A model of interorganelle monoclonal antibody transport and secretion in mouse hybridoma cells

Analysis of the immunoglobulin G (IgG) secretion efficiency in recombinant Chinese hamster ovary (CHO) cells by using Citrine-fusion IgG

Biopharmaceuticals represented by immunoglobulin G (IgG) are produced by the cultivation of recombinant animal cells, especially Chinese hamster ovary (CHO) cells. It is thought that the intracellular secretion process of IgG is a bottleneck in the production of biopharmaceuticals. Many studies on the regulation of endogenous secretory protein expression levels have shown improved productivity. However, these strategies have not universally improved the productivity of various proteins. A more rational and efficient establishment of high producer cells is required based on an understanding of the secretory processes in IgG producing CHO cells. In this study, a CHO cell line producing humanized IgG1, which was genetically fused with fluorescent proteins, was established to directly analyze intracellular secretion. The relationship between the amount of intracellular and secreted IgG was analyzed at the single cell level by an automated single-cell analysis and isolation system equipped with dual color fluorescent filters. The amounts of intracellular and secreted IgG showed a weak positive correlation. The amount of secreted IgG analyzed by the system showed a weak negative linear correlation with the specific growth of isolated clones. An immunofluorescent microscopy study showed that the established clones could be used to analyze the intracellular secretion bottleneck. This is the first study to report the use of fluorescent protein fusion IgG as a tool to analyze the secretion of recombinant CHO cells.

Glycosylation flux analysis reveals dynamic changes of intracellular glycosylation flux distribution in Chinese hamster ovary fed-batch cultures

N-linked glycosylation of proteins has both functional and structural significance. Importantly, the glycan structure of a therapeutic protein influences its efficacy, pharmacokinetics, pharmacodynamics and immunogenicity. In this work, we developed glycosylation flux analysis (GFA) for predicting intracellular production and consumption rates (fluxes) of glycoforms, and applied this analysis to CHO fed-batch immunoglobulin G (IgG) production using two different media compositions, with and without additional manganese feeding. The GFA is based on a constraint-based modeling of the glycosylation network, employing a pseudo steady state assumption. While the glycosylation fluxes in the network are balanced at each time point, the GFA allows the fluxes to vary with time by way of two scaling factors: (1) an enzyme-specific factor that captures the temporal changes among glycosylation reactions catalysed by the same enzyme, and (2) the cell specific productivity factor that accounts for the dynamic changes in the IgG production rate. The GFA of the CHO fed-batch cultivations showed that regardless of the media composition, galactosylation fluxes decreased with the cultivation time more significantly than the other glycosylation reactions. Furthermore, the GFA showed that the addition of Mn, a cofactor of galactosyltransferase, has the effect of increasing the galactosylation fluxes but only during the beginning of the cultivation period. The results thus demonstrated the power of the GFA in delineating the dynamic alterations of the glycosylation fluxes by local (enzyme-specific) and global (cell specific productivity) factors.

Enhanced antibody production of human-human hybridomas by retinoic acid

The enhancement of human monoclonal antibody production by retinoic acid (RA) was evaluated usingthe human-human hybridoma cell line BD9 underserum-free culture condition. The amount of humanIgG secreted by BD9 hybriodmas was enhanced abouteight-fold by treatment with 10(-7) M of RA for 4days. Northern blot analysis showed that both mRNAlevels of the IgG light and heavy chains were markedlyincreased by RA when compared with control without RAtreatment. On the other hand, it was found thatcontinuous treatment of cells with RA was not alwaysrequired to exhibit the enhancing effect, suggestingthat RA may act as a trigger for IgG gene expression. The comparison between extra- and intracellular IgGamounts by immunoblot analysis suggests that thesecretion rate of IgG may be accelerated by RAtreatment. These results suggest that RA may be aneffective culture additive for efficient production ofhuman monoclonal antibody using human-humanhybridomas.

Modeling and measuring intracellular fluxes of secreted recombinant protein in Pichia pastoris with a novel 34S labeling procedure

Background

The budding yeast Pichia pastoris is widely used for protein production. To determine the best suitable strategy for strain improvement, especially for high secretion, quantitative data of intracellular fluxes of recombinant protein are very important. Especially the balance between intracellular protein formation, degradation and secretion defines the major bottleneck of the production system. Because these parameters are different for unlimited growth (shake flask) and carbon-limited growth (bioreactor) conditions, they should be determined under "production like" conditions. Thus labeling procedures must be compatible with minimal production media and the usage of bioreactors. The inorganic and non-radioactive ³⁴S labeled sodium sulfate meets both demands.

Results

We used a novel labeling method with the stable sulfur isotope ³⁴S, administered as sodium sulfate, which is performed during chemostat culivations. The intra- and extracellular sulfur 32 to 34 ratios of purified recombinant protein, the antibody fragment Fab3H6, are measured by HPLC-ICP-MS. The kinetic model described here is necessary to calculate the kinetic parameters from sulfur ratios of consecutive samples as well as for sensitivity analysis. From the total amount of protein produced intracellularly (143.1 μg g^-1 h^-1 protein per yeast dry mass and time) about 58% are degraded within the cell, 35% are secreted to the exterior and 7% are inherited to the daughter cells.

Conclusions

A novel ³⁴S labeling procedure that enables in vivo quantification of intracellular fluxes of recombinant protein under "production like" conditions is described. Subsequent sensitivity analysis of the fluxes by using MATLAB, indicate the most promising approaches for strain improvement towards increased secretion.

An empirical modeling platform to evaluate the relative control discrete CHO cell synthetic processes exert over recombinant monoclonal antibody production process titer

In this study we have combined empirically derived mathematical models of intracellular Mab synthesis to quantitatively compare the degree to which individual cellular processes limit recombinant IgG(4) monoclonal antibody production by GS-CHO cells throughout a state-of-the-art industrial fed-batch culture process. Based on the calculation of a production process control coefficient for each stage of the intracellular Mab synthesis and secretion pathway, we identified the major cellular restrictions on Mab production throughout the entire culture process to be recombinant heavy chain gene transcription and heavy chain mRNA translation. Surprisingly, despite a substantial decline in the rate of cellular biomass synthesis during culture, with a concomitant decline in the calculated rate constants for energy-intensive Mab synthetic processes (Mab folding/assembly and secretion), these did not exert significant control of Mab synthesis at any stage of production. Instead, cell-specific Mab production was maintained by increased Mab gene transcription which offset the decline in cellular biosynthetic rates. Importantly, this study shows that application of this whole-process predictive modeling strategy should rationally precede and inform cell engineering approaches to increase production of a recombinant protein by a mammalian host cell--where control of productivity is inherently protein product and cell line specific.

Combination of the 2A/furin technology with an animal component free cell line development platform process

The recently described 2A/furin technology combines both chains of the antibody in a single open reading frame. Upon translation and secretion, the peptide is processed by the cell to generate native fully functional IgG antibodies. Here, we describe the results of an evaluation study of this technology for an industrial CHO cell line development process. The 2A/furin expression cassette setup was combined with a Novartis vector system. A transfection, selection, and cloning procedure in chemically defined media was established at Novartis and applied for a monoclonal test antibody. The productivity of 2A/furin-vector-derived clones in non-optimized generic shake flask fed-batch models was in a comparable range with clones derived from the reference control vector. Higher clonal production stability was seen for the majority of clones generated with the 2A/furin technology compared to the clones generated with the reference control vector. Product quality was analyzed by SDS-PAGE and no significant difference was detected between the two systems. Thus, it was shown that the 2A/furin technology can be successfully combined with a Novartis CHO expression system and platform. Due to the single ORF setup, the 2A/furin technology may therefore offer a suitable approach to reduce vector size and complexity.

Modeling assembly, aggregation, and chaperoning of immunoglobulin G production in insect cells

A model for immunoglobulin G (IgG) production in the baculovirus-insect cell system was developed that incorporates polypeptide synthesis, oligomer assembly, protein aggregation, and protein secretion. In addition, the capacity of a chaperone to protect heavy and light chain polypeptides from protein aggregation was considered by including in vitro chaperone-peptide binding and dissociation kinetic constants from the literature. Model predictions were then compared to experiments in which the chaperone immunoglobulin heavy chain binding protein, BiP, was coexpressed by coinfecting insect cells with BiP-containing baculovirus. The model predicted a nearly twofold increase in intracellular and secreted IgG that was similar to the behavior observed experimentally after approximately 3 days of coexpressing heterologous IgG and BiP. However, immunoglobulin aggregation was still significant in both the model simulation and experiments, so the model was then used to predict the effect of strategies for improving IgG production even further. Increasing expression of the chaperone BiP by 10-fold over current experimental levels provided a 2.5-fold increase in secreted IgG production over IgG assembly without BiP. Alternatively, the expression of BiP earlier in the baculovirus infection cycle achieved a twofold increase in protein secretion without requiring excessive BiP production. The potential effect of cochaperones on BiP activity was considered by varying the BiP binding and release constants. The utilization of lower binding and release kinetic constants led to a severalfold increase in IgG secretion because the polypeptides were protected from aggregation for greater periods. An optimized strategy for chaperone action would include the rapid peptide binding of a BiP-ATP conformation along with the slow peptide release of a BiP-ligand conformation. However, even with an optimized chaperoning system, limitations in the secretion kinetics can result in the accumulation of intracellular IgG. Thus, the entire secretory pathway must be considered when enhanced secretion of heterologous proteins is desired.

A mathematical model to derive N-glycan structures and cellular enzyme activities from mass spectrometric data

Effective representation and characterization of biosynthetic pathways of glycosylation can be facilitated by mathematical modeling. This paper describes the expansion of a previously developed detailed model for N-linked glycosylation with the further application of the model to analyze MALDI-TOF mass spectra of human N-glycans in terms of underlying cellular enzyme activities. The glycosylation reaction network is automatically generated by the model, based on the reaction specificities of the glycosylation enzymes. The use of a molecular mass cutoff and a network pruning method typically limits the model size to about 10,000 glycan structures. This allows prediction of the complete glycan profile and its abundances for any set of assumed enzyme concentrations and reaction rate parameters. A synthetic mass spectrum from model-calculated glycan profiles is obtained and enzyme concentrations are adjusted to bring the theoretically calculated mass spectrum into agreement with experiment. The result of this process is a complete characterization of a measured glycan mass spectrum containing hundreds of masses in terms of the activities of 19 enzymes. In addition, a complete annotation of the mass spectrum in terms of glycan structure is produced, including the proportions of isomers within each peak. The method was applied to mass spectrometric data of normal human monocytes and monocytic leukemia (THP1) cells to derive glycosyltransferase activity changes underlying the differences in glycan structure between the normal and diseased cells. Model predictions could lead to a better understanding of the changes associated with disease states, identification of disease-associated biomarkers, and bioengineered glycan modifications.

Hyperosmotic Stress in Murine Hybridoma Cells: Effects on Antibody Transcription, Translation, Posttranslational Processing, and the Cell Cycle

Mechanisms for increased antibody production in batch cultures of murine hybridoma cells in response to hyperosmotic stress were investigated. The rates of immunoglobulin transcription and protein translation and posttranslational processing were determined in control and hyperosmotic cultures. Changes in immunoglobulin transcription played a minor role in the increase in antibody production in response to hyperosmotic stress. In contrast, protein translation increased substantially in response to osmotic stress. However, the antibody translation rate remained relatively constant after correcting for the overall increase in protein translation. Cell size and intracellular antibody pool also increased in response to hyperosmolarity. The intracellular antibody pool increased proportionately with the increase in cell size, indicating that hyperosmotic cultures do not selectively increase their intracellular antibody population. Changes in cell cycle distribution in response to osmotic stress and the relationship between the cell cycle and antibody production were also evaluated. Hyperosmotic stress altered the cell cycle distribution, increasing the fraction of the cells in S-phase. However, this change was uncorrelated with the increase in antibody production rate. Immunoglobulin degradation was relatively low ( approximately 15%) and remained largely unchanged in response to hyperosmotic stress. There was no apparent increase in immunoglobulin stability as a result of osmotic stress. Antibody secretion rates increased approximately 50% in response to osmotic stress, with a commensurate increase in the antibody assembly rate. The rate of transit through the entire posttranslational processing apparatus increased, particularly for immunoglobulin light chains. The levels of endoplasmic reticulum chaperones did not increase as a fraction of the total cellular protein but were increased on a per cell basis as the result of an increase in total cellular protein. A difference in the interactions between the immunoglobulin heavy chains and BiP/GRP78 was observed in response to hyperosmotic conditions. This change in interaction may be correlated with the decrease in transit time through the posttranslational pathways. The increase in the posttranslational processing rate appears to be commensurate with the increase in antibody production in response to hyperosmotic stress.

Dynamic analysis of GS-NS0 cells producing a recombinant monoclonal antibody during fed-batch culture

In this study we have analyzed the dynamic covariation of the mammalian cell proteome with respect to functional phenotype during fed-batch culture of NS0 murine myeloma cells producing a recombinant IgG(4) monoclonal antibody. GS-NS0 cells were cultured in duplicate 10 L bioreactors (36.5 degrees C, 15% DOT, pH 7.0) for 335 h and supplemented with a continuous feed stream after 120 h. Cell-specific growth rate declined continuously after 72 h of culture. Cell-specific recombinant monoclonal antibody production rate (qP) varied sixfold through culture. Whilst qP correlated with relative recombinant heavy chain mRNA abundance up to 216 h, qP subsequently declined, independent of recombinant heavy chain or light chain mRNA abundance. GS-NS0 cultures were sampled at 48 h intervals between 24 and 264 h of culture for proteomic analyses. Total protein abundance and nascent polypeptide synthesis was determined by 2D PAGE of unlabeled proteins visualized by SYPRO Ruby and autoradiography of (35)S-labeled polypeptides, respectively. Covariation of nascent polypeptide synthesis and abundance with biomass-specific cell growth, glucose and glutamate consumption, lactate and Mab production rates were then examined using two partial least squares regression models. Most changes in polypeptide synthesis or abundance for proteins previously identified by mass spectrometry were positively correlated with biomass-specific growth rate. We conclude that the substantial transitions in cell physiology and qP that occur during culture utilize a relatively constant complement of the most abundant host cell machines that vary primarily with respect to induced changes in cell growth rate.

Hybrid semi-parametric mathematical systems: bridging the gap between systems biology and process engineering

Systems biology is an integrative science that aims at the global characterization of biological systems. Huge amounts of data regarding gene expression, proteins activity and metabolite concentrations are collected by designing systematic genetic or environmental perturbations. Then the challenge is to integrate such data in a global model in order to provide a global picture of the cell. The analysis of these data is largely dominated by nonparametric modelling tools. In contrast, classical bioprocess engineering has been primarily founded on first principles models, but it has systematically overlooked the details of the embedded biological system. The full complexity of biological systems is currently assumed by systems biology and this knowledge can now be taken by engineers to decide how to optimally design and operate their processes. This paper discusses possible methodologies for the integration of systems biology and bioprocess engineering with emphasis on applications involving animal cell cultures. At the mathematical systems level, the discussion is focused on hybrid semi-parametric systems as a way to bridge systems biology and bioprocess engineering.

ACSD labelling and magnetic cell separation: a rapid method of separating antibody secreting cells from non-secreting cells

Several new ways of selecting cells have recently been developed. These include magnetic separation of cells by labelling with magnetic beads against the recombinant product, gel microdrop technology which encapsulates the cells in gelatine beads and matrix-based secretion assays. Affinity capture surface display (ACSD) is a matrix-based assay for the enrichment of high producing cells and relies on the strong affinity between biotin and avidin derivatives. Matrix-based assays have previously only been used for the enrichment of recombinant cells. Here, we have optimised this assay and developed a method of separating antibody producing cells from non-producing cells in a recombinant myeloma cell line using ACSD combined with MACS magnetic separation. The method is rapid, simple enough to become routine and adaptable to many different secreted products from recombinant mammalian cells.

Genome-wide analysis of the transcriptional response of murine hybridomas to osmotic shock

Hyperosmotic stress has been shown to increase specific antibody productivity in murine hybridoma systems; however, the mechanisms underlying this phenomenon are still poorly understood. To elucidate the mechanisms for this phenomenon as well as other physiological changes that occur in response to hyperosmotic stress, we performed a genome-wide analysis of the transcriptional response of murine hybridoma OKT3 toward hyperosmotic stress using DNA microarrays. GeneChip MOE430A from Affymetrix was used to determine the differences in transcription patterns between OKT3 in hyperosmotic culture (approximately 100 mOsm above control) and control culture. The chip contains 22,690 probe sets for over 14,000 known genes and more than 4,000 ESTs. Signals were normalized using the GC-RMA algorithm and the effectiveness of hyperosmotic stress in altering the expression of each gene was evaluated using one-way ANOVA. 2,793 probe sets on the chip were differentially expressed with a P < 0.05. Among them, 349 probe sets exhibited a two-fold or greater change (with 202 up-regulated and 147 down-regulated) at one or more time points. Within the 215 characterized, differentially expressed genes, many are involved in metabolism/catabolism (19 induced, 12 repressed), cell-cycle regulation (10 induced, 5 repressed) and apoptosis (8 induced, 2 repressed), regulation of transcription (18 induced, 13 repressed) and translation (2 induced, 2 repressed), transport and signaling pathways (24 induced, 12 repressed). Surprisingly, there were very few changes within the stress-response genes. Interestingly, the transcription levels of both the immunoglobulin kappa and lambda light chains showed a significant change in response to hyperosmotic stress, although there is no detectable lambda chain in the immunoglobulin produced in this cell line. Quantitative PCR assays with TaqMan probes were applied to selected genes to validate the results obtained from microarray analysis.

Investigation of protein patterns in mammalian cells and culture supernatants by matrix-assisted laser desorption/ionization mass spectrometry

The direct protein profiling of mammalian cells and bacteria has a growing influence in biotechnology as a high information bearing method for characterization of cells and cell states. Monitoring of proteins excreted in culture media not only serves to produce data on product yield and quality but provides important information on cell viability and nutrient supply that forms the basis for future process and expression optimization. Fast and simple MALDI mass spectrometry approaches were developed to efficiently characterize such complex biological systems. Several mammalian cell lines including CHO DXB11, CHOSSF3, and hybridomas were investigated; the lysis process, the sample pretreatment, and the matrix preparation were optimized for MALDI conditions. Initial experiments to observe the success of protein translation in gene expression experiments were performed. Using MALDI-compatible detergents, it was possible to extend the mass range detectable by MALDI mass spectrometry from the current range of 16,000 to 75,000 Da. In this mass range, the data are complementary (offering a better mass accuracy) to those obtained by SDS-PAGE electrophoresis experiments. These new methods were used to monitor a large-scale cultivation of hybridoma cells expressing an antibody of the IgG type. The increase in whole antibody and antibody light-chain protein, 8650 Da, and the decrease of insulin were followed during the monitoring period. Quantitative measurements of the IgG level during the cultivation compared favorably with those obtained by affinity HPLC.

Modelling hybridoma cell growth and metabolism--a comparison of selected models and data

Unstructured models for cell growth (cell specific growth and death rate) and metabolism (cell specific substrate uptake and metabolite production rates) of hybridoma cell lines were compared with special respect to significance, analytical error and range of validity. The diversity of the unstructured models cited reveals their mostly descriptive character compared to structured models. Bearing in mind this limited knowledge, empirical models can still serve as a valuable tool for process design. For understanding of the cell metabolism itself they might have been overemphasized in the past. For proper model design, care has to be taken to cover the whole range of process conditions. In particular if a process is to be run at very low substrate and high metabolite concentrations, chemostat cultures which have mostly been used for the model formulations, are not sufficient and have to be completed by, for example, fed-batch cultures.

Optimizing antibody production in batch hybridoma cell culture

Optimizing productivity by hybridoma cells relies partly on developing suitable methods for screening and selection of high producing cultures and on understanding regulation of antibody production. In this study, the behavior of hybridoma cells in batch culture was investigated using flow cytometry, and a simple model for antibody production was used to explain production data obtained from these cultures. Surface antibody fluorescence values were found to closely follow the decreasing trend of specific antibody secretion rate over the course of several batch cultures. Therefore, for the hybridoma cell lines studied here (ATCC HB124 and TIB138), surface immunofluorescence levels can be used to select high producing cells as well as to monitor culture productivity. Surface and intracellular antibody fluorescence values were also found to be correlated for cells exhibiting a bimodal distribution with respect to intracellular antibody content. The population of cells containing a bimodal distribution with respect to intracellular antibody content. The population of cells containing lower levels of intracellular antibody was determined to secrete significantly less antibody than the population possessing high intracellular antibody concentrations. Factors which influence antibody production rates and possible strategies for optimizing monoclonal antibody yield are discussed.

Modeling of cell culture processes

Models of cell processes can be particularly useful in simulating, optimizing and controlling cell culture systems. Models reported in the literature are of various degrees of biological structure and mathematical complexity and describe cell growth, death, metabolism, and product formation, alone or in combination with each other. This paper reviews these modeling efforts, discusses their results, potential and limitations, and identifies areas where future modeling studies may be especially valuable.

Evidence for posttranscriptional stimulation of monoclonal antibody secretion by l-glutamine during slow hybridoma growth

The addition of 5-40 mM L-glutamine to batch cultures of a murine hybridoma following the cessation of rapid growth significantly stimulated monoclonal antibody (mAb) synthesis and secretion per cell. Stimulation of mAb secretion following the cessation of rapid growth was also observed in response to addition of mitochondrial intermediates of glutamate oxidation and was not found to be the result of release of transiently stored mAb. Less than 1% of the secreted mAb was detected by ELISA in isolated hybridoma lysosomes. This stimulation was posttranscriptional and not the result of enhancement of levels of mAb mRNAs or stabilization of heavy (H) or light (L) chain encoding message. Sub-inhibitory levels of lysosomotrophic weak bases stimulated release of lysosomal contents but did not result in release of intact or partially degraded mAb. Inhibition of aspartic proteinase activity secreted by the hybridoma did not enhance mAb secretion even though a high level of mAb degrading proteinase activity was continuously secreted during both rapid and slow growth. These responses indicate that during slow growth, the addition of L-glutamine increases the availability of cellular ATP generated by mitochondrial respiration which stimulates some posttranscriptional step in the pathway of mAb secretion such as the rate of H or L chain translation, chain assembly, interorganelle transport or vesicular transport from the Golgi to the cell membrane.