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Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
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Probabilistic switching circuits in DNA.

Daniel Wilhelm1, Jehoshua Bruck1,2, Lulu Qian3,4

  • 1Computation & Neural Systems, California Institute of Technology, Pasadena, CA 91125.

Proceedings of the National Academy of Sciences of the United States of America
|January 18, 2018
PubMed
Summary
This summary is machine-generated.

Researchers developed DNA circuits that control molecular information processing. These probabilistic switching circuits enable precise control over molecular events, offering a new approach to molecular computation.

Keywords:
DNA strand displacement circuitsdigital and analog computationmolecular programmingstochasticity

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Area of Science:

  • Molecular Systems Biology
  • Synthetic Biology
  • Biochemistry

Background:

  • Molecular systems exhibit inherent stochastic behavior, posing challenges for programming information processing.
  • Controlling stochastic states of individual molecular events is crucial for reliable molecular computation.

Purpose of the Study:

  • To systematically implement probabilistic switching circuits using DNA strand displacement reactions.
  • To develop a molecular building block for creating DNA circuits with tunable output probabilities.

Main Methods:

  • Utilized DNA strand displacement reactions to create an unbiased DNA switch.
  • Designed DNA circuits by combining these switches to achieve desired input-output signal probabilities.
  • Demonstrated multi-layered and feedback DNA circuits with variable probabilistic outputs.

Main Results:

  • Developed a simple, unbiased DNA switch releasing an output strand with 50% probability.
  • Engineered DNA circuits capable of converting input signals to output signals with any desired probability.
  • Showcased circuits with multiple layers and feedback, including one with eight distinct probabilities controlled by three DNA molecules.

Conclusions:

  • These DNA circuits combine digital and analog computation advantages, enabling precise control over molecular signals.
  • A small number of input molecules can control a wide range of output signals robustly.
  • Complex circuit behaviors can be implemented using a single molecular building block.