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Related Experiment Videos

Tracking operator state fluctuations in gene expression in single cells.

B Banerjee1, S Balasubramanian, G Ananthakrishna

  • 1National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India.

Biophysical Journal
|April 28, 2004
PubMed
Summary

Bacterial gene expression fluctuates during the cell cycle. Unregulated circuits show protein distribution changes, while negative-feedback circuits exhibit bimodality, potentially aiding cell identity and development.

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Genetics

Background:

  • Gene expression is crucial for bacterial cell function and development.
  • Understanding operator state fluctuations provides insights into cellular regulation.
  • Single-cell analysis is key to observing heterogeneity in gene expression.

Purpose of the Study:

  • To investigate operator state fluctuations in gene expression throughout the bacterial cell cycle.
  • To analyze differences between unregulated and negative-feedback gene circuits.
  • To explore the implications of observed expression patterns for cell fate decisions.

Main Methods:

  • Utilized single-cell analysis techniques.
  • Employed synthetic unregulated transcription regulatory gene circuits.

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  • Developed synthetic negative-feedback transcription regulatory gene circuits.

    • Main Results:

    • Observed a shift from log-normal to normal distribution of expressed proteins in unregulated circuits during the cell cycle.
    • Identified a linear relationship between standard deviation and mean expression levels in unregulated circuits.
    • Detected bimodality in gene expression for negative-feedback circuits as the cell cycle progressed.

    Conclusions:

    • Gene expression distributions change dynamically throughout the bacterial cell cycle.
    • Negative-feedback circuits can generate bimodal expression patterns.
    • Long-tail and bimodal distributions may serve as selection mechanisms for developmental switches and cell identity assignment.