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Updated: Jun 18, 2026
09:13
Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
Published on: January 13, 2016
Probing noise in gene expression and protein production
Sandro Azaele1, Jayanth R Banavar, Amos Maritan
1Department of Civil and Environmental Engineering, E-Quad, Princeton University, Princeton, New Jersey 08544, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2009
Summary
This study presents exact solutions for protein concentration dynamics in cell populations, revealing how gene expression noise impacts these models. Monitoring these dynamics helps understand transcription phases.
Area of Science:
- Systems Biology
- Molecular Biology
- Biophysics
Background:
- Understanding cellular protein concentration dynamics is crucial for deciphering gene expression.
- Gene expression is inherently noisy, posing challenges for accurate modeling.
- The stationary state offers limited insight into dynamic cellular processes.
Purpose of the Study:
- Derive exact solutions for temporal protein concentration evolution.
- Investigate the role of noise in gene expression modeling.
- Introduce a novel measure to probe transcription phases.
Main Methods:
- Exact solutions for simplified models of protein concentration.
- Analysis of temporal dynamics far from the stationary state.
- Calculation of the dispersion (variance to mean ratio).
Main Results:
- Exact solutions for protein concentration dynamics were obtained.
- Monitoring dynamics aids in modeling and understanding gene expression noise.
- The fractional protein distribution was introduced as a new analytical tool.
Conclusions:
- The derived solutions provide a framework for studying non-stationary cellular processes.
- Gene expression noise can be effectively modeled by analyzing temporal dynamics.
- The fractional protein distribution offers a method to probe DNA transcription phases.
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