微囊化K562细胞生长周期及代谢特性的研究

以K562细胞为模型,分别进行微囊化和游离培养,运用流式细胞术考察两种培养体系下细胞周期和生长代谢变化;建立数学模型,模拟了两种培养体系下细胞的生长活性和代谢特性。实验发现：微囊化培养过程中的K562细胞处于DNA合成期（S期）的百分含量显著高于游离培养,并且细胞保持较高的增殖活性。模型计算表明,所建模型动力学参数能够很好地描述微囊化和游离两种培养体系下细胞的代谢情况;对细胞活性的理论计算表明,微囊化的细胞具有较高的增殖和代谢活性,同时细胞能够较长时间保持此活性;模型参数表明,两种培养体系下,葡萄糖对细胞生长的影响无显著差别 (k^Free_L≈k^APA_L),乳酸对游离培养细胞的生长具有明显抑制作用,但对微囊化培养细胞抑制作用较小(kFreeL>≈kAPAL)。     

Hybridoma growth and antibody production as a function of cell density and specific growth rate in perfusion culture

Steady state metabolic parameters for hybridoma cell line H22 were determined over a wide range of cell densities and specific growth rates in a filtration based homogeneous perfusion reactor. Operating the reactor at perfusion rates of 0.75, 2.0, and 2.9 day(-1)(each at four different specific growth rates), viable cell densities as high as 2 x 10(7) cells/mL were obtained. For the cell line under investigation, the specific monoclonal antibody production rate was found to be a strong function of the viable cell density, increasing with increasing cell density. In contrast, most of the substrate consumption and product formation rates were strong functions of the specific growth rate. Substrate metabolism became more efficient at high cell densities and low specific growth rates. The Specific rates of metabolite formation and the apparent yields of lactate from glucose and ammonia from glutamine decreased at low specific growth rates and high cell densities. While the specific oxygen consumption rate was independent of the specific growth rate and cell density, ATP production was more oxidative at lower specific growth rate and higher cell density. These observed shifts are strong indications of the production potential of high-density perfusion culture. (c) 1995 John Wiley & Sons, Inc.     

Kinetic modeling of batch hydrogen production process by mixed anaerobic cultures

The kinetics of batch anaerobic hydrogen production by mixed anaerobic cultures was systemically investigated in this study. Unstructured models were used to describe the substrate utilization, biomass growth and product formation in the hydrogen production process. The relationship between the substrate, biomass and products were also evaluated. Experimental results show that the Michaelis-Menten equation, Logistic model and modified Gompertz equation all could be adopted to respectively describe the kinetics of substrate utilization, biomass growth and product formation. Furthermore, the relationship between the acidogenic products and biomass was simulated by Luedeking-Piret model very well. The experimental results suggest that the formation of hydrogen and the main aqueous products, i.e., butyrate and acetate, was all growth-associated.     

A kinetic model for product formation of microbial and mammalian cells

Growth of microbial and mammalian cells can be classified into substrate-limited and substrate-sufficient growth according to the relative availability of the substrate (carbon and energy source) and other nutrients. It has been observed for a number of microbial and mammalian cells that the consumption rate of substrate and energy (ATP) is generally higher under substratesufficient conditions than under substrate limitation. Accordingly, the product formation under substrate excess often exhibits different patterns from those under substrate limitation. The extent of increase or decrease in product formation may depend not only on the nature of limitation and cell growth rate but also on the residual substrate concentration in a relatively wide range. The product formation kinetic models existing in literature cannot describe these effects. In this study, the Luedeking-Piret kinetic is extended to include a term describing the effect of residual substrate concentration. The extended model has a similar structure to the kinetic model for substrate and energy consumption rate recently proposed by Zeng and Deckwer. The applicability of the extended model is demonstrated with three microbial cultures for the production of primary metabolites and three hybridoma cell cultures for the production of ammonia and lactic acid over a wide range of substrate concentration. The model describes the product formation in all these cultures satisfactorily. Using this model, the range of residual substrate concentration, in which the product formation is affected, can be quantitatively assessed. (c) 1995 John Wiley & Sons, Inc.     

Kinetic model for biotransformation of digitoxin in plant cell suspension culture ofDigitalis lanata

Batch suspension cultures ofDigitalis lanata plant cell were performed to investigate the biotransformation of digitoxin.Digitalis lanata K3OHD plant cells were used to biotransform digitoxin into deacetyllanatoside C. A kinetic model was proposed to describe cell growth, substrate consumption, depletion of digitoxin, formation and depletion of digoxin and purpureaglycoside A, and formation of deacetyllanatoside C. The digoxin and purpureaglycoside A are intermediates of deacetyllanatoside C formation from digitoxin. Interactions between extracellular and intracellular compounds were considered. The proposed model could accurately predict cell growth, substrate consumption and product synthesis. And it can provide a useful framework for quantitative analysis of biotransformation in a plant cell culture system.     

Kinetics and modelling of cell growth and substrate uptake inCentella asiatica cell culture

In this study, we have conducted kinetics and modelling studies ofCentella asiatica cell growth and substrate uptake, in an attempt to evaluate cell growth for a better understanding and control of the process. In our bioreactor cultivation experiment, we observed a growth rate of 0.18/day, a value only 20% higher than was seen in the shake flask cultivation trial. However, the observed maximum cell dry weight in the shake flask, 10.5 g/L, was 14% higher than was achieved in the bioreactor. Ninety seven percentage confidence was achieved via the fitting of three unstructured growth models; the Monod, Logistic, and Gompertz equations, to the cell growth data. The Monod equation adequately described cell growth in both cultures. The specific growth rate, however, was not effectively predicted with the Logistic and Gompertz equations, which resulted in deviations of up to 73 and 393%, respectively. These deviations in the Logistic and Gompertz models may be attributable to the fact that these models were developed for substrate-independent growth and fungi growth, respectively.     

Dynamic modeling of immobilized cell reactor: application to ethanol fermentation

A mathematical model has been developed for the unsteady-state operation of an immobilized cell reactor. The substrate solution flows through a mixed-flow reactor in which cells immobilized in gel beads are retained. The substrate diffuses from the external surface of the gel beads to some internal location where reaction occurs. The product diffuses from the gel beads into liquid medium which flows out of the reactor. The model combines simultaneous diffusion and reaction, as well as cell growth, and it can predict how the rates of substrate consumption, product formation, and cell growth vary with time and with initial conditions. Ethanol fermentation was chosen as a representative reaction in the immobilized cell reactor, and numerical calculations were carried out. Excellent agreement was observed between model predictions and experimental data available in the literature.     

A dynamic model linking cell growth to intracellular metabolism and extracellular by-product accumulation

Mathematical modeling of animal cell growth and metabolism is essential for the understanding and improvement of the production of biopharmaceuticals. Models can explain the dynamic behavior of cell growth and product formation, support the identification of the most relevant parameters for process design, and significantly reduce the number of experiments to be performed for process optimization. Few dynamic models have been established that describe both extracellular and intracellular dynamics of growth and metabolism of animal cells. In this study, a model was developed, which comprises a set of 33 ordinary differential equations to describe batch cultivations of suspension AGE1.HN.AAT cells considered for the production of α1-antitrypsin. This model combines a segregated cell growth model with a structured model of intracellular metabolism. Overall, it considers the viable cell concentration, mean cell diameter, viable cell volume, concentration of extracellular substrates, and intracellular concentrations of key metabolites from the central carbon metabolism. Furthermore, the release of metabolic by-products such as lactate and ammonium was estimated directly from the intracellular reactions. Based on the same set of parameters, this model simulates well the dynamics of four independent batch cultivations. Analysis of the simulated intracellular rates revealed at least two distinct cellular physiological states. The first physiological state was characterized by a high glycolytic rate and high lactate production. Whereas the second state was characterized by efficient adenosine triphosphate production, a low glycolytic rate, and reactions of the TCA cycle running in the reverse direction from α-ketoglutarate to citrate. Finally, we show possible applications of the model for cell line engineering and media optimization with two case studies.     

谷氨酰胺对微囊化重组CHO细胞生长代谢及内皮抑素表达的影响

微囊化技术是一种有发展潜力的生物技术,在细胞移植和药物控释等方面具有广泛的应用。然而由于目前微囊化细胞规模化培养技术还不成熟,阻碍了其在临床治疗中的推广与应用。为了了解微囊化重组CHO细胞的生长代谢特性为今后规模化培养优化提供技术参考,考察了主要氮源物质谷氨酰胺对微囊化重组CHO细胞生长代谢及内皮抑素表达的影响。结果显示:当谷氨酰胺起始浓度从2.69mmolL增加到9.05mmolL时最大活细胞密度并没有增高,细胞增殖没有显著差异。当谷氨酰胺起始浓度较低(2.69mmolL)时,葡萄糖的比消耗速率较大;当谷氨酰胺起始浓度增高时(7.91mmolL～9.05mmolL)葡萄糖和谷氨酰胺的比消耗速率增大,但细胞对葡萄糖和谷氨酰胺的利用率降低。谷氨酰胺对产物表达有显著影响,起始浓度为4.97mmolL时的内皮抑素累积浓度最高,达546.36ngmL,过低和过高谷氨酰胺起始浓度下内皮抑素的累积浓度均较低。     

Mathematical description of bikaverin production in a fluidized bed bioreactor

Summary  Growth of Gibberella fujikuroi in submerged cultures occurs as micelles or filamentous hyphae dispersed in fluid and pellets or stable, spherical agglomerations. Gibberella fujikuroi growth, substrate consumption and bikaverin production kinetics obtained from submerged batch fermentation were fitted to three different sigmoid models: two and three-parameter Gompertz models and one Logistic model. Growth fitting was used to compare between models and select the best one by means of an F test. The best model for describing growth was the two-parameter Gompertz model and was used for glucose consumption and bikaverin production fitting. Data from eight different schemes of fermentations were analysed and parameter estimation was carried out by means of minimization of residual sum of squares. Some characteristic values obtained with the two-parameter Gompertz model fit are: μ=0.028 h⁻¹, Y_x/s=0.1089 g substrate/g biomass, α =0.1384 g product/g biomass.     

Modeling of Xanthophyllomyces dendrorhous growth on glucose and overflow metabolism in batch and fed-batch cultures for astaxanthin production

An astaxanthin-producing yeast Xanthophyllomyces dendrorhous ENM5 was cultivated in a liquid medium containing 50 g/L glucose as the major carbon source in stirred fermentors (1.5-L working volume) in fully aerobic conditions. Ethanol was produced during the exponential growth phase as a result of overflow metabolism or fermentative catabolism of glucose by yeast cells. After accumulating to a peak of 3.5 g/L, the ethanol was consumed by yeast cells as a carbon source when glucose in the culture was nearly exhausted. High initial glucose concentrations and ethanol accumulation in the culture had inhibitory effects on cell growth. Astaxanthin production was partially associated with cell growth. Based on these culture characteristics, we constructed a modified Monod kinetic model incorporating substrate (glucose) and product (ethanol) inhibition to describe the relationship of cell growth rate with glucose and ethanol concentrations. This kinetic model, coupled with the Luedeking-Piret equation for the astaxanthin production, gave satisfactory prediction of the biomass production, glucose consumption, ethanol formation and consumption, and astaxanthin production in batch cultures over 25-75 g/L glucose concentration ranges. The model was also applied to fed-batch cultures to predict the optimum feeding scheme (feeding glucose and corn steep liquor) for astaxanthin production, leading to a high volumetric yield (28.6 mg/L) and a high productivity (5.36 mg/L/day).     

Dynamics and stability analysis of the growth and astaxanthin production system of Haematococcus pluvialis

This paper investigated high cell density cultivation of Haematococcus pluvialis for astaxanthin production in 3.7-L bioreactors. A biomass concentration of 2.74 g L⁻¹and an astaxanthin yield of 64.4 mg L⁻¹ were obtained. Based on the experimental results, a new and simple dynamic model is proposed, differing from Monod kinetics, to describe cell growth, product formation and substrate consumption. Good agreement was found between the model predictions and experimental data. The model revealed that there was cell growth inhibition on product formation and product feedback compensation for substrate consumption, but no substrate inhibition or product inhibition of cell growth. Stability analysis demonstrated that no multiplicity of steady states was observed; the unique positive steady state was locally asymptotically stable; and the effect of dilution rate on steady states was greater than that of the initial substrate concentration. Received 23 February 1999/ Accepted in revised form 08 June 1999     

A continuous multistage roller reactor for animal cell culture: 1. Patterns of growth,production and catabolism of a murine hybridoma

A Tubular Liquid Film Reactor was designed as a model system to transfer a batch culture kinetic to a continuous cascade. Cell density, product formation and substrate consumption rates were followed during fermentation at two dilution rates. In spite of the high dilution rates effective in each segment by itself high cell densities of up to 10⁷ cells/ml were achieved due to cell sedimentation. The model character of the reactor was taken to determine critical values of substrate concentrations that influence production rates and result in an adaptation of metabolism.Abbreviations TLFR tubular liquid film reactor     

In situ growth and activity and modes of penetration of Escherichia coli in unconsolidated porous materials.

Statistically reliable data on the in situ rates of growth, substrate consumption, and product formation are required to test the validity of the mathematical models developed for microbially enhanced oil recovery and in situ bioremediation processes. A simple, replicable porous-core system that could be aseptically divided into sections at various times was developed to follow the kinetics of microbial growth and metabolism in situ. This core system was used to study the kinetics of growth and the mode of penetration of strains of Escherichia coli through anaerobic, nutrient-saturated, fine Ottawa sand (permeability of 7.0 microns2 and porosity of 37%) under static conditions. The in situ rate of growth of a wild-type, motile, chemotactic strain, RW262, was two times slower inside cores than it was in liquid cultures. The mode of metabolism of galactose by strain RW262 was not altered inside cores, as acetate was the only product detected either inside the cores or in liquid cultures. Without applied advective force, strain RW262 grew exponentially and moved through cores at a rate of about 0.1 m/day. The cell population moved through cores in a band-like fashion, as the front of the moving cells consisted of high cell concentrations (greater than 10(5) cells per ml). Until the breakthrough of the cells occurred, galactose consumption and acetate production were observed only in the proximal sections of the core, showing that the cell propagation preceded the complete depletion of the substrate or the accumulation of large amounts of products.(ABSTRACT TRUNCATED AT 250 WORDS)     

Enhancement and modeling of microparticle-added <Emphasis Type="Italic">Rhizopus oryzae</Emphasis> lactic acid production

Lactic acid has a wide industrial application area and can be produced by fungal strains. However, excessive bulk growth form of fungi during the fermentations is a major problem, which limits the fermentation performance. Microparticles are excellent tools to prevent bulk fungal growth and provide homogenized fermentation broth to increase uniformity and the prediction performance of the models. Therefore, in this study, addition of aluminum oxide and talcum microparticles into fermentations was evaluated to enhance the production of lactic acid by Rhizopus oryzae. The results showed that the bulk fungal growth was prevented and the lactic acid concentration increased from 6.02 to 13.88 and 24.01 g/L, when 15 g/L of aluminum oxide or 10 g/L of talcum was used, respectively, in the shake-flask fermentations. Additionally, substrate concentration, pH, and agitation were optimized in the bioreactors using response surface methodology, and optimum values were determined as 126 g/L of glucose, 6.22 pH, and 387 rpm, respectively. Under these conditions, lactic acid production further increased to 75.1 ± 1.5 g/L with 10 g/L of talcum addition. Also, lactic acid production and glucose consumption in the batch fermentation were successfully modeled with modified Gompertz model and modified logistic model. RMSE and MAE values for lactic acid production were calculated as 2.279 and 1.498 for the modified Gompertz model; 3.6 and 4.056 for the modified logistic model. Additionally, modified logistic model predicted glucose consumption with ?2.088 MAE and 2.868 RMSE, whereas these values were calculated as 2.035 and 3.946 for the modified Gompertz model.     

蓝色犁头霉深层发酵产壳低聚糖生长动力学研究

目的:研究蓝色犁头霉产壳低聚糖分批发酵动力学的模型.方法:在10L发酵罐中,将蓝色犁头霉分批发酵培养,对蓝色犁头霉菌丝体生长、产物形成和基质消耗的实验数据进行分析,根据Logistic和Luedeking-Piret方程分别建立蓝色犁头霉发酵过程菌体生长、壳低聚糖生成和基质消耗的动力学数学模型,并利用1stOpt软件对模型参数进行非线性曲线拟合.结果:研究得到了菌体生长、产物合成及基质消耗的动力学模型及参数,模型的拟合度分别为0.994、0.986、0.992.结论:研究表明蓝色犁头霉多糖合成和菌体生长呈生长偶联型,模型计算值与实验值有良好的拟合性,模型准确度较高.     

Predictive macroscopic modeling of cell growth,metabolism and monoclonal antibody production: Case study of a CHO fed-batch production

We describe a systematic approach to establish predictive models of CHO cell growth, cell metabolism and monoclonal antibody (mAb) formation during biopharmaceutical production. The prediction is based on a combination of an empirical metabolic model connecting extracellular metabolic fluxes with cellular growth and product formation with mixed Monod-inhibition type kinetics that we generalized to every possible external metabolite. We describe the maximum specific growth rate as a function of the integral viable cell density (IVCD). Moreover, we also take into account the accumulation of metabolites in intracellular pools that can influence cell growth. This is possible even without identification and quantification of these metabolites as illustrated with fed-batch cultures of Chinese Hamster Ovary (CHO) cells producing a mAb. The impact of cysteine and tryptophan on cell growth and cell productivity was assessed, and the resulting macroscopic model was successfully used to predict the impact of new, untested feeding strategies on cell growth and mAb production. This model combining piecewise linear relationships between metabolic rates, growth rate and production rate together with Monod-inhibition type models for cell growth did well in predicting cell culture performance in fed-batch cultures even outside the range of experimental data used for establishing the model. It could therefore also successfully be applied for in silico prediction of optimal operating conditions.     

A model that links growth and secondary metabolite production in plant cell suspension cultures

Plant cell suspensions of grape cells (Vitis vinifera L. cv. Gamay Fréaux) were grown in shake flasks operated both in the batch and semicontinuous mode. A mathematical model was developed to describe grape cell growth, sucrose uptake, and secondary metabolite (anthocyanin) production. Parameters were estimated from batch studies data. The model was able to predict results for semicontinuous experiments by only modifying the value of four of these parameters. The modified parameters (maximum specific rate of biomass production, maximum specific rate of substrate consumption for maintenance, maximum specific rate of anthocyanin production, and degradation constant of anthocyanins) were related to the kinetics rather than to the yield of the process. The model introduces the concept of primary and secondary metabolism substrate concentration-dependent competition for precursors. Further, the model was able to predict the evolution of the cell system when substrate is scarce, as the value of the different kinetic constants determines the portion of substrate that is used for biomass production, secondary metabolite production, and cell maintenance. (c) 1995 John Wiley & Sons, Inc.     

A simple kinetic model for myeloma cell culture with consideration of lysine limitation

A simple kinetic model is developed to describe the dynamic behavior of myeloma cell growth and cell metabolism. Glucose, glutamine as well as lysine are considered as growth limiting substrates. The cell growth was restricted as soon as the extracellular lysine is exhausted and then intracellular lysine becomes a growth limiting substrate. In addition, a metabolic regulator model together with the Monod model is used to deal with the growth lag phase after inoculation or feeding. By using these models, concentrations of substrates and metabolites, as well as densities of viable and dead cells are quantitatively described. One batch cultivation and two fed-batch cultivations with pulse feeding of nutrients are used to validate the model.