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Related Experiment Video

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Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

Noise management by molecular networks.

Frank J Bruggeman1, Nils Blüthgen, Hans V Westerhoff

  • 1Regulatory Networks Group, Netherlands Institute for Systems Biology, Amsterdam, The Netherlands. frank.bruggeman@sysbio.nl

Plos Computational Biology
|September 19, 2009
PubMed
Summary
This summary is machine-generated.

Molecular noise, or fluctuations in molecule numbers, causes cell differences. This study presents a theory explaining how cellular networks manage this noise, revealing principles for controlling cell-to-cell variability.

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Area of Science:

  • Systems Biology
  • Molecular Systems Biology
  • Cellular Heterogeneity

Background:

  • Cellular processes are subject to random fluctuations in molecule numbers, known as molecular noise.
  • This noise can lead to significant physiological heterogeneity within populations of genetically identical cells.
  • Understanding how cells manage molecular noise is crucial for comprehending cellular function and variability.

Purpose of the Study:

  • To develop a theoretical framework for analyzing noise management by molecular networks in living cells.
  • To elucidate the principles governing how network structure influences molecular noise.
  • To provide intuitive equations for quantifying noise and its impact on physiological heterogeneity.

Main Methods:

  • Developed a theoretical framework leveraging the hierarchical organization of molecular networks.
  • Analyzed noise management principles in ultrasensitive systems, signaling cascades, gene networks, and feedback circuits.
  • Derived mathematical equations to describe noise in molecule copy numbers.
  • Utilized theory and simulations to investigate the effects of negative feedback on noise.

Main Results:

  • Demonstrated that molecular network structure dictates noise management strategies.
  • Identified principles for noise control in various network motifs.
  • Derived simple equations linking molecular noise to physiological heterogeneity.
  • Showed that noise levels and signal sensitivity can often be independently controlled.
  • Revealed that negative feedback can both reduce and amplify noise, with a trade-off in noise propagation.

Conclusions:

  • Molecular networks possess inherent mechanisms for managing intrinsic cellular noise.
  • Network architecture plays a critical role in determining the extent and nature of noise management.
  • Negative feedback loops exhibit complex effects on noise, potentially increasing it in certain molecular intermediates.
  • The study provides a foundational understanding of noise regulation, essential for fields like synthetic biology and disease research.