journal article·2025-11-04Open access

Revealing and Engineering Assembly Pathways of 3D DNA Origami Crystals

Aaron Noam Michelson, Jason S. Kahn, Daniel McKeen, Brian Minevich, Daniel C. Redeker, Oleg Gang

ACS Nano· Volume 19· Issue 43

Abstract

Recent developments in nanomaterial self-assembly demonstrate the capability to create tailored nanostructures by engineering both the binding coordination and specificity of interactions between material subunits. DNA origami frames allow for the design and fabrication of a broad variety of ordered 3D nanoscale architectures through self-assembly, facilitated by frame-to-frame bonds with designable strength and specificity. While the bond design is critical to lattice formation, the assembly process itself is often dependent on a thermal pathway. Highly ordered nanoscale frameworks, assembled from DNA frames, are predominantly crystallized through thermal annealing pathways that typically follow a "slow" cooling approach, with experiments on the time scale of days yielding DNA origami crystals in the range of 1-10 μm. This extended assembly time scale hinders the study of crystal formation pathways, necessitating a deeper understanding of factors governing successful annealing. Lack of insight into time scale also presents a practical limitation for material fabrication. Here, we investigate key factors affecting lattice assembly pathways and demonstrate that precise engineering of assembly conditions greatly reduces assembly times by up to nearly 2 orders of magnitude. We evaluate the nucleation and growth of crystals via optical and electron microscopy, and small-angle X-ray scattering techniques, mapping the time-temperature-transformation of superlattices from the melt through single-crystal optical tracking. The results show that origami frame assembly can be described by classical nucleation and growth theory, which can, in turn, be used to prescribe the growth of the crystals. Lastly, these findings are applied to demonstrate thermal pathway-dependent assembly, forming distinct assemblies based on different thermal annealing profiles.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Modular Robots and Swarm Intelligence · RNA Interference and Gene Delivery

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Functional Nanomaterials

Brookhaven National Laboratory

Department of Chemical Engineering and Department of Applied Physics and Applied Mathematics

Columbia University

Center for Nanomedicine, Institute for Basic Science (IBS) and Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute

Yonsei University

Funding

Basic Energy Sciences

References (56)

Show source-provided references
1. 10.1038/nature0656010.1038/nature06560 ↗
2. 10.1038/nature0650810.1038/nature06508 ↗
3. 10.1103/PhysRevX.9.04105410.1103/PhysRevX.9.041054 ↗
4. 10.1103/PhysRevLett.102.01550410.1103/PhysRevLett.102.015504 ↗
5. 10.1021/acs.chemrev.1c0048210.1021/acs.chemrev.1c00482 ↗
6. 10.1002/adma.20210909110.1002/adma.202109091 ↗
7. 10.1038/nature0458610.1038/nature04586 ↗
8. 10.1002/mba2.3710.1002/mba2.37 ↗
9. 10.1038/nmat457110.1038/nmat4571 ↗
10. 10.1021/acs.nanolett.0c0502310.1021/acs.nanolett.0c05023 ↗
11. 10.1038/s41467-020-19439-910.1038/s41467-020-19439-9 ↗
12. 10.1021/acs.jpcc.0c1123810.1021/acs.jpcc.0c11238 ↗
13. 10.1021/acsnano.9b0691910.1021/acsnano.9b06919 ↗
14. 10.1038/nature1088910.1038/nature10889 ↗
15. 10.1002/anie.20210567810.1002/anie.202105678 ↗
16. 10.1126/science.abk046310.1126/science.abk0463 ↗
17. 10.1126/science.adl554910.1126/science.adl5549 ↗
18. 10.1126/science.adl273310.1126/science.adl2733 ↗
19. 10.1021/jacs.1c1133210.1021/jacs.1c11332 ↗
20. 10.1038/s41563-019-0550-x10.1038/s41563-019-0550-x ↗
21. 10.1021/acsnano.4c0419210.1021/acsnano.4c04192 ↗
22. 10.1021/acsnano.4c1788110.1021/acsnano.4c17881 ↗
23. 10.1039/D4SM00854E10.1039/D4SM00854E ↗
24. 10.1038/s41467-024-51049-710.1038/s41467-024-51049-7 ↗
25. 10.1039/D4SC07267G10.1039/D4SC07267G ↗
26. 10.1039/D0TB00807A10.1039/D0TB00807A ↗
27. 10.1039/D3SM01105D10.1039/D3SM01105D ↗
28. 10.1155/2021/179097610.1155/2021/1790976 ↗
29. 10.1073/pnas.230203712010.1073/pnas.2302037120 ↗
30. 10.1021/acsnano.2c0913110.1021/acsnano.2c09131 ↗
31. 10.1557/mrs.2016.9110.1557/mrs.2016.91 ↗
32. 10.1021/acs.nanolett.2c0137210.1021/acs.nanolett.2c01372 ↗
33. 10.1073/pnas.211405011810.1073/pnas.2114050118 ↗
34. 10.1038/s41563-020-0643-610.1038/s41563-020-0643-6 ↗
35. 10.1038/s41467-023-39992-310.1038/s41467-023-39992-3 ↗
36. 10.1021/acsnano.2c1167410.1021/acsnano.2c11674 ↗
37. 10.1038/s41467-018-06982-910.1038/s41467-018-06982-9 ↗
38. 10.1038/nature1273910.1038/nature12739 ↗
39. 10.1073/pnas.150467711210.1073/pnas.1504677112 ↗
40. 10.1021/acsnano.4c0930810.1021/acsnano.4c09308 ↗
41. 10.1126/science.122991910.1126/science.1229919 ↗
42. 10.1038/nmat429610.1038/nmat4296 ↗
43. 10.1021/acsnano.0c0016410.1021/acsnano.0c00164 ↗
44. 10.1021/acscentsci.0c0043010.1021/acscentsci.0c00430 ↗
45. 10.1557/mrs.2020.22910.1557/mrs.2020.229 ↗
46. 10.1021/acs.nanolett.8b0291010.1021/acs.nanolett.8b02910 ↗
47. 10.1021/acsnano.5b0677010.1021/acsnano.5b06770 ↗
48. 10.1016/j.xcrp.2023.10147510.1016/j.xcrp.2023.101475 ↗
49. 10.1038/s41563-025-02263-110.1038/s41563-025-02263-1 ↗
50. 10.1021/acs.macromol.5b0073510.1021/acs.macromol.5b00735 ↗
51. 10.1039/D1SM01171E10.1039/D1SM01171E ↗
52. 10.1002/ange.20130711310.1002/ange.201307113 ↗
53. 10.1073/pnas.95.4.146010.1073/pnas.95.4.1460 ↗
54. 10.1002/jcc.2159610.1002/jcc.21596 ↗
55. 10.1126/sciadv.abf061710.1126/sciadv.abf0617 ↗
56. 10.1126/sciadv.adt562010.1126/sciadv.adt5620 ↗