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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
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Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response
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A mechanism for stochastic decision making by bacteria.

Zach Hensel1, Jie Xiao

  • 1Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Chembiochem : a European Journal of Chemical Biology
|March 19, 2009
PubMed
Summary

The lac operon

Area of Science:

  • Molecular Biology
  • Genetics
  • Biophysics

Background:

  • Gene expression regulation is fundamental to cellular function.
  • The lac operon serves as a classic model for inducible gene expression.
  • Understanding induction mechanisms is key to deciphering gene regulation.

Purpose of the Study:

  • To elucidate the underlying mechanism of lac operon induction.
  • To investigate the role of single lac-repressor molecules in gene expression.
  • To develop a stochastic model for gene induction.

Main Methods:

  • Single-molecule imaging of gene expression.
  • Single-cell induction measurements.
  • Stochastic modeling of gene regulation.

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Live Cell Imaging of Bacillus subtilis and Streptococcus pneumoniae using Automated Time-lapse Microscopy

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Last Updated: Jun 24, 2026

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Published on: May 23, 2020

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Main Results:

  • Lac operon expression exhibits an all-or-none phenomenon.
  • Single lac-repressor molecules play a critical role in the induction process.
  • A stochastic model was developed to describe lac operon induction.

Conclusions:

  • The study provides a novel stochastic model for lac operon induction.
  • Highlights the significant impact of individual molecular interactions on gene expression.
  • Offers insights into the all-or-none nature of gene regulation.