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Terminating DNA Tile Assembly with Nanostructured Caps.

Deepak K Agrawal1, Ruoyu Jiang1, Seth Reinhart1

  • 1Chemical and Biomolecular Engineering, Johns Hopkins University , Baltimore, Maryland 21218, United States.

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|September 14, 2017
PubMed
Summary
This summary is machine-generated.

Researchers developed DNA tile self-assembly principles to control biomolecular assembly growth. Specific nanostructures can terminate nanotube growth, enabling precise control over complex product formation and dynamic assembly processes.

Keywords:
DNA nanotubesDNA origamicappinggrowthhierarchical self-assemblynanotubesnucleationself-assembly

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Area of Science:

  • Biomolecular Engineering
  • Nanotechnology
  • Materials Science

Background:

  • Controlling self-assembly is crucial for product yield and dynamics.
  • Programmatic control over nucleation, growth, and termination is needed for complex assembly.
  • DNA tile self-assembly offers a platform for programmable molecular construction.

Purpose of the Study:

  • To establish design principles for nanostructures that control DNA tile self-assembly.
  • To investigate how DNA origami nanostructures interact with growing DNA tile nanotubes.
  • To develop methods for programmatically terminating nanotube growth.

Main Methods:

  • Systematic characterization of DNA origami nanostructure interactions with DNA tile nanotube ends.
  • Design and testing of nanostructures with specific binding interfaces.
  • Analysis of nucleation and termination behaviors.

Main Results:

  • Nanostructures presenting complete binding interfaces for growing facets selectively bind and terminate nanotube growth.
  • Rigid or flexible scaffolds can present these terminating interfaces.
  • Nanotube nucleation requires specific binding site arrangements matching facet geometry.

Conclusions:

  • Design principles for terminating one-dimensional nanostructure growth were established.
  • It is possible to create nanostructures that terminate growth without initiating it.
  • These principles can guide programmatic control of 2D and 3D crystallization processes.