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Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
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Using noise to probe and characterize gene circuits.

Chris D Cox1, James M McCollum, Michael S Allen

  • 1Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996-2010, USA. ccox9@utk.edu

Proceedings of the National Academy of Sciences of the United States of America
|August 2, 2008
PubMed
Summary

We introduce a noise regulatory vector to analyze gene circuit properties from molecular noise. This method uses noise autocorrelation to infer circuit structure and biokinetic rates, aiding in gene circuit analysis.

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Area of Science:

  • Systems Biology
  • Molecular Biology
  • Biophysics

Background:

  • Stochastic fluctuations, or noise, in molecular species within single cells are influenced by gene circuit architecture and kinetics.
  • The autocorrelation function of this noise characterizes its structure.

Purpose of the Study:

  • To introduce the noise regulatory vector, a novel framework for inferring gene circuit structure and biokinetic rates from noise autocorrelation.
  • To extend previous analyses by incorporating the correlation component of noise, not just its magnitude.

Main Methods:

  • Theoretical analysis of gene circuits.
  • Computational simulations of various gene circuit models.
  • Development and application of the noise regulatory vector framework.

Main Results:

  • The noise regulatory vector is shown to be characteristic of a gene circuit's composition.
  • The framework successfully infers circuit properties from noise autocorrelation functions.
  • The correlation component of noise provides significant information about the gene circuit.

Conclusions:

  • The noise regulatory vector offers a generalized approach to gene circuit analysis using noise properties.
  • While not uniquely identifying a circuit, it effectively suggests candidate circuits and rules out others.
  • Noise analysis, particularly using the noise regulatory vector, holds significant probative value in understanding gene circuits.