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Graded and binary responses in stochastic gene expression.

Rajesh Karmakar1, Indrani Bose

  • 1Department of Physics, Bose Institute, 93/1, Acharya Prafulla Chandra Road, Kolkata-700 009, India.

Physical Biology
|October 6, 2005
PubMed
Summary

Stochasticity, not just positive feedback, drives the binary gene expression response observed in cells. This random gene state switching explains the

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Biophysics

Background:

  • Gene expression (GE) can exhibit graded or binary responses to inducing signals.
  • Binary responses lead to bimodal protein distributions in cell populations.
  • Cellular bistability via positive feedback is a proposed cause for binary GE.

Purpose of the Study:

  • To investigate the role of stochasticity in generating binary gene expression.
  • To analyze a simple stochastic model of gene expression.
  • To differentiate the contributions of stochasticity versus feedback mechanisms.

Main Methods:

  • Development of a simple stochastic model for gene expression.
  • Analysis of gene state transitions (active/inactive).
  • Theoretical examination of response types based on state stability.

Main Results:

  • Stochasticity is identified as the exclusive origin of binary gene expression response.
  • Gene state transitions are inherently random.
  • Response type (graded vs. binary) depends on the relative stability of gene states versus mRNA/protein levels.

Conclusions:

  • Stochasticity alone can explain the binary 'all-or-none' gene expression phenomenon.
  • The model provides a theoretical basis for observed binary responses in eukaryotic systems.
  • Understanding stochasticity is crucial for comprehending gene expression dynamics.

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