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Updated: Jun 13, 2026

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells
Published on: July 6, 2021
Counter-intuitive stochastic behavior of simple gene circuits with negative feedback
Tatiana T Marquez-Lago1, Jörg Stelling
1Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland. tatiana.marquez@bsse.ethz.ch
Negative feedback loops in gene regulation can surprisingly increase system noise. Model assumptions, like the quasi-steady-state assumption, significantly impact noise levels, challenging previous understandings of gene regulation homeostasis.
Area of Science:
- Systems Biology
- Molecular Biology
- Theoretical Biology
Background:
- Negative feedback loops are traditionally viewed as homeostatic mechanisms in gene regulation.
- Recent theoretical work suggests an counter-intuitive relationship between feedback strength and noise levels.
Purpose of the Study:
- To systematically analyze minimal gene regulation models with negative feedback.
- To investigate how model assumptions influence the relationship between feedback strength and noise.
Main Methods:
- Analysis of minimal gene regulatory models with transcriptional repressors.
- Inclusion and exclusion of quasi-steady-state assumptions.
- Examination of processes like RNA polymerase binding and repressor dimerization.
Main Results:
- Models with quasi-steady-state assumptions show noise buffering (RNA polymerase binding) or accentuation (repressor dimerization) with increased feedback.
- Simplified models underestimating transcription and translation impact noise.
- Models without quasi-steady-state assumptions consistently show increased noise with feedback.
Conclusions:
- Model assumptions and mathematical properties critically determine noise profiles in gene regulation.
- Previous conflicting findings on feedback and noise are explained by differing model simplifications.
- New approaches to characterizing noise in gene regulatory systems are proposed.
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