Role of Active Transport of Inducer in Enzyme Biosynthesis and Process Scale-Up

Vieth, W. R.; Kaushik, Krishna; Venκatasubramanian, Κ.

doi:10.1007/978-1-4615-9290-7_4

Cited by 3 publications

(1 citation statement)

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“…Several subsequent models (20)(21)(22)(23)(24) utilized the reaction scheme by Yagil and Yagil (19) to model induction and catabolite repression in the case of multiple substrates, in different growth environments, or by taking into account membrane transport. In two milestone articles, Lee and Bailey (25,26) derived a detailed model that enabled them to investigate replication dynamics and polyploidity effects, and their coupling to the induction-repression mechanisms, transcription and translation.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Deterministic and Stochastic Models of the lac Operon Genetic Network

Stamatakis

Mantzaris

2009

Biophysical Journal

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The lac operon has been a paradigm for genetic regulation with positive feedback, and several modeling studies have described its dynamics at various levels of detail. However, it has not yet been analyzed how stochasticity can enrich the system's behavior, creating effects that are not observed in the deterministic case. To address this problem we use a comparative approach. We develop a reaction network for the dynamics of the lac operon genetic switch and derive corresponding deterministic and stochastic models that incorporate biological details. We then analyze the effects of key biomolecular mechanisms, such as promoter strength and binding affinities, on the behavior of the models. No assumptions or approximations are made when building the models other than those utilized in the reaction network. Thus, we are able to carry out a meaningful comparison between the predictions of the two models to demonstrate genuine effects of stochasticity. Such a comparison reveals that in the presence of stochasticity, certain biomolecular mechanisms can profoundly influence the region where the system exhibits bistability, a key characteristic of the lac operon dynamics. For these cases, the temporal asymptotic behavior of the deterministic model remains unchanged, indicating a role of stochasticity in modulating the behavior of the system.

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Section: Introductionmentioning

confidence: 99%

Comparison of Deterministic and Stochastic Models of the lac Operon Genetic Network

Stamatakis

Mantzaris

2009

Biophysical Journal

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Regulation of lac operon expression in mixed sugar chemostat cultures

Ray

Vieth

Venκatasubramanian

1987

Biotech & Bioengineering

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Expression of the lactose (lac) operon in the Escherichia coli chromosome has been studied in mixed-sugar chemostat cultures under steady-state and transient conditions. A unified model has been formulated which involves regulation of active inducer (lactose) transport, promoter-operator regulated expression of the lac operon, glucose-mediated inducer exclusion, and catabolite repression. The model of the lac operon control system focuses on the molecular interactions among the regulatory species and the genetic control elements for the initiation of transcription. The role of catabolite modulator factor (CMF) in the regulation of transcription is described. The modeling of glucose-mediated regulation of intracellular cyclic adenosine monophosphate (cAMP) and inducer exclusion is based on the recently elucidated mechanisms of the involvement of the PTS (phosphoen-olpyruvate dependent sugar transport system) enzymes, in the presence of glucose, in regulation of adenylate cyclase and non-PTS sugar transport proteins (i.e. per-meases). The adequacy of the unified model was verified with experimental data.

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Active Inducer Transport and Regulation of Microbial Enzyme Biosynthesis in Chemostat Cultures^a

Ray

Vieth

Venκatasubramanian

1986

Annals of the New York Academy of Sciences

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Role of Active Transport of Inducer in Enzyme Biosynthesis and Process Scale-Up

Cited by 3 publications

References 10 publications

Comparison of Deterministic and Stochastic Models of the lac Operon Genetic Network

Comparison of Deterministic and Stochastic Models of the lac Operon Genetic Network

Regulation of lac operon expression in mixed sugar chemostat cultures

Active Inducer Transport and Regulation of Microbial Enzyme Biosynthesis in Chemostat Cultures^a

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Role of Active Transport of Inducer in Enzyme Biosynthesis and Process Scale-Up

Cited by 3 publications

References 10 publications

Comparison of Deterministic and Stochastic Models of the lac Operon Genetic Network

Comparison of Deterministic and Stochastic Models of the lac Operon Genetic Network

Regulation of lac operon expression in mixed sugar chemostat cultures

Active Inducer Transport and Regulation of Microbial Enzyme Biosynthesis in Chemostat Culturesa

Contact Info

Product

Resources

About

Active Inducer Transport and Regulation of Microbial Enzyme Biosynthesis in Chemostat Cultures^a