ArticleMetabolites2014
Reliable Metabolic Flux Estimation in Escherichia coli Central Carbon Metabolism Using Intracellular Free Amino Acids.
Article in Metabolites, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Article
- Co-Cultivated Enzyme Constraint Metabolic Network Model for Rational Guidance in Constructing Synthetic Consortia to Achieve Optimal Pathway Allocation Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Improvement of ethanol and 2,3-butanediol production in Saccharomyces cerevisiae by ATP wasting.Microbial cell factories · 2023Article
- Prediction of Metabolic Flux Distribution by Flux Sampling: As a Case Study, Acetate Production from Glucose inBioengineering (Basel, Switzerland) · 2023Article
- Improved 13C metabolic flux analysis in Escherichia coli metabolism: application of a high-resolution MS (GC-EI-QTOF) for comprehensive assessment of MS/MS fragments.Journal of industrial microbiology & biotechnology · 2023Article
- ECMpy, a Simplified Workflow for Constructing Enzymatic Constrained Metabolic Network Model.Biomolecules · 2022Article
- Repression of mitochondrial metabolism for cytosolic pyruvate-derived chemical production in Saccharomyces cerevisiae.Microbial cell factories · 2019Article
- The E. coli dicarboxylic acid transporters DauA act as a signal transducer by interacting with the DctA uptake system.Scientific reports · 2017Article
- Article
- Investigation of useful carbon tracers forMetabolic engineering communications · 2016Article
- A Method to Constrain Genome-Scale Models with 13C Labeling Data.PLoS computational biology · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
13C metabolic flux analysis (MFA) is a tool of metabolic engineering for investigation of in vivo flux distribution. A direct 13C enrichment analysis of intracellular free amino acids (FAAs) is expected to reduce time for labeling experiments of the MFA. Measurable FAAs should, however, vary among the MFA experiments since the pool sizes of intracellular free metabolites depend on cellular metabolic conditions. In this study, minimal 13C enrichment data of FAAs was investigated to perform the FAAs-based MFA. An examination of a continuous culture of Escherichia coli using 13C-labeled glucose showed that the time required to reach an isotopically steady state for FAAs is rather faster than that for conventional method using proteinogenic amino acids (PAAs). Considering 95% confidence intervals, it was found that the metabolic flux distribution estimated using FAAs has a similar reliability to that of the PAAs-based method. The comparative analysis identified glutamate, aspartate, alanine and phenylalanine as the common amino acids observed in E. coli under different culture conditions. The results of MFA also demonstrated that the 13C enrichment data of the four amino acids is required for a reliable analysis of the flux distribution.
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Registered trials
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