Impact of 'ome' analyses on inverse metabolic engineering

被引:66
作者
Bro, C [1 ]
Nielsen, J [1 ]
机构
[1] Tech Univ Denmark, DTU, BioCtr, Ctr Microbial Biotechnol, DK-2800 Lyngby, Denmark
关键词
inverse metabolic engineering; functional genomics; DNA sequencing; DNA arrays; proteome analysis; metabolite profiling; flux; analysis;
D O I
10.1016/j.ymben.2003.11.005
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Genome-wide or large-scale methodologies employed in functional genomics such as DNA sequencing, transcription profiling, proteomics, and metabolite profiling have become important tools in many metabolic engineering strategies. These techniques allow the identification of genetic differences and insight into their cellular effects. In the field of inverse metabolic engineering mapping of differences between strains with different degree of a certain desired phenotype and subsequent identification of factors conferring that phenotype are an essential part. Therefore, the tools of functional genomics in particular have the potential to promote and expand inverse metabolic engineering. Here, we review the use of functional genomics methods in inverse metabolic engineering, examples are presented, and we discuss the identification of targets for metabolic engineering with low fold changes using these techniques. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:204 / 211
页数:8
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