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Self-assembly of Complex Two-dimensional Shapes from Single-stranded DNA Tiles
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Toward reliable algorithmic self-assembly of DNA tiles: a fixed-width cellular automaton pattern.

Kenichi Fujibayashi1, Rizal Hariadi, Sung Ha Park

  • 1Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Midori-ku, Yokohama 226-8502, Japan.

Nano Letters
|December 29, 2007
PubMed
Summary

This study demonstrates programmable molecular self-assembly using DNA tiles and DNA origami to create complex nanoscale crystals. These findings suggest one-pot reactions can yield intricate structures with high precision.

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Area of Science:

  • Nanotechnology
  • Molecular Biology
  • Materials Science

Background:

  • Bottom-up fabrication of nanoscale structures relies on self-assembly guided by chemical processes.
  • The complexity and precision of one-pot reactions are constrained by the ability to encode assembly instructions within molecules.
  • Nucleic acids offer a versatile platform for encoding molecular self-assembly rules.

Purpose of the Study:

  • To investigate the potential of DNA-based molecular self-assembly for creating complex nanoscale structures in a one-pot reaction.
  • To demonstrate the algorithmic growth of crystals using DNA tiles and DNA origami.
  • To encode cellular automaton rules into DNA molecules for directed crystal growth.

Main Methods:

  • Utilized DNA tiles and DNA origami for nanoscale crystal fabrication.
  • Employed a one-pot annealing reaction involving 250 DNA strands.
  • Designed a system where DNA strands self-assemble into free tile types and a seed structure.
  • Implemented algorithmic growth of crystals from a seed based on cellular automaton rules.

Main Results:

  • Successfully grew crystals approximately 300 nm in length, comprising around 300 DNA tiles.
  • Achieved an initial assembly error rate of approximately 1.4% per tile.
  • Demonstrated the formation of a cellular automaton pattern within the self-assembled DNA crystals.

Conclusions:

  • Programmable molecular self-assembly using DNA is sufficient for creating complex objects in one-pot reactions.
  • This approach enables the encoding of algorithmic growth rules into molecular systems.
  • Highlights the potential for designing intricate nanoscale architectures with high precision and yield.