID: https://orcid.org/0000-0002-1131-6516)
- Suping Li (ORCID: https://orcid.org/0000-0002-0294-8861)
- Yongpeng Zhang (ORCID: https://orcid.org/0000-0001-7955-5524)
- Bozhao Li (ORCID: https://orcid.org/0000-0001-6502-4722)
- Xuan Liu (ORCID: https://orcid.org/0009-0003-7741-8229)
Institutions
- Shenyang Aerospace University (CN)
- Emory University (US)
- North China Electric Power University (CN)
- Peking University (CN)
- Inner Mongolia University (CN)
- The Wallace H. Coulter Department of Biomedical Engineering (US)
- National Center for Nanoscience and Technology (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1038/s41467-025-64406-x
- Citations
- 1
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Natural Science Foundation of China
- Peking University
- National Key Research and Development Program of China