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Chemistry - Biotechnology | Systems Metabolic Engineering - Methods and Protocols

Systems Metabolic Engineering

Methods and Protocols

Series: Methods in Molecular Biology, Vol. 985

Alper, Hal S. (Ed.)

2013, XII, 474 p. 61 illus., 47 illus. in color. With online files/update.

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  • Features methodologies and approaches that play an important role in the design cycle for strain improvement
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and expert implementation advice in order to guarantee success in the lab

With the ultimate goal of systematically and robustly defining the specific perturbations necessary to alter a cellular phenotype, systems metabolic engineering has the potential to lead to a complete cell model capable of simulating cell and metabolic function as well as predicting phenotypic response to changes in media, gene knockouts/overexpressions, or the incorporation of heterologous pathways.  In Systems Metabolic Engineering: Methods and Protocols, experts in the field describe the methodologies and approaches in the area of systems metabolic engineering and provide a step-by-step guide for their implementation. Four major tenants of this approach are addressed, including modeling and simulation, multiplexed genome engineering, ‘omics technologies, and large data-set incorporation and synthesis, all elucidated through the use of model host organisms.  Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions on their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

 

Comprehensive and cutting-edge, Systems Metabolic Engineering: Methods and Protocols serves as an ideal guide for metabolic engineers, molecular biologists, and microbiologists aiming to implement the most recent approaches available in the field.

Content Level » Professional/practitioner

Keywords » Cellular phenotype alteration - Large data-set synthesis - Metabolic function simulation - Modeling - Multiplexed genome engineering - Strain improvement - Systems metabolic engineering - ‘Omics technologies

Related subjects » Biotechnology

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