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Noise-based switches and amplifiers for gene expression.

J Hasty1, J Pradines, M Dolnik

  • 1Center for BioDynamics, Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, MA 02215, USA. hasty@bu.edu

Proceedings of the National Academy of Sciences of the United States of America
|February 19, 2000
PubMed
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External noise can control gene expression networks. This study models gene regulation, showing noise can switch protein production on/off and amplify gene expression, with potential gene therapy applications.

Area of Science:

  • Systems Biology
  • Molecular Biology
  • Biophysics

Background:

  • Cellular function is regulated by gene transcription networks.
  • Gene products can control their own expression or influence other networks.
  • Engineered control of cellular networks is technologically feasible.

Purpose of the Study:

  • To develop a model for gene expression regulation.
  • To investigate the effects of external noise on gene expression.
  • To explore noise as a tool for controlling gene expression.

Main Methods:

  • Developed a two-parameter deterministic model for bacteriophage lambda repressor protein concentration.
  • Analyzed bistability in steady-state protein concentration.
  • Investigated the impact of additive and multiplicative external noise on gene expression.

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Main Results:

  • Bistability in protein concentration arises naturally and is enhanced by operator sites.
  • Additive noise can create a protein switch, turning production on and off with pulses.
  • Multiplicative noise amplifies protein production through fluctuations in transcription rate.

Conclusions:

  • External noise can serve as a switch and amplifier for gene expression.
  • Noise-driven gene expression control has potential implications for gene therapy.
  • This work provides a framework for understanding and engineering gene regulatory networks using noise.