2003
DOI: 10.1016/s0168-1656(02)00316-4
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Metabolic flux analysis of Escherichia coli K12 grown on 13C-labeled acetate and glucose using GC-MS and powerful flux calculation method

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Cited by 142 publications
(140 citation statements)
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“…It was speculated that the relatively high C. glutamicum TCA cycle fluxes were needed to generate sufficient reductant for respiration to support the high ATP demands of gluconeogenesis. Similar results were observed in E. coli respiring with acetate, with 30% of flux from isocitrate going to the glyoxylate shunt and 70% through the lower TCA cycle (35). A 13 C-labeling study of Geobacter metallireducens showed high TCA cycle flux from acetate while respiring with Fe 3ϩ with zero flux through the glyoxylate shunt (36).…”
Section: Discussionsupporting
confidence: 63%
“…It was speculated that the relatively high C. glutamicum TCA cycle fluxes were needed to generate sufficient reductant for respiration to support the high ATP demands of gluconeogenesis. Similar results were observed in E. coli respiring with acetate, with 30% of flux from isocitrate going to the glyoxylate shunt and 70% through the lower TCA cycle (35). A 13 C-labeling study of Geobacter metallireducens showed high TCA cycle flux from acetate while respiring with Fe 3ϩ with zero flux through the glyoxylate shunt (36).…”
Section: Discussionsupporting
confidence: 63%
“…However, the model predicted extremely high reversibility (exch ϭ 0.99) in the reaction that converts oxoglutarate to succinate compared to those in other microorganisms (41). This reaction contains two steps and is usually catalyzed by the enzymes oxoglutarate oxidoreductase (oxoglutarate 3 succinyl-CoA; ⌬G ϭ Ϫ33.5 kJ/mol) and succinylCoA synthetase (succinyl-CoA 3 succinate; ⌬G ϭ Ϫ2.9 kJ/ mol) (25).…”
Section: Resultsmentioning
confidence: 99%
“…The unknown metabolic fluxes were calculated to 11 minimize ε. To estimate the confidence interval for calculated fluxes, a Monte Carlo approach 12 was employed (Zhao and Shimizu 2003). In brief, 20 isotopomer concentration data sets were 13 generated by addition of normally distributed measurement noise to actual measurement data.…”
Section: Reversible 13mentioning
confidence: 99%