Error propagation from prime variables into specific rates and metabolic fluxes for mammalian cells in perfusion culture

Error propagation from prime variables into specific rates and metabolic fluxes was quantified for high‐concentration CHO cell perfusion cultivation. Prime variable errors were first determined from repeated measurements and ranged from 4.8 to 12.2%. Errors in nutrient uptake and metabolite/product formation rates for 5–15% error in prime variables ranged from 8–22%. The specific growth rate, however, was characterized by higher uncertainty as 15% errors in the bioreactor and harvest cell concentration resulted in 37.8% error. Metabolic fluxes were estimated for 12 experimental conditions, each of 10 day duration, during 120‐day perfusion cultivation and were used to determine error propagation from specific rates into metabolic fluxes. Errors of the greater metabolic fluxes (those related to glycolysis, lactate production, TCA cycle and oxidative phosphorylation) were similar in magnitude to those of the related greater specific rates (glucose, lactate, oxygen and CO₂ rates) and were insensitive to errors of the lesser specific rates (amino acid catabolism and biosynthesis rates). Errors of the lesser metabolic fluxes (those related to amino acid metabolism), however, were extremely sensitive to errors of the greater specific rates to the extent that they were no longer representative of cellular metabolism and were much less affected by errors in the lesser specific rates. We show that the relationship between specific rate and metabolic flux error could be accurately described by normalized sensitivity coefficients, which were readily calculated once metabolic fluxes were estimated. Their ease of calculation, along with their ability to accurately describe the specific rate‐metabolic flux error relationship, makes them a necessary component of metabolic flux analysis. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009     

Metabolic flux analysis of hybridoma continuous culture steady state multiplicity.

Physiological state multiplicity was observed in continuous cultures of the hybridoma cell line ATCC CRL-1606 cultivated in glutamine-limited steady state chemostats. At the same dilution rate (0.04 h-1), two physiologically different cultures were obtained which exhibited similar growth rates and viabilities but drastically different cell concentrations (7.36 x 10(5) and 1.36 x 10(6) cells/mL). Metabolic flux analysis conducted using metabolite and gas exchange rate measurements revealed a more efficient culture for the steady state with the higher cell concentration, as measured by the fraction of pyruvate carbon flux shuttled into the TCA cycle for energy generation. The low-efficiency steady state was achieved after innoculation by growing the cells in a nutrient rich environment, first in batch mode followed by a stepwise increase of the dilution rate to its set point at 0.04 h-1. The high-efficiency steady state was achieved by reducing the dilution rate to progressively lower values to 0.01 h-1 resulting in conditions of stricter nutrient limitation. The high energetic efficiency attained under such conditions was preserved upon increasing the chemostat dilution rate back to 0.04 h-1 with a higher nutrient consumption, resulting in approximate doubling of the steady state cell concentration. This metabolic adaptation is unlikely due to favorable genetic mutations and could be implemented for improving cell culture performance by inducing cellular metabolic shifts to more efficient flux distribution patterns.     

Multiplicity of Steady States in Glycolysis and Shift of Metabolic State in Cultured Mammalian Cells

Cultured mammalian cells exhibit elevated glycolysis flux and high lactate production. In the industrial bioprocesses for biotherapeutic protein production, glucose is supplemented to the culture medium to sustain continued cell growth resulting in the accumulation of lactate to high levels. In such fed-batch cultures, sometimes a metabolic shift from a state of high glycolysis flux and high lactate production to a state of low glycolysis flux and low lactate production or even lactate consumption is observed. While in other cases with very similar culture conditions, the same cell line and medium, cells continue to produce lactate. A metabolic shift to lactate consumption has been correlated to the productivity of the process. Cultures that exhibited the metabolic shift to lactate consumption had higher titers than those which didn’t. However, the cues that trigger the metabolic shift to lactate consumption state (or low lactate production state) are yet to be identified. Metabolic control of cells is tightly linked to growth control through signaling pathways such as the AKT pathway. We have previously shown that the glycolysis of proliferating cells can exhibit bistability with well-segregated high flux and low flux states. Low lactate production (or lactate consumption) is possible only at a low glycolysis flux state. In this study, we use mathematical modeling to demonstrate that lactate inhibition together with AKT regulation on glycolysis enzymes can profoundly influence the bistable behavior, resulting in a complex steady-state topology. The transition from the high flux state to the low flux state can only occur in certain regions of the steady state topology, and therefore the metabolic fate of the cells depends on their metabolic trajectory encountering the region that allows such a metabolic state switch. Insights from such switch behavior present us with new means to control the metabolism of mammalian cells in fed-batch cultures.     

Comparative metabolic analysis of lactate for CHO cells in glucose and galactose

t-PA producing CHO cells have been shown to undergo a metabolic shift when the culture medium is supplemented with a mixture of glucose and galactose. This metabolic change is characterized by the reincorporation of lactate and its use as an additional carbon source. The aim of this work is to understand lactate metabolism. To do so, Chinese hamster ovary cells were grown in batch cultures in four different conditions consisting in different combinations of glucose and galactose. In experiments supplemented with glucose, only lactate production was observed. Cultures with glucose and galactose consumed glucose first and produced lactate at the same time, after glucose depletion galactose consumption began and lactate uptake was observed. Comparison of the metabolic state of cells with and without the shift by metabolic flux analysis show that the metabolic fluxes distribution changes mostly in the reactions involving pyruvate metabolism. When not enough pyruvate is being produced for cells to support their energy requirements, lactate dehydrogenase complex changes the direction of the reaction yielding pyruvate to feed the TCA cycle. The slow change from high fluxes during glucose consumption to low fluxes in galactose consumption generates intracellular conditions that allow the influx of lactate. Lactate consumption is possible in cell cultures supplemented with glucose and galactose due to the low rates at which galactose is consumed. Evidence suggests that an excessive production and accumulation of pyruvate during glucose consumption leads to lactate production and accumulation inside the cell. Other internal conditions such as a decrease in internal pH, forces the flow of lactate outside the cell. After metabolic shift the intracellular pool of pyruvate, lactate and H⁺ drops permitting the reversal of the monocarboxylate transporter direction, therefore leading to lactate uptake. Metabolic analysis comparing glucose and galactose consumption indicates that after metabolic shift not enough pyruvate is produced to supply energy metabolism and lactate is used for pyruvate synthesis. In addition, MFA indicates that most carbon consumed during low carbon flux is directed towards maintaining energy metabolism.     

Monoclonal antibody productivity and the metabolic pattern of perfusion cultures under varying oxygen tensions

The metabolic pattern and cell culture kinetics of high-cell-density perfusion cultures were compared under two different oxygen transfer conditions: oxygen limiting and not limiting. When oxygen was a limiting factor during perfusion culture, both specific glucose uptake and lactate production rates increased, compared to non-oxygen-limited condition, by about 60% and 30%, respectively. The specific glutamine uptake rate under oxygen-limited conditions was almost 4.0 times higher than that under non-oxygen-limited conditions. The activity of lactate dehydrogenase (LDH) released into the medium by the dead cells can be used as an indicator for the metabolic and physiological conditions related to oxygen limitation. There was a 3.2 times higher specific rate of LDH activity released by dead cells in oxygen-limited cultures than those in non-oxygen-limited cultures. The specific production rate of monoclonal antibody was not significantly affected by the oxygen transfer conditions during the rapid cell growth period, but it rapidly increased toward the end of perfusion cultures. The higher perfusion rate may have limited further cell growth during high-cell-density perfusion culture, because cell damage was caused by the hydrodynamic shear within a hollow fiber microfiltration cartridge installed to withdraw the spent medium and the waste metabolites. (c) 1993 John Wiley & Sons, Inc.     

Fermentor temperature as a tool for control of high-density perfusion cultures of mammalian cells

Temperature is a key environmental variable whose potential in animal cell fermentor optimization is not yet fully utilized. The scarce literature data suggests that reduced fermentor temperature results in an improved viability and shear resistance, higher cell density and titer in batch cultures, and reduction in glucose/lactate metabolism. Due to the arrest of the cells in the G1 phase, the specific growth rate was found to decrease at temperatures below 37.0 degrees C. The response of the specific production rate was cell line dependent: in some cases it increased 2-to-3-fold, but decreased in other cases. The controlable slowdown of cell metabolism at lower temperature can be used in optimization of perfusion mammalian cell cultures with several potential advantages, including higher cell density in oxygen limited reactors, lower perfusion rate, improved product quality, simplified pH control, and others. To evaluate this strategy, a series of long-term experiments in 15 L perfusion bioreactors culturing recombinant hamster cells at 20.0 x 10(6) cells/mL were conducted. The temperature was changed over a range of set points, and maintained at each of these for a long period of time. Steady state process data was collected and analyzed. The effect of temperature on the following characteristics of the perfusion process was studied: cell growth, glucose/lactate metabolism, glutamine/ammonia metabolism, cell respiration, cell density at constant oxygen transfer rate, proteolytic activity, and product quality (glycosylation and molecule fragmentation). The results suggest that temperature is a variable with a significant potential in optimization of perfusion cultures. Properly selected temperature set point will contribute to the overall improvement of process performance. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 328-338, 1997.     

Stoichiometric interpretation of Escherichia coli glucose catabolism under various oxygenation rates.

Metabolic by-product secretion is commonly observed in oxygen-limited cultures. Oxygen limitations occur because of limits in the capacity of the respiratory system or because of the oxygenation limits of the cultivation method used. The latter restriction is of considerable practical importance since it results in a critical cell concentration above which oxygenation is insufficient, leading to by-product secretion. In this study we used a flux balance approach to determine optimal metabolic performance of Escherichia coli under variable oxygen limitations. This method uses linear optimization to find optimal metabolic flux patterns with respect to cell growth. Cell growth was defined as precursor requirements on the basis of a composition analysis. A growth-associated maintenance requirement of 23 mmol of ATP per g of biomass and a non-growth-associated maintenance value of 5.87 mmol at ATP per g (dry weight)-h were incorporated on the basis of a comparison with experimental data. From computations of optimal growth increased oxygen limitations were found to result in the secretion of acetate, formate, and ethanol in that order. Consistent with the experimental data in the literature, by-product secretion rates increased linearly with the growth rate. The computed optimal growth under increasing oxygen limitation revealed four critical growth rates at which changes in the by-product secretion pattern were observed. Concomitant with by-product secretion under oxygen limitations were changes in metabolic pathway utilization. The shifts in metabolism were characterized by changes in the metabolic values (computed as shadow prices) of the various redox carriers. The redox potential was thus identified as a likely trigger that leads to metabolic shifts.2+ ă     

Production and engineering of terpenoids in plant cell culture

Terpenoids are a diverse class of natural products that have many functions in the plant kingdom and in human health and nutrition. Their chemical diversity has led to the discovery of over 40,000 different structures, with several classes serving as important pharmaceutical agents, including the anticancer agents paclitaxel (Taxol) and terpenoid-derived indole alkaloids. Many terpenoid compounds are found in low yield from natural sources, so plant cell cultures have been investigated as an alternate production strategy. Metabolic engineering of whole plants and plant cell cultures is an effective tool to both increase terpenoid yield and alter terpenoid distribution for desired properties such as enhanced flavor, fragrance or color. Recent advances in defining terpenoid metabolic pathways, particularly in secondary metabolism, enhanced knowledge concerning regulation of terpenoid accumulation, and application of emerging plant systems biology approaches, have enabled metabolic engineering of terpenoid production. This paper reviews the current state of knowledge of terpenoid metabolism, with a special focus on production of important pharmaceutically active secondary metabolic terpenoids in plant cell cultures. Strategies for defining pathways and uncovering rate-influencing steps in global metabolism, and applying this information for successful terpenoid metabolic engineering, are emphasized.     

The response of the rat liver to normobaric hypoxia stimulated in vivo and in vitro

The metabolic features of the rat liver were studied in artificial homeostasis conditions, using an isolated perfused organ as a model. The metabolism of the liver isolated from an intact rat and perfused with a normobaric hypoxic medium was compared with that of a liver that was isolated from a rat preliminarily kept in a chamber to simulate hypoxia of the total body and perfused using a medium with a normal oxygen content. The functional activity of the liver was assessed by portal pressure; oxygen consumption; and carbon dioxide gas, urea, glucose, and lactate contents in the perfusion medium. Metabolic changes in the perfused liver during oxygen deficiency became detectable at the same time point after exposure regardless of the method used to experimentally simulate hypoxia. This finding directly points to the metabolic autonomy of the liver.     

Toxic NMDA-Receptor Activation Occurs During Recovery in a Tissue Culture Model of Ischemia

Abstract: In some animal models of reversible ischemia, there is a therapeutic window during early recovery when glutamate receptor antagonists can rescue neurons from injury. We have previously reported that organotypic cultures of the hippocampus can be protected by NMDA-receptor antagonists during recovery from a brief period of simulated ischemia. To model ischemia, we have used potassium cyanide to inhibit oxidative metabolism and 2-deoxyglucose to inhibit glycolysis. To study the time course and mechanisms of delayed NMDA-receptor toxicity in more detail, we have extended these studies to dissociated cortical cultures. Injury was assessed by release of lactate dehydrogenase into the culture medium. Metabolic inhibition for 15 min caused dose-dependent injury. Morphologic signs of neuronal toxicity were delayed until the recovery period. MK-801 reduced injury significantly when present throughout the experiment. Surprisingly, MK-801 provided the same protection when administration was delayed until after the end of the metabolic inhibition, blocking NMDA receptors only during recovery. To examine NMDA toxicity during metabolic inhibition, the competitive NMDA-receptor antagonist 3-(2-carboxypiperazin-4-yl)propyl-1-phosphonic acid was added during exposure. The protective effect of NMDA-receptor blockade was completely lost if the antagonist was removed during 1 min of continuing selective inhibition of oxidative metabolism. The toxic potency and effectiveness of glutamate were enhanced during metabolic inhibition, showing that receptors were not inactivated by simulated ischemia. These results are consistent with the specific hypothesis that return of oxidative metabolism triggers a critical period of toxic NMDA-receptor activation.     

Metabolic characterization of a hyper-productive state in an antibody producing NS0 myeloma cell line

Metabolic profiling or metabolomics is the analysis of a larger number of small metabolic compounds within cells. While this technique has been utilized to study microbial and yeast strains under different physiochemical conditions, very little has been reported regarding its application in mammalian cell culture. Here, the physiological and metabolic changes observed during the proliferation arrest of an antibody producing GS-NS0 mouse myeloma cell line were studied using conventional biochemical analysis and one-dimensional nuclear magnetic resonance (NMR)-based metabolic profiling. Proliferation-arrested cells had increased antibody productivity, enhanced normalized mitochondrial membrane potential, and showed changes in the consumption of several amino acids. Further investigation into these physiological changes was carried out by ¹H NMR profiling followed by principle component analysis (PCA). The resulting data showed a clear separation of the arrested and control spectra that related to the altered metabolic state of the arrested culture. Metabolites associated with phosphatidylcholine homeostasis, lipid and fatty acid metabolism, and ascorbate formation were found to be present in significant amount in these cultures. Taken together, the results suggested that there was a link between the metabolic alterations and the hyper-productive state, possibly relating to vesicle recycling and secretory functions, and mechanism to counteract against the generation of reactive oxygen species. While the use of metabolic profiling is still in its infancy, its potential to enhance the understanding of physiological processes in mammalian cell lines used for antibody production is certain.     

Energy state of hepatocytes of fed rats isolated by the means of EDTA and vibration

The energy state of mitochondria in fed rat hepatocytes isolated by the use of non-enzymatic method including liver perfusion with an EDTA-containing solution with a further mild mechanical effect of tissue fragments by vibration has been studied. The isolation procedure used permits to obtain significant amounts of hepatocytes whose viability is not less than 80%. The endogenous respiration rate (10-15 nm O2/min.mln cells) is slightly stimulated by succinate. In the course of incubation in a balanced salt medium, the cells accumulate ATP and the lipophilic cation, tetraphenylphosphonium. Data from the inhibitory analysis testify to the fact that tetraphenylphosphonium accumulation reflects the membrane potential of intact cell mitochondria, which are in a metabolic state similar to state 3.     

Vero细胞微载体不同培养方法的评价

对三种不同培养方法进行细胞生长速度、密度、营养及代谢产物浓度的比较分析,以优化和筛选最佳培养条件与方式。用同体积生物反应罐,基本培养条件相同,采用批培养、再循环培养、灌流培养三种方式进行了Vero细胞微载体（CytodexI）的周期培养。三种培养方法均达到预期效果,最终细胞密度分别为每毫升2.09×10     

8-Oxo-2′-deoxyguanosine ameliorates features of metabolic syndrome in obese mice

Metabolic syndrome describes a group of clinical features that together increase the incidence of coronary artery disease, stroke and type 2 diabetes. Insulin resistance is a major risk factor for developing metabolic syndrome. A chronic state of inflammation accompanies the accumulation of surplus lipids in adipose and liver tissue, frequently involved in insulin resistance. 8-Oxo-2′-deoxyguanosine (8-Oxo-dG) is a potent anti-inflammatory agent that inactivates both Rac1 and Rac2 which are critical to initiating the inflammatory responses in various cell types, including macrophages. In this study, we explored whether 8-Oxo-dG suppressed a series of systemic inflammatory cascades, resulting in the amelioration of typical features of metabolic syndrome in obese mice. The results demonstrate that 8-Oxo-dG effectively improved hyperglycemia, dyslipidemia and fatty liver changes in obese mice. The level of biochemical markers indicative of systemic inflammation were reduced in 8-Oxo-dG treated mice, whereas serum levels of adiponectin, a crucial factor associated with improved metabolic syndrome, were enhanced. Our results demonstrate that 8-Oxo-dG effectively disrupts the pathogenesis of insulin resistance and obesity-associated metabolic syndrome.     

Metabolic flux analysis of embryonic stem cells using three distinct differentiation protocols and comparison to gene expression patterns

Metabolic flux analysis (MFA) was performed on mouse embryonic stem cells cultured under three distinct differentiation conditions: classical embryoid body formation (EB), and on surfaces coated with either gelatin (GEL) or matrigel (MAT). MFA was based on 15 metabolic reactions and eight transport steps, and was carried out based on measurements of four substrates and/or metabolites: glucose, lactate, glutamine, and glutamate. Fluxes representing biomass production remained fairly constant for all three culture conditions with at most a 40% variation. In contrast, major temporal variations, up to 500%, were observed for all other major central metabolic fluxes across all culture conditions. Fluxes were compared to gene-expression patterns measured by microarray analysis. Particularly interesting is the correlation between the metabolic fluxes with expression patterns of the corresponding genes of the pyruvate to lactate reaction, whereby the genes for several isoforms of the lactate dehydrogenase enzyme were examined. The patterns of this flux were notably different in the EB cultures compared to the GEL and MAT cultures and reflected differences in oxygen and nutrient transport in EB vs. the GEL and MAT cultures. Another novel finding of this study is an event occurring between Days 4 and 5 of differentiation, which was identified by a notable change in both the metabolic fluxes and gene-expression patterns. This suggests that metabolic patterns can be used as effective beacons of changes in differentiating stem cells. Overall, and qualitatively, core metabolic fluxes, under the three culture conditions examined, correlated well with gene-expression patterns.     

Metabolic flux analysis of CHO cells in perfusion culture by metabolite balancing and 2D [13C, 1H] COSY NMR spectroscopy

The physiological state of CHO cells in perfusion culture was quantified by determining fluxes through the bioreaction network using ¹³C glucose and 2D-NMR spectroscopy. CHO cells were cultivated in a 2.5 L perfusion bioreactor with glucose and glutamine as the primary carbon and energy sources. The reactor was inoculated at a cell density of 8×10⁶ cells/mL and operated at ～10×10⁶ cells/mL using unlabeled glucose for the first 13 days. The second phase lasted 12 days and the medium consisted of 10% [U-¹³C]glucose, 40% labeled [1-¹³C]glucose with the balance unlabeled. After the culture attained isotopic steady state, biomass samples from the last 3 days of cultivation were considered representative and used for flux estimation. They were hydrolyzed and analyzed by 2D [¹³C, ¹H] COSY measurements using the heteronuclear single quantum correlation sequence with gradients for artifacts suppression. Metabolic fluxes were determined using the 13C-Flux software package by minimizing the residuals between the experimental and the simulated NMR data. Normalized residuals exhibited a Gaussian distribution indicating good model fit to experimental data. The glucose consumption rate was 5-fold higher than that of glutamine with 41% of glucose channeled through the pentose phosphate pathway. The fluxes at the pyruvate branch point were almost equally distributed between lactate and the TCA cycle (55% and 45%, respectively). The anaplerotic conversion of pyruvate to oxaloacetate by pyruvate carboxylase accounted for 10% of the pyruvate flux with the remaining 90% entering the TCA cycle through acetyl-CoA. The conversion of malate to pyruvate catalyzed by the malic enzyme was 70% higher than that for the anaplerotic reaction catalyzed by pyruvate carboxylase. Most amino acid catabolic and biosynthetic fluxes were significantly lower than the glycolytic and TCA cycle fluxes. Metabolic flux data from NMR analysis validated a simplified model where metabolite balancing was used for flux estimation. In this reduced flux space, estimates from these two methods were in good agreement. This simplified model can routinely be used in bioprocess development experiments to estimate metabolic fluxes with much reduced analytical investment. The high resolution flux information from 2D-NMR spectroscopy coupled with the capability to validate a simplified metabolite balancing based model for routine use make ¹³C-isotopomer analysis an attractive bioprocess development tool for mammalian cell cultures.     

The influence of experimentally generated turbulence on the Mash01 unicellular Microcystis aeruginosa strain

Phytoplankton experience a continuously changing fluid environment and the response to this is reflected at individual and community levels. The large-scale motions of winds, waves and artificial circulations are coupled by turbulence to the viscous small-scale environment of the phytoplankton cell. To investigate the significance of turbulence in the ecology of Microcystis aeruginosa, cultures were exposed to turbulent conditions using a vertically oscillating grid for a period of 7 days under controlled laboratory conditions. M. aeruginosa was exposed to a range of turbulent intensities, by adjusting the frequency of oscillation from 1 to 4 Hz. To improve the resolution of scale between turbulence phenomena and phytoplankton, flow cytometry and fluorescent probes were used to assess the response of M. aeruginosa. Metabolic activity and cell viability were monitored daily in both the turbulent cultures and quiescent control cultures using the FDA and Sytox green fluorescent probes, respectively. Initially, low turbulence levels generated by the grid at frequencies of 1 and 2 Hz stimulated metabolic activity, and did not affect cell viability compared to the control quiescent cultures. However, higher levels of turbulence generated by the grid at frequencies of 3 and 4 Hz were deleterious to metabolic activity and viability. Metabolic activity significantly decreased and over 85 % of cells were nonviable after 96 h at a grid oscillation of 4 Hz. It was concluded that due to the long lag time (>96 h) and high intensities needed to exert a deleterious effect, small-scale turbulence is unlikely to be a significant factor controlling M. aeruginosa compared to large scale motion which lead to changes in light and nutrient conditions.     

Influence of medium exchange schedules on metabolic, growth, and GM-CSF secretion rates of genetically engineered NIH-3T3 cells.

The metabolic and secretory characteristics of NIH-3T3 fibroblasts transfected with a cDNA encoding human granulocyte-macrophage colony stimulating factor (GM-CSF) were examined as a function of the culture medium exchange schedule. The rates of glucose and glutamine consumption and of lactate and ammonia production were measured over exchange schedules ranging from complete medium replacement weekly (1/week) to complete medium replacement daily (7/week). All measured metabolic rates increased with increased medium exchange rates and accelerated sharply between exchange rates of 3.5/week and 7/week. The lactate/glucose and ammonia/glutamine yield coefficients, however, remained invariant at about 1.9 and 1.0 mol/mol, respectively, under all medium perfusion conditions. A shift-up in medium perfusion rates from 3.5/week to 7/week resulted in increased metabolic rates that resembled those observed in the cultures that were exchanged at the 7/week rate throughout, showing that the metabolic rates could be directly controlled by the perfusion rate. Differential regulation of medium versus serum perfusion demonstrated that increased NIH-3T3 cell metabolism was directly proportional to the serum flux to which the cells were exposed. Thus a limiting serum component is responsible for the altered metabolic and growth rates. The GM-CSF production by the transfected 3T3 cells was stable but exhibited substantial transient increases during periods of cell proliferation, demonstrating that the secretion of transfected gene products can be highly modulated even when the cDNA is driven from a constitutive promoter. These studies show that the metabolic and secretory behavior of genetically engineered cells is influenced by the medium exchange schedule.     

ETA: Robust software for determination of cell specific rates from extracellular time courses

Accurate quantification of cell specific rates and their uncertainties is of critical importance for assessing metabolic phenotypes of cultured cells. We applied two different methods of regression and error analysis to estimate specific metabolic rates from time‐course measurements obtained in exponentially growing cell cultures. Using simulated data sets to compute specific rates of growth, glucose uptake, and lactate excretion, we found that Gaussian error propagation from prime variables to the final calculated rates was the most accurate method for estimating parameter uncertainty. We incorporated this method into a MATLAB‐based software package called Extracellular Time‐Course Analysis (ETA), which automates the analysis workflow required to (i) compute cell specific metabolic rates and their uncertainties; (ii) test the goodness‐of‐fit of the experimental data to the regression model; and (iii) rapidly compare the results across multiple experiments. ETA was used to estimate the uptake or excretion rate of glucose, lactate, and 18 different amino acids in a B‐cell model of c‐Myc‐driven cancer. We found that P493‐6 cells with High Myc expression increased their specific uptake of glutamine, arginine, serine, lysine, and branched‐chain amino acids by two‐ to threefold in comparison to low Myc cells, but exhibited only modest increases in glucose uptake and lactate excretion. By making the ETA software package freely available to the scientific community, we expect that it will become an important tool for rigorous estimation of specific rates required for metabolic flux analysis and other quantitative metabolic studies. Biotechnol. Bioeng. 2013; 110: 1748–1758. © 2013 Wiley Periodicals, Inc.