Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry
This paper examines whether the in vivo behavior of yeast glycolysis can be understood in terms of the in vitro kinetic properties of the constituent enzymes. In nongrowing, anaerobic, compressed Saccharomyces cerevisiae the values of the kinetic parameters of most glycolytic enzymes were determined. For the other enzymes appropriate literature values were collected. By inserting these values into a kinetic model for glycolysis, fluxes and metabolites were calculated. Under the same conditions fluxes and metabolite levels were measured. In our first model, branch reactions were ignored. This model failed to reach the stable steady state that was observed in the experimental flux measurements. Introduction of branches towards trehalose, glycogen, glycerol and succinate did allow such a steady state. The predictions of this branched model were compared with the empirical behavior. Half of the enzymes matched their predicted flux in vivo within a factor of 2. For the other enzymes it was calculated what deviation between in vivo and in vitro kinetic characteristics could explain the discrepancy between in vitro rate and in vivo flux.
PubMed ID: 10951190
Projects: SysMO DB
Publication type: Not specified
Journal: Eur. J. Biochem.
Date Published: 22nd Aug 2000
Registered Mode: Not specified
Authors: Firstname Lastname, J Passarge, C A Reijenga, E Esgalhado, C C van der Weijden, M Schepper, M C Walsh, B M Bakker, K van Dam, H V Westerhoff, Firstname Lastname
Institutions: School of Computer Science, University of Manchester, HITS gGmbH
I am a Research Fellow at the University of Manchester, working in Bioinformatics and Computer Science. I am also a guest researcher at the Vrije Universiteit.My research interests include scientific workflows, semantic discovery, and applying ontology technologies to biological data
The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:
- maximises the ‘shelf life’ and utility of data generated by SysMO;
- provides an integrated platform for the dissemination ...
Assay to measure gene expression of yeast saccharomyces cerevisiae under different nutrient limitations
Limiting Nutrients: ethanol, nitrogen, glucose, phosphorus, carbon, sulfur, sulphur
This data is public data taken from the BioInvestigation Index.
Submitter: Katy Wolstencroft
Assay type: Transcriptional Profiling
Technology type: Microarray
Investigation: Growth control of the eukaryote cell: a systems...
Study: 1 hidden item
Results of transcriptional profile in saccharomyces cerevisiae under different experimental conditions
Creator: Jacky Snoep
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
Organism: Callimico goeldii
Investigations: Growth control of the eukaryote cell: a systems...