Issue 37, 2024

Strong sequence–dependence in RNA/DNA hybrid strand displacement kinetics

Abstract

Strand displacement reactions underlie dynamic nucleic acid nanotechnology. The kinetic and thermodynamic features of DNA-based displacement reactions are well understood and well predicted by current computational models. By contrast, understanding of RNA/DNA hybrid strand displacement kinetics is limited, restricting the design of increasingly complex RNA/DNA hybrid reaction networks with more tightly regulated dynamics. Given the importance of RNA as a diagnostic biomarker, and its critical role in intracellular processes, this shortfall is particularly limiting for the development of strand displacement-based therapeutics and diagnostics. Herein, we characterise 22 RNA/DNA hybrid strand displacement systems, alongside 11 DNA/DNA systems, varying a range of common design parameters including toehold length and branch migration domain length. We observe  that differences in stability between RNA–DNA hybrids and DNA–DNA duplexes have large effects on strand displacement rates, with rates for equivalent sequences differing by up to 3 orders of magnitude. Crucially, however, this effect is strongly sequence-dependent, with RNA invaders strongly favoured in a system with RNA strands of high purine content, and disfavoured in a system when the RNA strands have low purine content. These results lay the groundwork for more general design principles, allowing for creation of de novo reaction networks with novel complexity while maintaining predictable reaction kinetics.

Graphical abstract: Strong sequence–dependence in RNA/DNA hybrid strand displacement kinetics

Supplementary files

Article information

Article type
Paper
Submitted
06 Feb 2024
Accepted
19 Aug 2024
First published
05 Sep 2024
This article is Open Access
Creative Commons BY license

Nanoscale, 2024,16, 17624-17637

Strong sequence–dependence in RNA/DNA hybrid strand displacement kinetics

F. G. Smith, J. P. Goertz, K. Jurinović, M. M. Stevens and T. E. Ouldridge, Nanoscale, 2024, 16, 17624 DOI: 10.1039/D4NR00542B

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