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Engineering Transcriptional Regulator Effector Specificity Using Computational Design and In Vitro Rapid Prototyping:

Emmanuel L C de los Santos1, Joseph T Meyerowitz1, Stephen L Mayo1

  • 1Division of Biology and Biological Engineering, California Institute of Technology , Pasadena, California 91125, United States.

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|August 12, 2015
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Summary

Synthetic biology needs new regulatory tools. Researchers engineered vanillin-responsive repressors using computational design and cell-free screening, creating a framework for novel biosensor development.

Keywords:
TX-TLcell-free systemscomputational protein designin vitro biological circuit prototypingprotein engineeringsynthetic biology

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Area of Science:

  • Synthetic biology
  • Protein engineering
  • Metabolic engineering

Background:

  • Developing robust genetic circuits requires advanced regulatory tools for dynamic control.
  • Feedback mechanisms responding to environmental signals and toxic intermediates are crucial for synthetic biology applications.

Purpose of the Study:

  • To engineer novel regulatory tools for synthetic biology by designing repressors responsive to vanillin.
  • To establish a computational design and cell-free screening framework for creating new biosensors.

Main Methods:

  • Computational protein design was used to generate variants of the qacR repressor.
  • Variants were screened in a cell-free transcription-translation (TX-TL) system for vanillin responsiveness.
  • Promising mutants were further characterized in vitro and in vivo.

Main Results:

  • Two qacR mutants demonstrating responsiveness to vanillin were identified.
  • These mutants function both in vitro and in vivo within a gene circuit.
  • Mutants showed some cellular toxicity, indicating potential off-target effects.

Conclusions:

  • The developed computational design and in vitro screening process is effective for creating vanillin-responsive repressors.
  • These engineered repressors serve as starting points for directed evolution of vanillin sensors.
  • This methodology provides a framework for designing sensors for diverse target molecules in synthetic biology.