High Level Secretion of Recombinant Human Serum Albumin by Fed-Batch Fermentation of the Methylotrophic Yeast, Pichia pastoris, Based on Optimal Methanol Feeding Strategy
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概要
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The dynamic programming method was applied to obtain the optimal specific growth rate, μ, in the fed-batch fermentation using the recombinant human serum albumin (rHSA)-producing yeast, Pichia pastoris. Based on the relationship between the specific production rate, ρ, and the specific growth rate, μ, a simple mathematical model describing the growth and rHSA production was constructed and used for calculations. Two constraints, final volume and maximum methanol feed rate, were adopted for calculations and the optimal μ resulted as follows. That is, μ was initially at the maximum value, μ_<max> then decreased gradually. Finally, μ decreased to the μ_<min> that gave a maximum ρ. The decline of μ was revealed to be caused by the constraint for maximum methanol feeding rate, F_<max> and F_<max> was constaint until μ decreased to μ_<min>. We tried to realize the optimal μ in the fed-batch fermentation by manipulating the methanol feeding rate and obtained it. However, the observed ρ was differed from the expected one. The discrepancy between the expected ρ and observed ρ after the change of μ suggests the inapplicability of the relationship between μ and ρ to dynamic situations where μ changes. To confirm this, simulation and fed-batch fermentation runs were carried out at a methanol feeding rate that would cause a continuous change in μ. The rHSA production was simulated well, suggesting the applicability of the relationship between μ and ρ in such situations. Discontinuity in the change in methanol feeding rate of the optimal feed pattern at the time μ changed is considered to be the cause for the discrepancy between the expected and observed ρ. Therefore, a new methanol feeding strategy that could mimic the changes in μ and ρ of the optimal strategy without a discontinuity in the feeding rate was sought using a mathematical model of fermentation by trial and error. This modification in the methanol feeding rate resulted in a considerably improved ρ and 18% increase in total rHSA production compared with those obtained by the optimal strategy.
- 社団法人日本生物工学会の論文
- 2000-09-25
著者
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Ohya Tomoshi
Protein Research Laboratory Pharmaceutical Research Division Mitsubishi Pharma Corporation
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Ohya Tomoshi
大阪大学 工学研究科生命先端工学専攻
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Ohya Tomoshi
Protein Reserach Laboratories Pharmaceuticals Research Division Mitsubishi Pharma Corporation
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OHYAMA MASAO
Protein Research Laboratory, Pharmaceutical Research Division, Mitsubishi Pharma Corporation
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KOBAYASHI KAORU
Exploratory Research III, Drug Discovery Laboratories, Pharmaceutical Research Division, Welfide Cor
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KUWAE SHINOBU
Exploratory Research III, Drug Discovery Laboratories, Pharmaceutical Research Division, Welfide Cor
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OHYA TOMOSHI
Exploratory Research III, Drug Discovery Laboratories, Pharmaceutical Research Division, Welfide Cor
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OHDA TOYOO
Exploratory Research III, Drug Discovery Laboratories, Pharmaceutical Research Division, Welfide Cor
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OHYAMA MASAO
Exploratory Research III, Drug Discovery Laboratories, Pharmaceutical Research Division, Welfide Cor
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TOMOMITSU KENJI
BIPHA Corporation
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Ohda Toyoo
Bioscience Research Drug Discovery Laboratories Pharmaceutical Research Division Yoshitomi Pharmaceu
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Kobayashi Kaoru
Protein Research Laboratory Pharmaceutical Research Division Mitsubishi Pharma Corporation
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Ohyama Masao
Protein Research Laboratory Pharmaceutical Research Division Mitsubishi Pharma Corporation
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Kuwae Shinobu
Protein Research Laboratory Pharmaceutical Research Division Mitsubishi Pharma Corporation
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Kuwae Shinobu
Research Center For Cell And Tissue Culture Faculty Of Agriculture Kyoto University
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Kobayashi Kaoru
Protein Research Laboratory Mitsubishi Tanabe Pharma Corporation
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Ohya Tomoshi
Protein Research Laboratory Mitsubishi Tanabe Pharma Corporation
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- High Level Secretion of Recombinant Human Serum Albumin by Fed-Batch Fermentation of the Methylotrophic Yeast, Pichia pastoris, Based on Optimal Methanol Feeding Strategy
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