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Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics
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Tunable protease-activatable virus nanonodes.

Justin Judd1, Michelle L Ho, Abhinav Tiwari

  • 1Department of Bioengineering and ‡Department of Biochemistry and Cell Biology, Rice University , Houston, Texas 77005, United States.

ACS Nano
|May 7, 2014
PubMed
Summary
This summary is machine-generated.

Engineered adeno-associated viruses (AAV) act as signal-integrating nodes. These protease-activatable viruses (PAVs) can be programmed to require multiple protease signals for gene delivery activation, enabling digital logic functions.

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Nanotechnology

Background:

  • Adeno-associated virus (AAV) is a clinically validated vector for human gene therapy.
  • AAV's self-assembling protein capsid possesses unique signal integration capabilities.
  • Current gene delivery systems require enhanced control over vector activation.

Purpose of the Study:

  • To engineer AAV capsids for proteolytic regulation of infection.
  • To investigate the signal integration properties of engineered protease-activatable viruses (PAVs).
  • To demonstrate the potential for viruses to function as digital logic gates for gene delivery.

Main Methods:

  • Engineering AAV capsids for protease-dependent activation.
  • Characterizing the nonlinear transfer function of PAVs relating proteolysis to activity.
  • Constructing mosaic PAVs utilizing dynamic polyvalency and self-assembly for AND gate logic.

Main Results:

  • Engineered PAVs exhibit a highly nonlinear transfer function, indicating complex signal processing.
  • Dynamic polyvalency contributes to the nonlinear response of PAVs.
  • Mosaic PAVs successfully operated under a digital AND gate regime, requiring dual protease inputs for activation.

Conclusions:

  • Viruses can be engineered as sophisticated signal-integrating nanoscale nodes.
  • PAVs' functional properties can be precisely regulated by multiple proteolytic signals.
  • This represents a promising advancement for the precise control of gene delivery systems.