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      DNA nanostructures as templates for biomineralization

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      Nature Reviews Chemistry
      Springer Science and Business Media LLC

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          Metal-organic frameworks (MOFs).

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            Controlled growth of monodisperse silica spheres in the micron size range

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              Self-assembly of DNA into nanoscale three-dimensional shapes

              Molecular self-assembly offers a ‘bottom-up’ route to fabrication with subnanometre precision of complex structures from simple components1. DNA has proven a versatile building block2–5 for programmable construction of such objects, including two-dimensional crystals6, nanotubes7–11, and three-dimensional wireframe nanopolyhedra12–17. Templated self-assembly of DNA18 into custom two-dimensional shapes on the megadalton scale has been demonstrated previously with a multiple-kilobase ‘scaffold strand’ that is folded into a flat array of antiparallel helices by interactions with hundreds of oligonucleotide ‘staple strands’19, 20. Here we extend this method to building custom three-dimensional shapes formed as pleated layers of helices constrained to a honeycomb lattice. We demonstrate the design and assembly of nanostructures approximating six shapes — monolith, square nut, railed bridge, genie bottle, stacked cross, slotted cross — with precisely controlled dimensions ranging from 10 to 100 nm. We also show hierarchical assembly of structures such as homomultimeric linear tracks and of heterotrimeric wireframe icosahedra. Proper assembly requires week-long folding times and calibrated monovalent and divalent cation concentrations. We anticipate that our strategy for self-assembling custom three-dimensional shapes will provide a general route to the manufacture of sophisticated devices bearing features on the nanometer scale.
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                Author and article information

                Contributors
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                Journal
                Nature Reviews Chemistry
                Nat Rev Chem
                Springer Science and Business Media LLC
                2397-3358
                February 2021
                January 13 2021
                : 5
                : 2
                : 93-108
                Article
                10.1038/s41570-020-00242-5
                37117611
                f8122967-4ca0-4002-86f0-4b136920d0df
                © 2021

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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