Sentence examples for metabolic analysis using from inspiring English sources

Coincidentally, high requirements for maintenance energy by the recombinant xylose metabolizing S. cerevisiae was found in a metabolic analysis using XR-XDH strains (Feng and Zhao 2013b).

The concept of branch points and flux split ratios has been used in wet-lab metabolic flux analysis using small-scale metabolic models [ 35- 37], particularly in the context of metabolic engineering projects [ 38- 40].

Metabolic flux analysis using 13C-labeled substrates has become an important tool in metabolic engineering.

Metabolic flux analysis using carbon labeling experiments (CLEs) is an important tool in metabolic engineering where the intracellular fluxes have to be computed from the measured extracellular fluxes and the partially measured distribution of 13C labeling within the intracellular metabolite pools.

Steady state metabolic flux analysis using 13C labeled substrates is of growing importance in plant physiology and metabolic engineering.

Instationary C-based metabolic flux analysis using GC-MS and LC-MS measurements in time allowed for an accurate mapping of metabolic fluxes of glycolysis, pentose phosphate and methanol assimilation pathways.

For both strains, metabolism during the growth phase and lipid production phase were investigated by metabolic flux analysis using two parallel sodium acetate tracers.

Metabolic flux analysis using 13C-labelled glucose, showed that over-expression of phosphoketolase added flexibility to the central metabolism.

The catabolism of cellulose hydrolysis products by F. succinogenes was characterized further by performing a metabolic reconstruction analysis using the software program PRIAM [58] to generate KEGG pathway maps [59].

Automated protein function prediction was then performed using a number of databases including protein domains (Pfam) [88], UniProt [89], TIGRFAMs [90], KEGG [59], Interpro [91], and COG [20]; metabolic reconstruction analysis using PRIAM [58]; signal peptide prediction using SignalP [39]; tRNA prediction using tRNAscan-SE [92]; and rRNA prediction using RNAmmer [93].

The DET were also subjected to a KEGG-based metabolic pathway analysis using Blast2GO.