Systems biotechnology for strain improvement
Various high-throughput experimental techniques are routinely used for generating large amounts of omics data. In parallel, in silico modelling and simulation approaches are being developed for quantitatively analyzing cellular metabolism at the systems level. Thus informative high-throughput analysis and predictive computational modelling or simulation can be combined to generate new knowledge through iterative modification of an in silico model and experimental design. On the basis of such global cellular information we can design cells that have improved metabolic properties for industrial applications. This article highlights the recent developments in these systems approaches, which we call systems biotechnology, and discusses future prospects...
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- Introduction
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- High-throughput x-omic analyses for strain improvement
- Genome analysis
- Transcriptome analysis
- Proteome analysis
- Metabolome and fluxome analysis
- Combined omics analysis
In silico modelling and simulation
- Construction of an in silico model
- In silico metabolic simulation
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- Systemic and integrative strategy for developing improved strains
Future prospects
Acknowledgements
Glossary
References
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