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Updated: Jul 4, 2026
09:28
Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
Published on: May 18, 2020
Application of systems biology for bioprocess development
Jin Hwan Park1, Sang Yup Lee, Tae Yong Kim
1Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering, Center for Systems and Synthetic Biotechnology, Institute for the BioCentury, KAIST, Daejeon 305-701, Korea.
Trends in Biotechnology
|June 28, 2008
Summary
Systems metabolic engineering optimizes cellular networks for strain and bioprocess development. This integrated approach, using systems biology, prevents unwanted metabolic changes and improves outcomes.
Area of Science:
- Biotechnology and Synthetic Biology
- Metabolic Engineering
- Systems Biology
Background:
- Uncontrolled genetic modification can disrupt cellular metabolism.
- Systems biology offers a framework to understand and engineer complex cellular networks.
- Integrating metabolic engineering with systems biology is crucial for robust strain development.
Purpose of the Study:
- To review the applications of systems biology in strain and bioprocess development.
- To highlight successful examples of systems metabolic engineering.
- To discuss future prospects in the field.
Main Methods:
- Applying a systems biology framework to metabolic engineering.
- Integrated engineering of regulatory, metabolic, and other cellular networks.
- Consideration of fermentation and downstream processes early in development.
Main Results:
- Systems metabolic engineering enables the development of optimized microbial strains.
- Successful examples demonstrate the efficacy of this integrated approach.
- Improved bioprocesses result from considering the entire cellular system.
Conclusions:
- Systems biology is essential for rational and effective metabolic engineering.
- Integrated approaches lead to more predictable and desirable cellular functions.
- Future prospects involve further advancements in applying systems biology to bioprocesses.
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