ReviewInternational journal of molecular sciences2009
Bidirectionality and compartmentation of metabolic fluxes are revealed in the dynamics of isotopomer networks.
Review in International journal of molecular sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Carbon flux through photosynthesis and central carbon metabolism show distinct patterns between algae, CNature plants · 2022Article
- Applications of NMR spectroscopy to systems biochemistry.Progress in nuclear magnetic resonance spectroscopy · 2016Review
- Integrated, Step-Wise, Mass-Isotopomeric Flux Analysis of the TCA Cycle.Cell metabolism · 2015Article
- Engineering the supply chain for protein production/secretion in yeasts and mammalian cells.Journal of industrial microbiology & biotechnology · 2015Review
- Sensitivity analysis of flux determination in heart by H₂ ¹⁸O -provided labeling using a dynamic Isotopologue model of energy transfer pathways.PLoS computational biology · 2012Article
- Symbolic flux analysis for genome-scale metabolic networks.BMC systems biology · 2011Article
- Large-scale in silico modeling of metabolic interactions between cell types in the human brain.Nature biotechnology · 2010Article
- Molecular system bioenergetics-new aspects of metabolic research.International journal of molecular sciences · 2009Article
Corrections and comments
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Authors and funding
4 authors.
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Abstract
Isotope labeling is one of the few methods of revealing the in vivo bidirectionality and compartmentalization of metabolic fluxes within metabolic networks. We argue that a shift from steady state to dynamic isotopomer analysis is required to deal with these cellular complexities and provide a review of dynamic studies of compartmentalized energy fluxes in eukaryotic cells including cardiac muscle, plants, and astrocytes. Knowledge of complex metabolic behaviour on a molecular level is prerequisite for the intelligent design of genetically modified organisms able to realize their potential of revolutionizing food, energy, and pharmaceutical production. We describe techniques to explore the bidirectionality and compartmentalization of metabolic fluxes using information contained in the isotopic transient, and discuss the integration of kinetic models with MFA. The flux parameters of an example metabolic network were optimized to examine the compartmentalization of metabolites and and the bidirectionality of fluxes in the TCA cycle of Saccharomyces uvarum for steady-state respiratory growth.
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Registered trials
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