title: Impact of 'ome' analyses on inverse metabolic engineering.
abstract: 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.
authors.affiliation: Center for Microbial Biotechnology, BioCentrum-DTU, Technical University of Denmark, Building 223, DK-2800 Kgs, Lyngby.
authors.forename: Christoffer
authors.initials: C
authors.lastname: Bro
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
mesh_terms: D000818:Animals; D002468:Cell Physiological Phenomena; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000502:physiology*; D024861:Genetic Enhancement / Q000379:methods; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010641:Phenotype; D015202:Protein Engineering / Q000379:methods*; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D014158:Transcription, Genetic / Q000502:physiology*
chemical_list: D020543:Proteome