Hairygami: Analysis of DNA Nanostructures’ Conformational Change Driven by Functionalizable Overhangs
Source abstract
Abstract
DNA origami is a widely used method to construct nanostructures by self-assembling designed DNA strands. These structures are often used as "pegboards" for templated assembly of proteins, gold nanoparticles, aptamers, and other molecules, with applications ranging from therapeutics and diagnostics to plasmonics and photonics. Imaging these structures using atomic force microscopy (AFM) or transmission electron microscope (TEM) does not capture their full conformation ensemble as they only show their shape flattened on a surface. However, certain conformations of the nanostructure can position guest molecules into distances unaccounted for in their intended design, thus leading to spurious interactions between guest molecules that are designed to be separated. Here, we use molecular dynamics simulations to capture a conformational ensemble of two-dimensional (2D) DNA origami tiles and show that introducing single-stranded overhangs, which are typically used for functionalization of the origami with guest molecules, induces a curvature of the tile structure in the bulk. We show that the shape deformation is of entropic origin, with implications for the design of robust DNA origami breadboards as well as a potential approach to modulate structure shape by introducing overhangs. We then verify experimentally that the DNA overhangs introduce curvature into the DNA origami tiles under divalent as well as monovalent salt buffer conditions. We further experimentally verify that DNA origami functionalized with attached proteins also experiences such induced curvature. We provide the developed simulation code implementing the enhanced sampling to characterize the conformational space of DNA origami as open source software.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · RNA Interference and Gene Delivery · Plasmonic and Surface Plasmon Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School for Engineering of Matter, Transport, and Energy
Arizona State University
School of Molecular Sciences and Center for Molecular Design and Biomimetics, The Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
Center for Biological Physics
Department of Bioscience
TU Munich, School of Natural Sciences
Funding
Division of Computing and Communication Foundations · Office of Naval Research
References (64)
Show source-provided references
1. 10.1007/s12033-007-0059-410.1007/s12033-007-0059-4 ↗
2. 10.1016/j.cell.2020.02.01110.1016/j.cell.2020.02.011 ↗
3. 10.1038/nnano.2010.23110.1038/nnano.2010.231 ↗
4. 10.1038/nnano.2011.18710.1038/nnano.2011.187 ↗
5. 10.1016/j.copbio.2019.12.01610.1016/j.copbio.2019.12.016 ↗
6. 10.1038/nature0458610.1038/nature04586 ↗
7. 10.1038/nature0801610.1038/nature08016 ↗
8. 10.1038/s43586-020-00009-810.1038/s43586-020-00009-8 ↗
9. 10.1021/ja910119810.1021/ja9101198 ↗
10. 10.1021/acsami.9b2070710.1021/acsami.9b20707 ↗
11. 10.1002/ange.20100593110.1002/ange.201005931 ↗
12. 10.1073/pnas.121571310910.1073/pnas.1215713109 ↗
13. 10.1126/science.aaf438810.1126/science.aaf4388 ↗
14. 10.1016/j.isci.2022.10437310.1016/j.isci.2022.104373 ↗
15. 10.1038/nprot.2017.02410.1038/nprot.2017.024 ↗
16. 10.1021/acsnano.8b0166910.1021/acsnano.8b01669 ↗
17. 10.1063/1.355294610.1063/1.3552946 ↗
18. 10.1063/1.492195710.1063/1.4921957 ↗
19. 10.1063/1.475413210.1063/1.4754132 ↗
20. 10.1093/nar/gkaa20010.1093/nar/gkaa200 ↗
21. 10.1021/acsnano.1c1034710.1021/acsnano.1c10347 ↗
22. 10.1093/nar/gkr117310.1093/nar/gkr1173 ↗
23. 10.1093/nar/gky130410.1093/nar/gky1304 ↗
24. 10.1126/sciadv.abn003910.1126/sciadv.abn0039 ↗
25. 10.1021/acsabm.2c0104510.1021/acsabm.2c01045 ↗
26. 10.1002/jcc.2376310.1002/jcc.23763 ↗
27. 10.21105/joss.0469310.21105/joss.04693 ↗
28. 10.1039/c3cp53545b10.1039/c3cp53545b ↗
29. 10.3389/fmolb.2021.69371010.3389/fmolb.2021.693710 ↗
30. 10.1063/1.488142410.1063/1.4881424 ↗
31. 10.1021/jp510061f10.1021/jp510061f ↗
32. 10.1126/science.aan655810.1126/science.aan6558 ↗
33. 10.1038/s41563-018-0205-310.1038/s41563-018-0205-3 ↗
34. 10.1126/sciadv.abq483410.1126/sciadv.abq4834 ↗
35. 10.1038/nmeth.380410.1038/nmeth.3804 ↗
36. 10.1126/science.abd617910.1126/science.abd6179 ↗
37. 10.1002/wcms.6610.1002/wcms.66 ↗
38. 10.1039/D1NR05716B10.1039/D1NR05716B ↗
39. 10.3390/app1212587510.3390/app12125875 ↗
40. 10.1073/pnas.210905711810.1073/pnas.2109057118 ↗
41. Doye, J. P. K.; Louis, A. A.; Schreck, J. S.; Romano, F.; Harrison, R. M.; Mosayebi, M.; Engel, M. C.; Ouldridge, T. E. Frontiers of Nanoscience; Elsevier, 2022; Vol. 21, pp 195–210.10.1016/B978-0-12-824406-7.00016-6 ↗
42. 10.1093/nar/gkz113710.1093/nar/gkz1137 ↗
43. 10.1021/jacs.2c0852910.1021/jacs.2c08529 ↗
44. 10.1039/D0SM01639J10.1039/D0SM01639J ↗
45. 10.1021/jacs.1c0036310.1021/jacs.1c00363 ↗
46. 10.1021/nl400881w10.1021/nl400881w ↗
47. 10.1021/jacs.6b0409610.1021/jacs.6b04096 ↗
48. 10.1021/jacs.3c0749110.1021/jacs.3c07491 ↗
49. 10.1038/ncomms209510.1038/ncomms2095 ↗
50. 10.1093/nar/gkaa41710.1093/nar/gkaa417 ↗
51. 10.1038/s41596-022-00688-510.1038/s41596-022-00688-5 ↗
52. 10.1016/0009-2614(74)80109-010.1016/0009-2614(74)80109-0 ↗
53. 10.1016/0021-9991(77)90121-810.1016/0021-9991(77)90121-8 ↗
54. 10.1103/PhysRevLett.63.119510.1103/PhysRevLett.63.1195 ↗
55. 10.1002/jcc.54013081210.1002/jcc.540130812 ↗
56. Grossfield, A. WHAM: The Weighted Histogram Analysis Method, version 2.0.10, 2024 http://membrane.urmc.rochester.edu/wordpress/?page_id/126. accessed on March 01, 2024.
57. 10.1021/acsnano.2c0401310.1021/acsnano.2c04013 ↗
58. Xu, Y.; Zheng, R.; Prasad, A.; Liu, M.; Wan, Z.; Zhou, X.; Porter, R. M.; Sample, M.; Poppleton, E.; Procyk, J. High-affinity binding to the SARS-CoV-2 spike trimer by a nanostructured, trivalent protein-DNA synthetic antibody bioRxiv 2023. (accessed September 24, 2024).10.1101/2023.09.18.558353 ↗
59. 10.1002/jcc.2602910.1002/jcc.26029 ↗
60. 10.1002/pro.479210.1002/pro.4792 ↗
61. 10.1002/pro.394310.1002/pro.3943 ↗
62. 10.1002/pro.323510.1002/pro.3235 ↗
63. 10.1093/nar/gkab100010.1093/nar/gkab1000 ↗
64. Sample, M.; Liu, H.; Diep, T.; Matthies, M. Šulc, P. Hairygami: Analysis of DNA Nanostructures’ Conformational Change Driven by Functionalizable Overhangs, arXiv:2302.09109. arXiv.org e-Print archive, 2023. https://arxiv.org/abs/2302.09109. (accessed September 24, 2024).