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Related Experiment Videos

Designer gene networks: Towards fundamental cellular control.

Jeff Hasty1, Farren Isaacs, Milos Dolnik

  • 1Center for BioDynamics and Department of Biomedical Engineering, Boston University, 44 Cummington St., Boston, Massachusetts 02215.

Chaos (Woodbury, N.Y.)
|June 5, 2003
PubMed
Summary

Synthetic gene networks offer control over cellular functions. Model analysis guides the design of genetic switches and oscillators, enabling precise control and signal amplification in biological systems.

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Area of Science:

  • Synthetic biology
  • Genetic engineering
  • Systems biology

Background:

  • Engineered control of cellular function via synthetic genetic networks is emerging.
  • Naturally occurring networks serve as blueprints for artificial designs.
  • Model formulation is key for computational and analytical approaches in nonlinear dynamics and statistical physics.

Purpose of the Study:

  • To review synthetic gene networks, focusing on genetic switches and oscillators.
  • To derive a deterministic model for single-gene networks and analyze bistability and hysteresis.
  • To demonstrate the utility of model analysis in designing synthetic gene regulatory networks.

Main Methods:

  • Derivation of a deterministic model for protein concentration in single-gene networks.

Related Experiment Videos

  • Formulation of external noise effects on protein degradation rates.
  • Construction of synthetic networks including switches, relaxation oscillators, and toggle switches.

    • Main Results:

    • Bistability and hysteresis observed in protein concentration due to autoregulatory feedback.
    • External noise pulses used to switch protein concentration.
    • Relaxation oscillators constructed, with frequency dependence on tunable parameters.
    • Resonance induces oscillations and signal amplification in synthetic networks.
    • Comparison of switching properties between positive and negative regulatory element networks.

    Conclusions:

    • Model analysis is crucial for designing synthetic gene regulatory networks.
    • Synthetic networks can be engineered for precise cellular control, including switching and oscillation.
    • The study highlights design criteria for robust oscillations and signal amplification.