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Related Experiment Video

Updated: Jul 13, 2026

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
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Quantifying noise levels of intercellular signals.

Kai Wang1, Wouter-Jan Rappel, Rex Kerr

  • 1Center for Theoretical Biological Physics, University of California San Diego, La Jolla, California 92093-0319, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 7, 2007
PubMed
Summary

Cells use multiple receptors to average signals, reducing noise. More receptors lead to near-zero noise but longer signal correlation times, impacting processes like eukaryotic chemotaxis.

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Area of Science:

  • Cellular biology
  • Biophysics
  • Signal transduction

Background:

  • Cells sense their environment using cell surface receptors that bind diffusible chemical signals.
  • Individual receptor binding events are stochastic, introducing noise into signal detection.
  • Cells possess numerous receptors, enabling signal averaging to potentially reduce variability.

Purpose of the Study:

  • To investigate the relationship between the number of cell surface receptors and signal noise levels.
  • To characterize the impact of receptor number on signal correlation time.
  • To understand the implications for cellular processes like eukaryotic chemotaxis.

Main Methods:

  • Explicit Monte Carlo simulations were employed to model receptor-ligand interactions.

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  • Analytical calculations were performed to derive theoretical noise levels and correlation times.
  • The study analyzed noise and correlation time as functions of the total number of receptors.
  • Main Results:

    • The residual noise level was shown to approach zero as the number of receptors increases.
    • The correlation time, representing the time for statistically independent data, was found to diverge for large receptor numbers.
    • These findings quantify the trade-off between noise reduction and signal responsiveness.

    Conclusions:

    • Increasing receptor numbers effectively reduces stochastic noise in signal detection.
    • Diverging correlation times at high receptor numbers suggest slower adaptation or memory effects.
    • The study provides critical insights into the biophysical mechanisms underlying cellular sensing, particularly eukaryotic chemotaxis.