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Sealable Femtoliter Chamber Arrays for Cell-free Biology
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Engineering stochasticity in gene expression.

Jeffrey J Tabor1, Travis S Bayer, Zachary B Simpson

  • 1Center for Systems and Synthetic Biology and Institute for Cell and Molecular Biology, University of Texas, Austin, TX 78712, USA.

Molecular Biosystems
|June 20, 2008
PubMed
Summary
This summary is machine-generated.

Synthetic ribosome competing RNAs (rcRNAs) rationally perturb gene expression noise. Operons buffer this noise, offering a facile strategy for cellular noise control in synthetic biology.

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Area of Science:

  • Synthetic biology
  • Molecular biology
  • Systems biology

Background:

  • Stochastic fluctuations, or noise, in gene expression lead to phenotypic diversity in genetically identical cells.
  • Understanding noise sources and cellular reliability strategies is crucial for describing natural organisms and engineering synthetic systems.

Purpose of the Study:

  • To design synthetic constructs (ribosome competing RNAs or rcRNAs) to rationally perturb gene expression noise.
  • To investigate the role of operons in buffering gene expression noise.

Main Methods:

  • Design and implementation of synthetic ribosome competing RNA (rcRNA) constructs.
  • Quantification of gene expression noise in response to varying rcRNA expression levels.
  • Analysis of gene co-expression and noise buffering within natural operon structures.

Main Results:

  • Gene expression noise increased proportionally to the rcRNA's ability to compete for ribosomes.
  • Operons were shown to significantly buffer noise between coexpressed genes.
  • Operons reduced the noise amplification caused by rcRNA constructs.

Conclusions:

  • Synthetic genetic constructs, like rcRNAs, can significantly alter a cell's noise profile.
  • Operons represent a straightforward genetic strategy for buffering gene expression noise, crucial for both natural and synthetic biological systems.