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Updated: Mar 25, 2026

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
Published on: April 27, 2021
Transient amplification limits noise suppression in biochemical networks.
John Dixon1, Anika Lindemann1, Jonathan H McCoy1
1Department of Physics and Astronomy, Colby College, Waterville, Maine 04901, USA.
Biochemical networks amplify small fluctuations due to their design, not suppress them. This transient amplification, even in simple systems, sets baseline noise levels in cells, impacting cell physiology.
Area of Science:
- Biophysics
- Systems Biology
- Biochemistry
Background:
- Cell physiology relies on complex biochemical reaction networks.
- Random fluctuations (noise) propagate through these networks, impacting cell behavior.
- Understanding how network design influences noise suppression or exploitation is crucial.
Purpose of the Study:
- To explore how network connectivity influences the suppression or amplification of small fluctuations in biochemical systems.
- To investigate the role of transient amplification in limiting a system's ability to suppress noise.
Main Methods:
- Utilized insights from statistical physics, fluid dynamics, and systems biology.
- Analyzed biochemical systems with varying numbers of variables and interactions.
- Compared noise amplification levels with predictions from linear stability theory.
Main Results:
- Even simple two-variable systems exhibit significant transient amplification of small fluctuations.
- Additional interactions can increase amplification, even those designed to suppress noise.
- Transient amplification is an emergent phenomenon near steady states in networks with strong interactions.
Conclusions:
- Transient amplification inherently limits the ability of biochemical networks to suppress small fluctuations.
- This phenomenon is a fundamental factor determining baseline noise levels in intracellular networks.
- Noise amplification is a general property of stable intracellular networks, independent of specific mechanisms or functions.
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