Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
Upstream Processing01:27

Upstream Processing

Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
Designing Growth Media for Bioreactors01:30

Designing Growth Media for Bioreactors

Growth media provide essential nutrients that support cell growth and metabolism, thereby enhancing the yield of valuable products such as enzymes, antibiotics, and biomass. Designing an effective growth medium involves balancing all components to prevent nutrient limitations or toxic excesses, both of which can impair growth and reduce product yields.Composition of a Typical Growth MediumA typical growth medium contains carbon and nitrogen sources, salts, vitamins, trace elements, and...
Scale-Up Processes01:14

Scale-Up Processes

The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
Bioreactor Controls-II01:18

Bioreactor Controls-II

In aerobic fermentations, oxygen is vital for microbial growth and metabolite production. Since air comprises only about 20% oxygen and the gas is poorly soluble in water—just 9 ppm at 20°C—supplying sufficient oxygen becomes a critical challenge, especially in high-demand processes like yeast growth or citric acid production. Even a fully saturated broth may offer only a few seconds of oxygen availability.To address this, sterile or scrubbed air is introduced into the fermentor via a sparger...
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy.

FEBS letters·2026
Same author

Patient-specific modeling identifies metabolic interventions for reversing glucose use reprogramming in alcohol-associated hepatitis.

Communications biology·2026
Same author

Enabling Plasmid-Based Expression in <i>Clostridium kluyveri</i> Using a Biparental Methylation-Conjugation System.

ACS synthetic biology·2026
Same author

Multicriteria evaluation of ethylene glycol assimilation pathways.

Journal of industrial microbiology & biotechnology·2026
Same author

Membrane and proteome allocation constraints in Escherichia coli models during overflow metabolism.

Biophysical journal·2026
Same author

Improving a photosynthetic bioprocess with a ubiquitous additive: Using clay powder in the cultivation of <i>Rhodopseudomonas palustris</i>.

Biotechnology reports (Amsterdam, Netherlands)·2025

Related Experiment Video

Updated: Jul 3, 2026

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Dynamic metabolic engineering for increasing bioprocess productivity.

Nikolaos Anesiadis1, William R Cluett, Radhakrishnan Mahadevan

  • 1Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ont., Canada M5S3E5.

Metabolic Engineering
|July 9, 2008
PubMed
Summary
This summary is machine-generated.

Metabolic engineering aims to boost metabolite production but often impairs growth. This study demonstrates that dynamic control of metabolic fluxes using a genetic toggle switch in Escherichia coli significantly enhances bioprocess productivity.

More Related Videos

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
09:28

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

Immobilization of Multi-biocatalysts in Alginate Beads for Cofactor Regeneration and Improved Reusability
09:27

Immobilization of Multi-biocatalysts in Alginate Beads for Cofactor Regeneration and Improved Reusability

Published on: April 22, 2016

Related Experiment Videos

Last Updated: Jul 3, 2026

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
09:28

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

Immobilization of Multi-biocatalysts in Alginate Beads for Cofactor Regeneration and Improved Reusability
09:27

Immobilization of Multi-biocatalysts in Alginate Beads for Cofactor Regeneration and Improved Reusability

Published on: April 22, 2016

Area of Science:

  • Metabolic Engineering
  • Synthetic Biology
  • Biotechnology

Background:

  • Bioprocess yield and productivity are crucial for economic viability.
  • Genetic engineering for increased metabolite production can lead to reduced productivity due to growth impairment.
  • Dynamic control of metabolic fluxes has shown potential for increasing product formation.

Purpose of the Study:

  • To design and analyze an integrated computational model for dynamic control of gene expression.
  • To investigate the application of a genetic toggle switch for manipulating metabolic fluxes.
  • To improve bioprocess productivity in Escherichia coli.

Main Methods:

  • Development of an integrated computational model for dynamic gene expression control.
  • Implementation of a genetic toggle switch to manipulate key metabolic fluxes.
  • Analysis of the model coupled with Escherichia coli metabolism.

Main Results:

  • The designed controller effectively managed gene expression dynamically.
  • Coupling the controller to E. coli metabolism resulted in increased bioprocess productivity.
  • The genetic toggle switch successfully manipulated key metabolic fluxes.

Conclusions:

  • Dynamic control of metabolic fluxes via a genetic toggle switch is a viable strategy to enhance bioprocess productivity.
  • Integrated computational modeling is effective for designing such control systems.
  • This approach offers a solution to the challenge of growth impairment in metabolically engineered organisms.