Multiform DNA origami arrays using minimal logic control
Source abstract
Abstract
Self-assembled DNA nanostructures significantly contribute to DNA nanotechnology. Algorithmic guiding of the assembly of DNA arrays remains a challenge in nanoarchitecture. Usually, the more sophisticated a DNA nanoarchitecture, the more DNA connections with specific sequences are required. This study aimed to investigate the feasibility of using the minimum pairs of DNA connection strands to implement algorithm-based self-assembly with finite DNA origamis. We found that the DNA origami linking complexity was markedly reduced. By rotating and turning the origami tile in different linking directions, we obtained 2 × 2 arrays of DNA origamis using a pair of DNA connections, 2 × 4 arrays using two pairs of DNA connections, and 4 × 4 arrays using three pairs of connection strands. We further analysed the effects of distortion on array formation. Overall, this study presents a hierarchical assembly strategy with minimal connections to generate multi-scale DNA arrays.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · RNA Interference and Gene Delivery · Biosensors and Analytical Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of High Confidence Software Technologies of Ministry of Education
Institute of Software
School of Electronics Engineering and Computer Science
Peking University
Beijing 100871
Institute of Computing Science & Technology
Guangzhou University
Guangzhou 510006
China
Funding
National Basic Research Program of China · National Natural Science Foundation of China
References (34)
Show source-provided references
1. Rothemund · Nature · 2006 · 440 · 29710.1038/nature04586 ↗
2. Pilo-Pais · Nano Lett. · 2011 · 11 · 348910.1021/nl202066c ↗
3. Han · Science · 2011 · 332 · 34210.1126/science.1202998 ↗
4. Schoeneweiss · Nanoscale · 2017 · 9 · 448610.1039/C6NR08314E ↗
5. Cecconello · Nat. Rev. Mater. · 2017 · 2 · 1703910.1038/natrevmats.2017.39 ↗
6. Ketterer · Sci. Adv. · 2016 · 2 · e150120910.1126/sciadv.1501209 ↗
7. Cao · Nucleic Acids Res. · 2009 · 37 · 462110.1093/nar/gkp489 ↗
8. Andersen · Nature · 2009 · 459 · 7310.1038/nature07971 ↗
9. Dage · Proc. Natl. Acad. Sci. U. S. A. · 2004 · 101 · 71710.1073/pnas.0305860101 ↗
10. Gines · Nat. Nanotechnol. · 2017 · 12 · 35110.1038/nnano.2016.299 ↗
11. Kopperger · Science · 2018 · 359 · 29610.1126/science.aao4284 ↗
12. Zhao · Angew. Chem. · 2010 · 122 · 145610.1002/ange.200906225 ↗
13. Zhao · Nano Lett. · 2011 · 11 · 299710.1021/nl201603a ↗
14. Shi · Sci. Rep. · 2017 · 7 · 681810.1038/s41598-017-07210-y ↗
15. Woo · Nat. Commun. · 2014 · 5 · 488910.1038/ncomms5889 ↗
16. Ali · Angew. Chem., Int. Ed. · 2014 · 53 · 766510.1002/anie.201403965 ↗
17. Green · Nature · 2017 · 548 · 11710.1038/nature23271 ↗
18. Chatterjee · Nat. Nanotechnol. · 2017 · 12 · 92010.1038/nnano.2017.127 ↗
19. Xu · IEEE Trans. Neural Networks Learn. Syst. · 2016 · 27 · 140510.1109/TNNLS.2016.2555845 ↗
20. Xu · IEEE Trans. Nanobiosci. · 2011 · 10 · 9410.1109/TNB.2011.2160996 ↗
21. Ausländer · Nat. Methods · 2018 · 15 · 5710.1038/nmeth.4505 ↗
22. Salehi · Sci. Rep. · 2018 · 8 · 831210.1038/s41598-018-26709-6 ↗
23. Woods · Nature · 2019 · 567 · 36610.1038/s41586-019-1014-9 ↗
24. Shi · Nanotechnology · 2014 · 25 · 07560210.1088/0957-4484/25/7/075602 ↗
25. Rothemund · PLoS Biol. · 2004 · 2 · e42410.1371/journal.pbio.0020424 ↗
26. Liu · Angew. Chem., Int. Ed. · 2011 · 50 · 26410.1002/anie.201005911 ↗
27. Seeman · Nat. Rev. Mater. · 2017 · 3 · 1706810.1038/natrevmats.2017.68 ↗
28. Shen · Angew. Chem., Int. Ed. · 2017 · 56 · 1607710.1002/anie.201710309 ↗
29. Tikhomirov · Nat. Nanotechnol. · 2017 · 12 · 25110.1038/nnano.2016.256 ↗
30. Zhang · Nano Lett. · 2016 · 16 · 73610.1021/acs.nanolett.5b04608 ↗
31. Tikhomirov · Nature · 2017 · 552 · 6710.1038/nature24655 ↗
32. Liu · Nat. Chem. · 2016 · 8 · 86710.1038/nchem.2540 ↗
33. Sung Ha · Angew. Chem., Int. Ed. · 2006 · 45 · 73510.1002/anie.200503797 ↗
34. Liu · J. Am. Chem. Soc. · 2005 · 127 · 1714010.1021/ja055614o ↗