Literature DB >> 8257428

13C n.m.r. isotopomer and computer-simulation studies of the non-oxidative pentose phosphate pathway of human erythrocytes.

H A Berthon1, W A Bubb, P W Kuchel.   

Abstract

13C double-quantum filtered correlation spectroscopy (DQF-COSY) provides a novel method for the detection of reactions involving carbon-bond scissions. We report the use of this technique to investigate isotopic exchange reactions of the non-oxidative pentose phosphate pathway in human erythrocytes. These exchange reactions resulted in the formation of a range of isotopic isomers (isotopomers) of glucose 6-phosphate after incubation of a mixture of universally 13C-labelled and unlabelled glucose 6-phosphate with fructose 1,6-bisphosphate and haemolysates. These isotopomers were detected in the coupling patterns of cross-peaks within the DQF-COSY spectrum of the deproteinized sample. A computer model which fully describes the reactions of the non-oxidative pentose phosphate pathway in human erythrocytes has previously been constructed and tested with 31P n.m.r. time-course data in our laboratory. This model was refined using 13C n.m.r. time-course data and extended to include the range of isotopomers which may be formed experimentally by the reactions of the non-oxidative pentose phosphate pathway. The isotopomer ratios obtained experimentally from the DQF-COSY spectrum were consistent with simulations generated by this model.

Entities:  

Mesh:

Substances:

Year:  1993        PMID: 8257428      PMCID: PMC1137707          DOI: 10.1042/bj2960379

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  35 in total

1.  High control coefficient of transketolase in the nonoxidative pentose phosphate pathway of human erythrocytes: NMR, antibody, and computer simulation studies.

Authors:  H A Berthon; P W Kuchel; P F Nixon
Journal:  Biochemistry       Date:  1992-12-29       Impact factor: 3.162

2.  Formation of unequally labeled fructose 6-phosphate by an exchange reaction catalyzed by transaldolase.

Authors:  L LJUNGDAHL; H G WOOD; E RACKER; D COURI
Journal:  J Biol Chem       Date:  1961-06       Impact factor: 5.157

3.  The labeling of pentose phosphate from glucose-14C and estimation of the rates of transaldolase, transketolase, the contribution of the pentose cycle, and ribose phosphate synthesis.

Authors:  J Katz; R Rognstad
Journal:  Biochemistry       Date:  1967-07       Impact factor: 3.162

4.  The transketolase exchange reaction in vitro.

Authors:  M G Clark; J F Williams; P F Blackmore
Journal:  Biochem J       Date:  1971-11       Impact factor: 3.857

5.  Phosphorus compounds in the human erythrocyte.

Authors:  G R Bartlett
Journal:  Biochim Biophys Acta       Date:  1968-03-11

6.  Use of anthrone in the quantitative determination of hexose phosphates.

Authors:  D Graham; J Smydzuk
Journal:  Anal Biochem       Date:  1965-05       Impact factor: 3.365

7.  Synthesis and cleavage of octulose bisphosphates with liver and muscle aldolases.

Authors:  F Paoletti; J F Williams; B L Horecker
Journal:  Arch Biochem Biophys       Date:  1979-12       Impact factor: 4.013

8.  Estimations of pathway contributions to glucose metabolism and the transaldolase reactions.

Authors:  B R Landau; G E Bartsch
Journal:  J Biol Chem       Date:  1966-02-10       Impact factor: 5.157

9.  New reaction sequences for the non-oxidative pentose phosphate pathway.

Authors:  J F Williams; P F Blackmore; M G Clark
Journal:  Biochem J       Date:  1978-10-15       Impact factor: 3.857

10.  The pentose phosphate pathway in rabbit liver. Studies on the metabolic sequence and quantitative role of the pentose phosphate cycle by using a system in situ.

Authors:  J F Williams; K G Rienits; P J Schofield; M G Clark
Journal:  Biochem J       Date:  1971-08       Impact factor: 3.857

View more
  7 in total

1.  Role of band 3 in regulating metabolic flux of red blood cells.

Authors:  Ian A Lewis; M Estela Campanella; John L Markley; Philip S Low
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-21       Impact factor: 11.205

2.  Riboneogenesis in yeast.

Authors:  Michelle F Clasquin; Eugene Melamud; Alexander Singer; Jessica R Gooding; Xiaohui Xu; Aiping Dong; Hong Cui; Shawn R Campagna; Alexei Savchenko; Alexander F Yakunin; Joshua D Rabinowitz; Amy A Caudy
Journal:  Cell       Date:  2011-06-10       Impact factor: 41.582

3.  Model of 2,3-bisphosphoglycerate metabolism in the human erythrocyte based on detailed enzyme kinetic equations: in vivo kinetic characterization of 2,3-bisphosphoglycerate synthase/phosphatase using 13C and 31P NMR.

Authors:  P J Mulquiney; W A Bubb; P W Kuchel
Journal:  Biochem J       Date:  1999-09-15       Impact factor: 3.857

4.  Models of the human metabolic network: aiming to reconcile metabolomics and genomics.

Authors:  Philip W Kuchel
Journal:  Genome Med       Date:  2010-07-28       Impact factor: 11.117

5.  Removing the bottlenecks of cell culture metabolomics: fast normalization procedure, correlation of metabolites to cell number, and impact of the cell harvesting method.

Authors:  Caroline Muschet; Gabriele Möller; Cornelia Prehn; Martin Hrabě de Angelis; Jerzy Adamski; Janina Tokarz
Journal:  Metabolomics       Date:  2016-09-15       Impact factor: 4.290

Review 6.  The importance of the photosynthetic Gibbs effect in the elucidation of the Calvin-Benson-Bassham cycle.

Authors:  Oliver Ebenhöh; Stephanie Spelberg
Journal:  Biochem Soc Trans       Date:  2018-01-05       Impact factor: 5.407

7.  Constructing and analysing dynamic models with modelbase v1.2.3: a software update.

Authors:  Marvin van Aalst; Oliver Ebenhöh; Anna Matuszyńska
Journal:  BMC Bioinformatics       Date:  2021-04-20       Impact factor: 3.169

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.