Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures

DNA nanotechnology enables the programmed synthesis of intricate nanometer-scale structures for diverse applications in materials and biological science. Precise control over the 3D solution shape and mechanical flexibility of target designs is important to achieve desired functionality. Because exp...

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Main Authors: Kilchherr, F., Dietz, H., Kim, Do-Nyun, Bathe, Mark
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:en_US
Published: Oxford University Press 2014
Online Access:http://hdl.handle.net/1721.1/88694
https://orcid.org/0000-0002-6199-6855
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author Kilchherr, F.
Dietz, H.
Kim, Do-Nyun
Bathe, Mark
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Kilchherr, F.
Dietz, H.
Kim, Do-Nyun
Bathe, Mark
author_sort Kilchherr, F.
collection MIT
description DNA nanotechnology enables the programmed synthesis of intricate nanometer-scale structures for diverse applications in materials and biological science. Precise control over the 3D solution shape and mechanical flexibility of target designs is important to achieve desired functionality. Because experimental validation of designed nanostructures is time-consuming and cost-intensive, predictive physical models of nanostructure shape and flexibility have the capacity to enhance dramatically the design process. Here, we significantly extend and experimentally validate a computational modeling framework for DNA origami previously presented as CanDo [Castro,C.E., Kilchherr,F., Kim,D.-N., Shiao,E.L., Wauer,T., Wortmann,P., Bathe,M., Dietz,H. (2011) A primer to scaffolded DNA origami. Nat. Meth., 8, 221–229.]. 3D solution shape and flexibility are predicted from basepair connectivity maps now accounting for nicks in the DNA double helix, entropic elasticity of single-stranded DNA, and distant crossovers required to model wireframe structures, in addition to previous modeling (Castro,C.E., et al.) that accounted only for the canonical twist, bend and stretch stiffness of double-helical DNA domains. Systematic experimental validation of nanostructure flexibility mediated by internal crossover density probed using a 32-helix DNA bundle demonstrates for the first time that our model not only predicts the 3D solution shape of complex DNA nanostructures but also their mechanical flexibility. Thus, our model represents an important advance in the quantitative understanding of DNA-based nanostructure shape and flexibility, and we anticipate that this model will increase significantly the number and variety of synthetic nanostructures designed using nucleic acids.
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spelling mit-1721.1/886942022-09-29T12:29:43Z Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures Kilchherr, F. Dietz, H. Kim, Do-Nyun Bathe, Mark Massachusetts Institute of Technology. Department of Biological Engineering Kim, Do-Nyun Bathe, Mark DNA nanotechnology enables the programmed synthesis of intricate nanometer-scale structures for diverse applications in materials and biological science. Precise control over the 3D solution shape and mechanical flexibility of target designs is important to achieve desired functionality. Because experimental validation of designed nanostructures is time-consuming and cost-intensive, predictive physical models of nanostructure shape and flexibility have the capacity to enhance dramatically the design process. Here, we significantly extend and experimentally validate a computational modeling framework for DNA origami previously presented as CanDo [Castro,C.E., Kilchherr,F., Kim,D.-N., Shiao,E.L., Wauer,T., Wortmann,P., Bathe,M., Dietz,H. (2011) A primer to scaffolded DNA origami. Nat. Meth., 8, 221–229.]. 3D solution shape and flexibility are predicted from basepair connectivity maps now accounting for nicks in the DNA double helix, entropic elasticity of single-stranded DNA, and distant crossovers required to model wireframe structures, in addition to previous modeling (Castro,C.E., et al.) that accounted only for the canonical twist, bend and stretch stiffness of double-helical DNA domains. Systematic experimental validation of nanostructure flexibility mediated by internal crossover density probed using a 32-helix DNA bundle demonstrates for the first time that our model not only predicts the 3D solution shape of complex DNA nanostructures but also their mechanical flexibility. Thus, our model represents an important advance in the quantitative understanding of DNA-based nanostructure shape and flexibility, and we anticipate that this model will increase significantly the number and variety of synthetic nanostructures designed using nucleic acids. MIT Faculty Start-up Fund 2014-08-13T14:23:43Z 2014-08-13T14:23:43Z 2011-12 2011-11 Article http://purl.org/eprint/type/JournalArticle 0305-1048 1362-4962 http://hdl.handle.net/1721.1/88694 Kim, D.-N., F. Kilchherr, H. Dietz, and M. Bathe. “Quantitative Prediction of 3D Solution Shape and Flexibility of Nucleic Acid Nanostructures.” Nucleic Acids Research 40, no. 7 (April 1, 2012): 2862–2868. https://orcid.org/0000-0002-6199-6855 en_US http://dx.doi.org/10.1093/nar/gkr1173 Nucleic Acids Research Creative Commons Attribution Non-Commercial License http://creativecommons.org/licenses/by-nc/3.0 application/pdf Oxford University Press Nucleic Acids Research
spellingShingle Kilchherr, F.
Dietz, H.
Kim, Do-Nyun
Bathe, Mark
Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures
title Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures
title_full Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures
title_fullStr Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures
title_full_unstemmed Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures
title_short Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures
title_sort quantitative prediction of 3d solution shape and flexibility of nucleic acid nanostructures
url http://hdl.handle.net/1721.1/88694
https://orcid.org/0000-0002-6199-6855
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