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Nature, nurture, or chance: stochastic gene expression and its consequences
Arjun Raj1, Alexander van Oudenaarden
1Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cell
|October 30, 2008
Summary
Gene expression is inherently random, causing cell variations. This stochasticity impacts various biological processes from development to aging.
Area of Science:
- Molecular Biology
- Systems Biology
- Genetics
Background:
- Gene expression involves inherent randomness in transcription and translation.
- This stochasticity results in cell-to-cell variability in mRNA and protein levels.
- Such variations are observed across diverse organisms, from microbes to metazoans.
Purpose of the Study:
- To explore the fundamental nature of gene expression as a stochastic process.
- To understand how biophysical parameters and gene network structure influence expression variability.
- To investigate the functional consequences of stochastic gene expression in various biological contexts.
Main Methods:
- Analysis of stochastic processes in gene expression.
- Modeling of transcription and translation randomness.
- Examination of gene network structures and their impact on variability.
Main Results:
- Gene expression is fundamentally a stochastic process.
- Cell-to-cell variations in mRNA and protein levels arise from this randomness.
- The characteristics of this variation are influenced by biophysical parameters and gene network architecture.
Conclusions:
- Stochastic gene expression is a widespread phenomenon with significant implications.
- Understanding this variability is crucial for comprehending cellular functions.
- The study highlights the importance of randomness in biological systems, affecting processes like stress response, metabolism, development, and aging.
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