| Autor: |
Smith FG; Department of Materials, Imperial College London, London, SW7 2AZ, UK.; Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK., Goertz JP; Department of Materials, Imperial College London, London, SW7 2AZ, UK., Jurinović K; Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.; Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK. t.ouldridge@imperial.ac.uk., Stevens MM; Department of Materials, Imperial College London, London, SW7 2AZ, UK.; Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK. t.ouldridge@imperial.ac.uk., Ouldridge TE; Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.; Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK. t.ouldridge@imperial.ac.uk. |
| Abstrakt: |
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. |
