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Model-driven engineering of gene expression from RNA replicons.

Jacob Beal1, Tyler E Wagner, Tasuku Kitada

  • 1Raytheon BBN Technologies, Cambridge, Massachusetts United States.

ACS Synthetic Biology
|June 1, 2014
PubMed
Summary

This study introduces a computational model for precise multigene expression using RNA replicons. The model enables predictable protein expression from multiple replicon systems, advancing synthetic biology applications.

Keywords:
SindbisTASBE characterizationalphaviruscircuit predictionexpression controlflow cytometryquantitative modelingreplicon

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Area of Science:

  • Synthetic biology
  • Molecular and cellular biology
  • Biotechnology

Background:

  • RNA replicons offer self-amplification and high protein expression without chromosomal integration risks.
  • Existing systems lack quantitative models for engineering precise protein expression levels.

Purpose of the Study:

  • To develop a computational model for engineering multigene expression from multiple RNA replicon species.
  • To enable precise control over protein expression levels in synthetic biological systems.

Main Methods:

  • Studied fluorescent protein expression dynamics in baby hamster kidney (BHK-21) cells using Sindbis virus (SINV) derived replicons.
  • Characterized single- and dual-replicon expression kinetics over 50 hours.
  • Derived and validated a quantitative model using three-replicon systems.

Main Results:

  • Developed a quantitative model for multireplicon expression dynamics.
  • Validated the model by designing three-replicon systems with desired expression profiles.
  • Achieved high accuracy (1.7-fold mean error over a 1000-fold range) in controlling expression levels.

Conclusions:

  • The developed model enables precise, predictable control of protein expression from multiple RNA replicons.
  • This quantitative framework is crucial for advancing the engineering of complex synthetic biological systems.
  • Facilitates the design of multigene expression systems with tailored protein output.