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Related Concept Videos

In Vivo CRISPR/Cas9 Screening to Simultaneously Evaluate Gene Function in Mouse Skin and Oral Cavity07:52

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Updated: Jan 14, 2026

In Vivo CRISPR/Cas9 Screening to Simultaneously Evaluate Gene Function in Mouse Skin and Oral Cavity
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Diverse and robust molecular algorithms using reprogrammable DNA self-assembly.

Damien Woods1,2,3, David Doty4,5, Cameron Myhrvold6,7

  • 1California Institute of Technology, Pasadena, CA, USA. damien.woods@mu.ie.

Nature
|March 22, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed a large DNA tile set enabling molecular self-assembly to execute complex algorithms. This breakthrough paves the way for programmable matter and advanced molecular machines.

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Related Experiment Videos

Last Updated: Jan 14, 2026

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Area of Science:

  • Molecular nanotechnology
  • Information-based chemistry
  • Algorithmic self-assembly

Background:

  • Molecular biology demonstrates chemical systems' capacity for information storage and processing.
  • Algorithmic behavior can be embedded in molecular self-assembly, experimentally shown with DNA nanotechnology.
  • A complexity threshold exists for information technologies, previously unaddressed in DNA self-assembly.

Purpose of the Study:

  • To investigate if DNA self-assembly can exceed the complexity threshold for programmable systems.
  • To design and validate a DNA tile set capable of executing diverse algorithms.

Main Methods:

  • Designed a DNA tile set comprising 355 single-stranded tiles.
  • Experimentally validated the tile set by reprogramming it to implement various 6-bit algorithms.
  • Constructed 21 distinct DNA circuits to execute algorithms with high fidelity.

Main Results:

  • Successfully reprogrammed the DNA tile set to implement a wide range of 6-bit algorithms.
  • Demonstrated execution of algorithms including copying, sorting, pattern generation, and computation.
  • Achieved a low per-tile error rate of less than 1 in 3,000.

Conclusions:

  • Molecular self-assembly can serve as a reliable component in programmable chemical systems.
  • The developed system suggests the feasibility of exceeding the complexity threshold in molecular computation.
  • Enables a new creative space for molecular programmers to develop advanced molecular machines.