Macrokinetic model for methylotrophic Pichia pastoris based on stoichiometric balance

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • H. T. Ren
  • J. Q. Yuan
  • K. H. Bellgardt

Organisationseinheiten

Externe Organisationen

  • Shanghai Jiaotong University
  • East China University of Science and Technology
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Details

OriginalspracheEnglisch
Seiten (von - bis)53-68
Seitenumfang16
FachzeitschriftJournal of biotechnology
Jahrgang106
Ausgabenummer1
Frühes Online-Datum23 Okt. 2003
PublikationsstatusVeröffentlicht - 5 Dez. 2003

Abstract

A macrokinetic model for Pichia pastoris expressing recombinant human serum albumin is proposed. The model describes the balances of some key metabolites, ATP and NADH, during glycerol and methanol metabolism. In the glycerol growth phase, the metabolic pathways mainly include phosphorylation, glycolysis, tricarboxylic acid cycle, and respiratory chain. In the methanol growth phase, methanol is oxidized to formaldehyde at first. Then, while a part of formaldehyde is oxidized to formate, the rest is condensed with xylulose-5-monophosphate to form glyceraldehyde-3-phosphate, and further assimilated to form cell constituents. The metabolic pathways following glyceraldehyde-3-phosphate were assumed to be similar to those in the glycerol growth phase. Based on the model, the macrokinetic bioreaction rates such as the specific substrate consumption rate, the specific growth rate, the specific acetyl-CoA formation rate as well as the specific oxygen uptake rate are obtained. The specific substrate consumption rate and the specific growth rate are then coupled into a bioreactor model such that the relationship between substrate feeding rates and the main state variables, i.e., the medium volume, the concentrations of the biomass, the substrate, and the product, is set up. Experimental results demonstrate that the model can describe the cell growth and the protein production with reasonable accuracy.

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Macrokinetic model for methylotrophic Pichia pastoris based on stoichiometric balance. / Ren, H. T.; Yuan, J. Q.; Bellgardt, K. H.
in: Journal of biotechnology, Jahrgang 106, Nr. 1, 05.12.2003, S. 53-68.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Ren HT, Yuan JQ, Bellgardt KH. Macrokinetic model for methylotrophic Pichia pastoris based on stoichiometric balance. Journal of biotechnology. 2003 Dez 5;106(1):53-68. Epub 2003 Okt 23. doi: 10.1016/j.jbiotec.2003.08.003
Ren, H. T. ; Yuan, J. Q. ; Bellgardt, K. H. / Macrokinetic model for methylotrophic Pichia pastoris based on stoichiometric balance. in: Journal of biotechnology. 2003 ; Jahrgang 106, Nr. 1. S. 53-68.
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AU - Ren, H. T.

AU - Yuan, J. Q.

AU - Bellgardt, K. H.

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N2 - A macrokinetic model for Pichia pastoris expressing recombinant human serum albumin is proposed. The model describes the balances of some key metabolites, ATP and NADH, during glycerol and methanol metabolism. In the glycerol growth phase, the metabolic pathways mainly include phosphorylation, glycolysis, tricarboxylic acid cycle, and respiratory chain. In the methanol growth phase, methanol is oxidized to formaldehyde at first. Then, while a part of formaldehyde is oxidized to formate, the rest is condensed with xylulose-5-monophosphate to form glyceraldehyde-3-phosphate, and further assimilated to form cell constituents. The metabolic pathways following glyceraldehyde-3-phosphate were assumed to be similar to those in the glycerol growth phase. Based on the model, the macrokinetic bioreaction rates such as the specific substrate consumption rate, the specific growth rate, the specific acetyl-CoA formation rate as well as the specific oxygen uptake rate are obtained. The specific substrate consumption rate and the specific growth rate are then coupled into a bioreactor model such that the relationship between substrate feeding rates and the main state variables, i.e., the medium volume, the concentrations of the biomass, the substrate, and the product, is set up. Experimental results demonstrate that the model can describe the cell growth and the protein production with reasonable accuracy.

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