Programming DNA Reaction Networks Using Allosteric DNA Hairpins

Biomolecules. 2023 Mar 5;13(3):481. doi: 10.3390/biom13030481.

Abstract

The construction of DNA reaction networks with complex functions using various methods has been an important research topic in recent years. Whether the DNA reaction network can perform complex tasks and be recycled directly affects the performance of the reaction network. Therefore, it is very important to design and implement a DNA reaction network capable of multiple tasks and reversible regulation. In this paper, the hairpin allosteric method was used to complete the assembly task of different functional nucleic acids. In addition, information conversion of the network was realized. In this network, multiple hairpins were assembled into nucleic acid structures with different functions to achieve different output information through the cyclic use of trigger strands. A method of single-input dual-output information conversion was proposed. Finally, the network with signal amplification and reversible regulation was constructed. In this study, the reversible regulation of different functional nucleic acids in the same network was realized, which shows the potential of this network in terms of programmability and provides new ideas for constructing complex and multifunctional DNA reaction networks.

Keywords: DNA reaction networks; allosteric DNA hairpins; functional nucleic acids; reversible regulation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • DNA* / chemistry
  • DNA* / genetics
  • Nucleic Acids* / chemistry

Substances

  • DNA
  • Nucleic Acids

Grants and funding

This work is supported by 111 Project, grant number D23006; National Natural Science Foundation of China, grant number 62272079; 61972266; Liaoning Revitalization Talents Program, grant number XLYC2008017; Natural Science Foundation of Liaoning Province, grant number 2021-MS-344; 2021-KF-11-03; 2022-KF-12-14; Postgraduate Education Reform Project of Liaoning Province, grant number LNYJG2022493; Dalian Outstanding Young Science and Technology Talent Support Program, grant number 2022RJ08.