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Metabolic Engineering

Name: Metabolic Engineering
Creator: J, Nielsen
Keywords: 0301 basic medicine, Industrial Microbiology, 0303 health sciences, 03 medical and health sciences, Metabolism, Fermentation, Efficiency, Genetic Engineering, Protein Engineering, Biotechnology

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Apr 2001 English Publisher:Elsevier BVJournal:Applied Microbiology and Biotechnology, volume 55, pages 263-283 (issn: 0175-7598, eissn: 1432-0614,

Authors: J, Nielsen;

doi: 10.1016/b0-12-227410-5/00422-1 , 10.1007/s002530000511

pmid: 11341306

Metabolic Engineering

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Abstract

Metabolic engineering has developed as a very powerful approach to optimising industrial fermentation processes through the introduction of directed genetic changes using recombinant DNA technology. Successful metabolic engineering starts with a careful analysis of cellular function; based on the results of this analysis, an improved strain is designed and subsequently constructed by genetic engineering. In recent years some very powerful tools have been developed, both for analysing cellular function and for introducing directed genetic changes. In this paper, some of these tools are reviewed and many examples of metabolic engineering are presented to illustrate the power of the technology. The examples are categorised according to the approach taken or the aim: (1) heterologous protein production, (2) extension of substrate range, (3) pathways leading to new products, (4) pathways for degradation of xenobiotics, (5) improvement of overall cellular physiology, (6) elimination or reduction of by-product formation, and (7) improvement of yield or productivity.

Related Organizations

Technical University of Denmark
Denmark

Keywords

Industrial Microbiology, Metabolism, Fermentation, Efficiency, Genetic Engineering, Protein Engineering, Biotechnology, Forecasting, Xenobiotics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	243
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%