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Literature DB >> 17890398

A pathway and genetic factors contributing to elevated gene expression noise in stationary phase.

Nicholas J Guido¹, Philina Lee, Xiao Wang, Timothy C Elston, J J Collins.

Abstract

Previous studies have identified factors associated with transcription and translation efficiency, such as promoter strength and mRNA sequences, that can affect stochasticity in gene expression. Here we present evidence for a pathway and associated genetic factors (namely, the ribosome modulation factor RMF and ppGpp) in Escherichia coli that contribute to heightened levels of gene expression noise during stationary phase. Endogenous cellular mechanisms that globally affect gene expression noise, such as those identified in this study, could provide phenotypic diversity under adverse conditions such as stationary phase.

Entities: Gene Species

Mesh：

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Year: 2007 PMID： 17890398 PMCID： PMC2084246 DOI： 10.1529/biophysj.107.118687

Source DB: PubMed Journal: Biophys J ISSN： 0006-3495 Impact factor: 4.033

17 in total

A pathway and genetic factors contributing to elevated gene expression noise in stationary phase.

1. Mutations enhancing amino acid catabolism confer a growth advantage in stationary phase.

2. A synthetic oscillatory network of transcriptional regulators.

3. Intrinsic noise in gene regulatory networks.

4. Expression of ribosome modulation factor (RMF) in Escherichia coli requires ppGpp.

5. Regulation of noise in the expression of a single gene.

6. Summing up the noise in gene networks.

7. Prediction and measurement of an autoregulatory genetic module.

Review 8. Adaptive mutation and amplification in Escherichia coli: two pathways of genome adaptation under stress.

9. Phenotypic consequences of promoter-mediated transcriptional noise.

10. Stress-induced mutagenesis in bacteria.

1. Interplay between intrinsic noise and the stochasticity of the cell cycle in bacterial colonies.

2. A synthetic genetic edge detection program.

3. Heterogeneity of Stop Codon Readthrough in Single Bacterial Cells and Implications for Population Fitness.

Review 4. Build to understand: synthetic approaches to biology.

5. Phenotypic impact of regulatory noise in cellular stress-response pathways.

6. Engineering stochasticity in gene expression.

7. Tuning and controlling gene expression noise in synthetic gene networks.

8. Transcription factor levels enable metabolic diversification of single cells of environmental bacteria.

9. Nonoptimal microbial response to antibiotics underlies suppressive drug interactions.

10. Invariant distribution of promoter activities in Escherichia coli.