A coupled single cell-population-balance model for mammalian cell cultures

Industrial and Engineering Chemistry Research

Volumn 45, Issue 16, 2006, Pages 5801-5811

  Sidoli, Fabio R ^a   Asprey, Steven P ^b   Mantalaris, Athanasios ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b CITIGROUP   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; COMPUTER SIMULATION; MATHEMATICAL MODELS;

INTRACELLULAR PROCESSES; POPULATION-BALANCE MODELS (PBM); SINGLE-CELL MODELS (SCM);

CELL CULTURE;

CELL CULTURE; CELLS; COMPUTER SIMULATION; MATHEMATICAL MODELS;

EID: 33748306378     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0511581     Document Type: Article

References (20)

1. Mantzaris, N.; Liou J.; Daoutidis, P.; Srienc, F. Numerical solution of a mass structured cell population balance model in an environment of changing substrate concentration. J. Biotechnol. 1999, 71, 157-174.
2. Mantzaris, N. V.; Srienc, F.; Daoutidis, P. Nonlinear productivity control using a multi-staged cell population balance model. Chem. Eng. Sci. 2002, 57, 1-14.
3. Hatzis, C.; Srienc, F.; Fredrickson, A. G. Multistaged corpuscular models of microbial growth: Monte Carlo simulations. Biosystems 1995, 36, 19-35.
4. Sanderson, C. The development and application of a structured model for animal cell metabolism. Ph.D. Thesis, University of Sydney, Sydney, Australia, 1997.
5. Batt, B. C.; Kompala, D. S. A structured kinetic modeling framework for the dynamics of hybridoma growth and monoclonal antibody production in continuous suspension cultures. Biotechnol. Bioeng. 1989, 34, 515-531.
6. Wu, P.; Ray, N. G.; Shuler, M. L. A single-cell model for Chinese hamster ovary cells. Ann. N.Y. Acad. Sci. 1992, 665, 152-187.
7. Sidoli, F. R.; Mantalaris, A. M.; Asprey S. P. Towards global parametric estimability of a large-scale kinetic single-cell model for mammalian cell cultures. Ind. Eng. Chem. Res. 2005, 44, 868-878.
8. Conlon, I. J.; Dunn, G. A.; Mudge, A. W.; Raff, M. C. Extracellular control of cell size. Nat. Cell Biol. 2001, 3, 918-921.
9. Lee, M. S.; Lee, G. M. Hyperosmotic pressure enhances immunoglobulin transcription rates and secretion rates of KR12H-2 transfectoma. Biotechnol. Bioeng. 2000, 68, 260-268.
10. Conlon, I.; Raff, M. Differences in the way a mammalian cell and yeast cells coordinate cell growth and cell-cycle progression. J. Cell Biol. 2003, 2, 7.
11. Stryer, L. Biochemistry; W. H. Freeman and Company: San Francisco, CA, 1981.
12. Rawn, J. D. Biochemistry; Niel Patterson Publishers: 1989.
13. Curto, R.; Voit, E. O.; Sorribas, A.; Cascante, M. Validation and steady-state analysis of a power-law model of purine metabolism in man. Biochem. J. 1997, 324, 761-775.
14. Ramkrishna, D. Population balances: Theory and applications to particulate systems in engineering; Academic Press: San Diego, CA, 2000.
15. Madras, G.; McCoy, J. Reversible crystal growth-dissolution and aggregation-breakage: Numerical and moment solutions for population balance equations. Powder Technol. 2004, 297-307.
16. Ramkrishna, D. Statistical Models of Cell Populations. Adv. Biochem. Eng. 1979, 11, 1-47.
17. Schiesser, W. E. The Numerical Method of Lines: Integration of Partial Differential Equations; Academic Press: San Diego, CA, 1991.
18. Liou, J.; Srienc, F.; Fredrickson, A. Solutions of population balance models based on a successive generations approach. Chem. Eng. Sci. 1997, 52, 1529-1540.
19. Miller, W. M. A Kinetic Analysis of Hybridoma Growth and Metabolism. Ph.D. Thesis, University of California, Berkeley, CA, 1987.
20. Saltelli, A.; Chan, K.; Scott, E. M.; Sensitivity Analysis; Wiley: New York, 2000.