ArticleMolecular systems biology2010
Lysogen stability is determined by the frequency of activity bursts from the fate-determining gene.
Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
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- Quantifying cell fate change under different stochastic gene activation frameworks.Quantitative biology (Beijing, China) · 2025Article
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- Using bacterial population dynamics to count phages and their lysogens.Nature communications · 2024Article
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- Evolution of virulence in emerging epidemics: from theory to experimental evolution and back.Virus evolution · 2024Article
- One model fits all: Combining inference and simulation of gene regulatory networks.PLoS computational biology · 2023Article
- YdfD, a Lysis Protein of the Qin Prophage, Is a Specific Inhibitor of the IspG-Catalyzed Step in the MEP Pathway ofInternational journal of molecular sciences · 2022Article
- Evolution enhances mutational robustness and suppresses the emergence of a new phenotype: A new computational approach for studying evolution.PLoS computational biology · 2022Article
- Bacteriophage λ RexA and RexB functions assist the transition from lysogeny to lytic growth.Molecular microbiology · 2021Article
- Single-molecule imaging of LexA degradation in Escherichia coli elucidates regulatory mechanisms and heterogeneity of the SOS response.Nature microbiology · 2021Article
- From Bench to Keyboard and Back Again: A Brief History of Lambda Phage Modeling.Annual review of biophysics · 2021Review
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5 authors.
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Abstract
The ability of living cells to maintain an inheritable memory of their gene-expression state is key to cellular differentiation. Bacterial lysogeny serves as a simple paradigm for long-term cellular memory. In this study, we address the following question: in the absence of external perturbation, how long will a cell stay in the lysogenic state before spontaneously switching away from that state? We show by direct measurement that lysogen stability exhibits a simple exponential dependence on the frequency of activity bursts from the fate-determining gene, cI. We quantify these gene-activity bursts using single-molecule-resolution mRNA measurements in individual cells, analyzed using a stochastic mathematical model of the gene-network kinetics. The quantitative relation between stability and gene activity is independent of the fine details of gene regulation, suggesting that a quantitative prediction of cell-state stability may also be possible in more complex systems.
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