Journal article
Reconfigurable nanomaterials folded from multicomponent chains of DNA origami voxels
- Abstract:
- In cells, proteins rapidly self-assemble into sophisticated nanomachines. Bioinspired self-assembly approaches, such as DNA origami, have been used to achieve complex three-dimensional (3D) nanostructures and devices. However, current synthetic systems are limited by low yields in hierarchical assembly and challenges in rapid and efficient reconfiguration between diverse structures. Here, we developed a modular system of DNA origami "voxels" with programmable 3D connections. We demonstrate multifunctional pools of up to 12 unique voxels that can assemble into many shapes, prototyping 50 structures. Programmable switching of local connections between flexible and rigid states achieved rapid and reversible reconfiguration of global structures in three dimensions. Multistep assembly pathways were then explored to increase the yield. Voxels were assembled via flexible chain intermediates into rigid structures, increasing yield up to 100-fold. We envision that foldable chains of DNA origami voxels can achieve increased complexity in reconfigurable nanomaterials, providing modular components for the assembly of nanorobotic systems with future applications in synthetic biology, assembly of inorganic materials, and nanomedicine.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 5.5MB, Terms of use)
-
- Publisher copy:
- 10.1126/scirobotics.adp2309
Authors
- Publisher:
- American Association for the Advancement of Science
- Journal:
- Science Robotics More from this journal
- Volume:
- 9
- Issue:
- 96
- Article number:
- eadp2309
- Publication date:
- 2024-11-27
- Acceptance date:
- 2024-10-30
- DOI:
- EISSN:
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1095-9203
- ISSN:
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0036-8075
- Pmid:
-
39602517
- Language:
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English
- Keywords:
- Pubs id:
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2067483
- Local pid:
-
pubs:2067483
- Deposit date:
-
2024-11-29
Terms of use
- Copyright holder:
- Luu et al.
- Copyright date:
- 2024
- Rights statement:
- Copyright © 2024 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
- Notes:
-
The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford’s Open Access Publications Policy, and a CC BY public copyright licence has been applied.
This is the accepted manuscript version of the article. The final version is available online from American Association for the Advancement of Science at https://dx.doi.org/10.1126/scirobotics.adp2309
- Licence:
- CC Attribution (CC BY)
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