Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.
The importance of regulatory control in metabolic processes is widely acknowledged, and several enquiries (both local and global) are being made in understanding regulation at various levels of the metabolic hierarchy. The wealth of biological information has enabled identifying the individual components (genes, proteins, and metabolites) of a biological system, and we are now in a position to understand the interactions between these components. Since phenotype is the net result of these interactions, it is immensely important to elucidate them not only for an integrated understanding of physiology, but also for practical applications of using biological systems as cell factories. We present some of the recent "-omics" approaches that have expanded our understanding of regulation at the gene, protein, and metabolite level, followed by analysis of the impact of this progress on the advancement of metabolic engineering. Although this review is by no means exhaustive, we attempt to convey our ideology that combining global information from various levels of metabolic hierarchy is absolutely essential in understanding and subsequently predicting the relationship between changes in gene expression and the resulting phenotype. The ultimate aim of this review is to provide metabolic engineers with an overview of recent advances in complementary aspects of regulation at the gene, protein, and metabolite level and those involved in fundamental research with potential hurdles in the path to implementing their discoveries in practical applications.
Vemuri
Goutham N
GN
Center for Molecular BioEngineering, Drifmier Engineering Center, University of Georgia, Athens, 30605, USA.
Aristidou
Aristos A
AA
D001419:Bacteria / Q000235:genetics* / Q000378:metabolism; D005658:Fungi / Q000235:genetics* / Q000378:metabolism; D016680:Genome, Bacterial; D016681:Genome, Fungal; D005838:Genotype; D010641:Phenotype; D040081:Protein Array Analysis; D015202:Protein Engineering / Q000639:trends; D020543:Proteome / Q000235:genetics* / Q000378:metabolism; D040901:Proteomics / Q000639:trends; D015398:Signal Transduction; D049490:Systems Biology
D020543:Proteome