Metabolic flux model for an anchorage-dependent MDCK cell line: Characteristic growth phases and minimum substrate consumption flux distribution

被引:37
作者
Wahl, Aljoscha [1 ]
Sidorenko, Yury [1 ]
Dauner, Michael [1 ]
Genzel, Yvonne [1 ]
Reichl, Udo [1 ,2 ]
机构
[1] Max Planck Inst Dynam Complex Tech Syst, D-39106 Magdeburg, Germany
[2] Otto VonGuericke Univ Magdegurg, Chair Bioproc Engn, D-39016 Magdeburg, Germany
关键词
metabolic flux analysis; metabolic network analysis; growth phase model; MDCK; metabolism; amino acid metabolism;
D O I
10.1002/bit.21873
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Up to now cell-culture based vaccine production processes only reach low productivities. The reasons are: (i) slow cell growth and (ii) low cell concentrations. To address these shortcomings, a quantitative analysis of the process conditions, especially the cell growth and the metabolic capabilities of the host cell line is required. For this purpose a MDCK cell based influenza vaccine production process was investigated. With a segregated growth model four distinct cell growth phases are distinguished in the batch process. In the first phase the cells attach to the surface of the microcarriers and show low metabolic activity. The second phase is characterized by exponential cell growth. In the third phase, preceded by a change in oxygen consumption, contact inhibition leads to a decrease in cell growth. Finally, the last phase before infection shows no further increase in cell numbers. To gain insight into the metabolic activity during these phases, a detailed metabolic model of MDCK cell was developed based on genome information and experimental analysis. The MDCK model was also used to calculate a theoretical flux distribution representing an optimized cell that only consumes a minimum of carbon sources. Comparing this minimum substrate consumption flux distribution to the fluxes estimated from experiments unveiled high overflow metabolism under the applied process conditions. Biotechnol. Bioeng. 2008;101: 135-152. (C) 2008 Wiley Periodicals, Inc.
引用
收藏
页码:135 / 152
页数:18
相关论文
共 55 条
[1]  
[Anonymous], 1988, Nonlinear regression analysis and its applications, DOI DOI 10.1002/9780470316757
[2]   GenBank [J].
Benson, Dennis A. ;
Karsch-Mizrachi, Ilene ;
Lipman, David J. ;
Ostell, James ;
Sayers, Eric W. .
NUCLEIC ACIDS RESEARCH, 2011, 39 :D32-D37
[3]  
Bonarius HPJ, 1996, BIOTECHNOL BIOENG, V50, P299, DOI 10.1002/(SICI)1097-0290(19960505)50:3<299::AID-BIT9>3.0.CO
[4]  
2-B
[5]   Anaplerotic molecules: Current and future [J].
Brunengraber, Henri ;
Roe, Charles R. .
JOURNAL OF INHERITED METABOLIC DISEASE, 2006, 29 (2-3) :327-331
[6]   DIFFERENT REGULATORY PROPERTIES OF THE CYTOSOLIC AND MITOCHONDRIAL FORMS OF MALIC ENZYME ISOLATED FROM HUMAN BRAIN [J].
BUKATO, G ;
KOCHAN, Z ;
SWIERCZYNSKI, J .
INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY, 1995, 27 (10) :1003-1008
[7]   MetaCyc: a multiorganism database of metabolic pathways and enzymes [J].
Caspi, Ron ;
Foerster, Hartmut ;
Fulcher, Carol A. ;
Hopkinson, Rebecca ;
Ingraham, John ;
Kaipa, Pallavi ;
Krummenacker, Markus ;
Paley, Suzanne ;
Pick, John ;
Rhee, Seung Y. ;
Tissier, Christophe ;
Zhang, Peifen ;
Karp, Peter D. .
NUCLEIC ACIDS RESEARCH, 2006, 34 :D511-D516
[8]  
CHANG HC, 1966, J BIOL CHEM, V241, P2413
[9]  
Chatterjee S., 1988, Sensitivity Analysis in Linear Regression, DOI 10.1002/9780470316764
[10]   Observations on the carbohydrate metabolism of tumours. [J].
Crabtree, HG .
BIOCHEMICAL JOURNAL, 1929, 23 (03) :536-545