Changes in metabolism were analyzed further, using a metabolic network approach based on pairwise correlations between analyte levels in all genotypes and treatments combined (see methods).
To address current limitations of metabolic engineering, this article gives insights on recent systems metabolic engineering approaches based on functional tools and method such as genome reduction, amino acid sensors based on transcriptional regulators and riboswitches, CRISPR interference, small regulatory RNAs, DNA scaffolding, and optogenetic control, and discusses future prospects.
In the last decade, metabolic engineering approaches based on the mathematical optimization have been used extensively for the analysis and manipulation of metabolic networks.
Herein we present a combinatorial approach based on systems metabolic engineering and metabolic evolution for the development of efficient biomass-producing strain.
Recently, an approach based on metabolic pathway reaction content was proposed [ 15].
Therefore, an integrated systems approach based on fast screening, 'omics' tools, and metabolic-mathematical modeling could be useful for the design and optimization of metabolic pathways, which will result in a more efficient conversion of low-cost materials to highly desired products [6],[24],[94].
Hence, an approach based on expression levels (and not co-regulation) would not have been able to identify these tissue-specific metabolic pathways (for the other significant metabolic pathways refer to Supplementary Figs. S8 and S9).
Assuming that the metabolic pathways active in a certain type of tumor are beneficial for their growth, these tumors appear suited for a preventive approach based on a cholesterol-lowering compound such as atorvastatin.
The metabolic modules returned by ambient are connected parts of the bipartite network that change coherently between conditions, providing a more detailed view of metabolic changes than standard approaches based on pathway enrichment.
In addition, rational design approaches based on metabolic control have been reported to increase metabolic flux to specific products.
