Complex shapes self-assembled from single-stranded DNA tiles

By Bryan Wei, Mingjie Dai, Peng Yin. Nature, 2012

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Programmed self-assembly of strands of nucleic acid has proved highly effective for creating a wide range of structures with desired shapes. A particularly successful implementation is DNA origami, in which a long scaffold strand is folded by hundreds of short auxiliary strands into a complex shape. Modular strategies are in principle simpler and more versatile and have been used to assemble DNA or RNA tiles into periodic and algorithmic two-dimensional lattices, extended ribbons and tubes, three-dimensional crystals, polyhedra and simple finite two-dimensional shapes. But creating finite yet complex shapes from a large number of uniquely addressable tiles remains challenging. Here we solve this problem with the simplest tile form, a ‘single-stranded tile’ (SST) that consists of a 42-base strand of DNA composed entirely of concatenated sticky ends and that binds to four local neighbours during self-assembly. Although ribbons and tubes with controlled circumferences have been created using the SST approach, we extend it to assemble complex two-dimensional shapes and tubes from hundreds (in some cases more than one thousand) distinct tiles. Our main design feature is a self-assembled rectangle that serves as a molecular canvas, with each of its constituent SST strands—folded into a 3 nm-by-7 nm tile and attached to four neighbouring tiles—acting as a pixel. A desired shape, drawn on the canvas, is then produced by one-pot annealing of all those strands that correspond to pixels covered by the target shape; the remaining strands are excluded. We implement the strategy with a master strand collection that corresponds to a 310-pixel canvas, and then use appropriate strand subsets to construct 107 distinct and complex two-dimensional shapes, thereby establishing SST assembly as a simple, modular and robust framework for constructing nanostructures with prescribed shapes from short synthetic DNA strands.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/21f31a350da6594a91f2895c7fa4638874aba5a3

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In Ecology

  1. Chad A. Mirkin
  2. Matthew R. Jones
  3. Nadrian C. Seeman
  4. Peixuan Guo

In Molecular Biology

  1. Matthew R. Jones
  2. Chad A. Mirkin
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  5. P. K. Dutta
  6. Yonggang Ke
  7. Pengfei Wang
  8. Victor Pan

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