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1.
Biotechnol Prog ; 22(6): 1560-9, 2006.
Article in English | MEDLINE | ID: mdl-17137302

ABSTRACT

The GS-NS0 cell line is industrially important and is currently used for the large-scale production of several therapeutic monoclonal antibodies. A novel hybrid model, consisting of both unstructured and structured elements, has been developed to describe cell growth and death, metabolism, and antibody production in the GS-NS0 system under normal culture conditions. A comparison between the hybrid model and a large-scale single-cell model (SCM) describing detailed metabolic processes verified the predictive ability of the hybrid model (when compared with experimental data) and highlighted the practical difficulties involved in utilizing complex models. Global sensitivity analysis (GSA) on the hybrid model identified the specific transcription and translation rates of heavy and light immunoglobulin chains as parameters with the largest impact on the antibody production process. This information, together with the addition of a 24-h lag phase, resulted in the successful extension of the hybrid model to represent GS-NS0 system behavior under hyperosmotic culture conditions.


Subject(s)
Antibodies, Monoclonal/metabolism , Cell Culture Techniques/methods , Mechanotransduction, Cellular/physiology , Models, Biological , Multiple Myeloma/metabolism , Myeloma Proteins/metabolism , Protein Engineering/methods , Animals , Antibodies, Monoclonal/genetics , Cell Line, Tumor , Computer Simulation , Mice , Multiple Myeloma/genetics , Osmotic Pressure , Proteome/metabolism , Recombinant Proteins/metabolism
2.
Cytometry A ; 64(1): 43-50, 2005 Mar.
Article in English | MEDLINE | ID: mdl-15688357

ABSTRACT

BACKGROUND: Two calibration methods have been proposed for determining the relation between the fluorescence ratio of a pH-sensitive fluorescent indicator and intracellular pH (pHi). The first method uses nigericin to clamp pHi to external pH (pHe) and the second is the null point method. We compared these different calibration methods, solution conditions, and temperatures by using flow cytometry and the fluorescent dye 1,5- (and-6)-carboxy seminaphtorhodafluor-1-acetoxymethyl ester with an NS0 cell line. METHODS: The nigericin method was performed in glucose solutions supplemented with KCl and 2-(N-morpholino)ethane sulphonic acid plus tris(hydroxymethyl)aminomethane (solution 1A), a mixture of K2HPO4/KH2PO4 in glucose-solution supplemented solutions (solution 2A), or bicarbonate buffered growth medium supplemented with K2HPO4/KH2PO4 (solution 2B); this allowed a range of pHe values to be used. The effect of temperature (22 degrees C or 37 degrees C) on the nigericin calibration curve was also investigated. The null point method was performed by using a series of solutions with a mixture of weak acid and base with a known pHi response. RESULTS: Using solution 1A as the calibration solution resulted in acidic values of pHi for cells cultured in medium as compared with the values achieved with solution 2A. Using solution 2B did not affect the calibration curve. For the temperatures considered in this study, there was no affect on the calibration curve, but temperature did affect the pHi value of cells in phosphate buffered saline. The pseudo-null point method used with flow cytometry resulted in a calibration curve that was significantly different (P<0.05) from that achieved using the nigericin method. CONCLUSIONS: Our data indicates that the choice of calibration solution can affect the reported pHi value; therefore, careful choice of solution is important.


Subject(s)
Flow Cytometry/methods , Fluorescent Dyes/metabolism , Hydrogen-Ion Concentration , Signal Processing, Computer-Assisted , Animals , Benzopyrans , Calibration , Cell Line , Ionophores/metabolism , Mice , Nigericin/metabolism , Temperature
3.
Biotechnol Appl Biochem ; 40(Pt 1): 41-6, 2004 Aug.
Article in English | MEDLINE | ID: mdl-15270706

ABSTRACT

It has been widely reported that metabolism, cell growth, cell density, product secretion and specific antibody productivity in mammalian cells are strongly affected by osmotic conditions. Previous studies have shown that hyperosmotic pressure suppresses cell growth while enhancing the productivity of individual cells, but the effect of these two changes does not result in an increase in final product concentration in the culture. An improved understanding of the basic cellular processes of a GS-NS0 mammalian cell culture system would assist in the design of a more efficient mammalian cell culture system and in further optimization of production processes. In this study, various properties of mammalian culture systems, such as productivity, cell viability, metabolism, ion balance and the genes regulated during the culture of the GS-NS0 system under osmotic pressure of iso- (290 mOsm/kg) and hyper- (450 mOsm/kg) osmolarity have been investigated, and we demonstrate that there is a decrease in the growth rate and an increase in specific production rate of hyperosmotic cultures as compared with iso-osmotic cultures. Furthermore, differences between iso- and hyper-osmotic cultures have been identified in calcium accumulation and metabolism of NH4+, glucose and lactate. Analysis of gene expression reveals regulation of over 600 genes that are implicated in processes known to be affected by changes in osmotic pressure, such as ion transport, accumulation of osmolytes, cell cycle distribution, proliferation, cytoskeletal organization and cell metabolism.


Subject(s)
Antibodies/metabolism , Cell Culture Techniques/methods , Gene Expression Regulation, Neoplastic , Multiple Myeloma/metabolism , Myeloma Proteins/metabolism , Osmotic Pressure , Protein Engineering/methods , Adaptation, Physiological , Animals , Antibodies/genetics , Antibodies/immunology , Cell Line , Cell Line, Tumor , Cell Proliferation , Cell Survival , Gene Expression Profiling , Gene Expression Regulation , Immunoglobulin G/immunology , Mice , Multiple Myeloma/pathology , Recombinant Proteins/biosynthesis
4.
J Colloid Interface Sci ; 260(2): 332-8, 2003 Apr 15.
Article in English | MEDLINE | ID: mdl-12686183

ABSTRACT

Protein adsorption at gas-liquid interfaces is important in a number of processes including foam formation in bioreactors, foam fractionation for protein recovery, and production of protein based food and drinks. The physical properties of the gas-liquid interface will influence foam stability; important properties will include both surface rheological and electrokinetic properties. While surface rheological properties of gas-protein solution interfaces have been reported, there are no published values for electrokinetic properties at such interfaces. In this paper, zeta potential values of gas bubbles in solutions of three proteins, measured using a microelectrophoresis technique, are reported. The three proteins chosen were BSA, beta-casein, and lysozyme; these proteins have all been used previously in protein foaming studies. The effect of protein concentration and ionic strength is considered. For BSA and beta-casein, zeta potential was found to increase with increasing protein concentration and ionic strength. For air bubbles in lysozyme solutions, measured zeta potential was zero. zeta potential values for air bubbles in some binary protein mixtures are also presented.


Subject(s)
Air , Proteins/chemistry , Adsorption , Animals , Caseins/chemistry , Cattle , Electrophoresis/methods , Muramidase/chemistry , Serum Albumin, Bovine/chemistry , Solutions , Static Electricity , Surface Tension
5.
Biotechnol Bioeng ; 79(4): 398-407, 2002 Aug 20.
Article in English | MEDLINE | ID: mdl-12115403

ABSTRACT

Animal cells are cultured in several types of vessels at laboratory and industrial scale the most common being the stirred tank and the air-lift. Economically, it is preferable to culture animal cells at the largest possible scale but the perceived sensitivity of animal cells to hydrodynamic shear has, until now, limited the aeration and agitation rates used. This has been reported to cause inhomogeneities in operational parameters such as dissolved oxygen concentration, temperature and pH. pH is of special interest during the latter stages of many animal cell fermentation because alkali additions, used for pH control, can cause large local pH perturbations of varying size and duration. The effect of single and multiple pH perturbations on the cell growth of a widely used GS-NS0 mouse myeloma cell line grown in batch culture was investigated. The effect of perturbation amplitude and duration was investigated using a single stirred tank reactor (STR). In the single STR system cells were subjected to one pH 8.0 or 9.0 perturbation ranging in duration from 0-90 minutes. No measurable decrease in viable cell number was seen for pH 8.0 perturbations of any duration whereas pH 9.0 perturbations lasting for 10 minutes caused a 15% decrease in viable cell number. The proportion of viable cells decreased with increasing perturbation time and a 90-minute exposure killed all of the cells. The effect of multiple pH perturbations on GS-NS0 cells was investigated using two connected STR's. More specifically the number of perturbations and the perturbation frequency were investigated. Cells were subjected to between 0 and 100 perturbations at pH 8.0; the time between each perturbation (frequency) was 6 minutes and each perturbation lasted for 200 seconds. Viable cell number decreased with increasing perturbation number, with 100 perturbations causing death of 27.5% of cells. Cells were also exposed to 10 perturbations at pH 9.0, each of 200 second duration at frequencies of either 6, 18 or 60 minutes. Approximately 8 times more cells were killed with perturbations at a 6-minute frequency (28.3% cell death) than at a 60-minute frequency (3.4% cell death).


Subject(s)
Multiple Myeloma/pathology , Tumor Cells, Cultured/metabolism , Tumor Cells, Cultured/pathology , Animals , Antibodies/metabolism , Apoptosis/physiology , Bioreactors , Cell Cycle/physiology , Cell Division/physiology , Cell Survival/physiology , Fermentation , Hydrogen-Ion Concentration , Mice , Periodicity , Pilot Projects , Sensitivity and Specificity
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