ArticleBiotechnology journal2013
Kinetic isotope effects significantly influence intracellular metabolite (13) C labeling patterns and flux determination.
Article in Biotechnology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 28 citations in OpenAlex.
- Cost-Effective Solid-State NMR Of Fungal Glucans: A Case Study On Schizosaccharomyces pombe.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Article
- 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
- Postprandial Metabolic Effects of Fiber Mixes Revealed by in vivo Stable Isotope Labeling in Humans.Metabolites · 2019Article
- The rate of lactate production from glucose in hearts is not altered by per-deuteration of glucose.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2017Article
- Evolution of E. coli on [U-13C]Glucose Reveals a Negligible Isotopic Influence on Metabolism and Physiology.PloS one · 2016Article
- Impact of kinetic isotope effects in isotopic studies of metabolic systems.BMC systems biology · 2015Article
- Metabolomic and (13)C-metabolic flux analysis of a xylose-consuming Saccharomyces cerevisiae strain expressing xylose isomerase.Biotechnology and bioengineering · 2015Article
- OpenFLUX2: (13)C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments.Microbial cell factories · 2014Article
- Isotopic ratio outlier analysis global metabolomics of Caenorhabditis elegans.Analytical chemistry · 2013Article
- Experimental evidence and isotopomer analysis of mixotrophic glucose metabolism in the marine diatom Phaeodactylum tricornutum.Microbial cell factories · 2013Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Rigorous mathematical modeling of carbon-labeling experiments allows estimation of fluxes through the pathways of central carbon metabolism, yielding powerful information for basic scientific studies as well as for a wide range of applications. However, the mathematical models that have been developed for flux determination from (13) C labeling data have commonly neglected the influence of kinetic isotope effects on the distribution of (13) C label in intracellular metabolites, as these effects have often been assumed to be inconsequential. We have used measurements of the (13) C isotope effects on the pyruvate dehydrogenase enzyme from the literature to model isotopic fractionation at the pyruvate node and quantify the modeling errors expected to result from the assumption that isotope effects are negligible. We show that under some conditions kinetic isotope effects have a significant impact on the (13) C labeling patterns of intracellular metabolites, and the errors associated with neglecting isotope effects in (13) C-metabolic flux analysis models can be comparable in size to measurement errors associated with GC-MS. Thus, kinetic isotope effects must be considered in any rigorous assessment of errors in (13) C labeling data, goodness-of-fit between model and data, confidence intervals of estimated metabolic fluxes, and statistical significance of differences between estimated metabolic flux distributions.
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