Microarray platform affords improved product analysis in mammalian cell growth studies

High throughput (HT) platforms serve as a cost‐efficient and rapid screening method for evaluating the effect of cell‐culture conditions and screening of chemicals. We report the development of a HT cell‐based microarray platform to assess the effect of culture conditions on Chinese hamster ovary (CHO) cells. Specifically, growth, transgene expression and metabolism of a GS/methionine sulphoximine (MSX) CHO cell line, which produces a therapeutic monoclonal antibody, was examined using a microarray system in conjunction with a conventional shake flask platform in a non‐proprietary medium. The microarray system consists of 60‐nL spots of cells encapsulated in alginate and separated in groups via an 8‐well chamber system attached to the chip. Results show the non‐proprietary medium developed allows cell growth, production, and normal glycosylation of recombinant antibody and metabolism of the recombinant CHO cells in both the microarray and shake flask platforms. In addition, 10.3 mM glutamate addition to the defined base medium results in lactate metabolism shift in the recombinant GS/MSX CHO cells in the shake flask platform. Ultimately, the results demonstrate that the HT microarray platform has the potential to be utilized for evaluating the impact of media additives on cellular processes, such as cell growth, metabolism, and productivity.     

RNA interference technology to improve recombinant protein production in Chinese hamster ovary cells

RNA interference (RNAi) technology has become a novel tool for silencing gene expression in cells or organisms, and has also been used to develop new therapeutics for certain diseases. This review describes its other application of using RNAi technology to increase cellular productivity and the quality of recombinant proteins that are produced in Chinese hamster ovary (CHO) cells, the most important mammalian cell line used in producing licensed biopharmaceuticals in these days. The approaches reported include the silencing of apoptosis-associated gene expression, protein glycosylation-associated gene expression, lactate dehydrogenase involved in cellular metabolism, and dihydrofolate reductase used for gene amplification. All of these works belong to the single component approach therefore depends strongly on the identification of the down-regulation of the critical target gene which can markedly influence the cellular functions associated with recombinant protein expression in CHO cells. Future RNAi approaches can be extended to silence multiple targets involved in different cellular pathways for changing the global gene regulation in cells, as well as the targets related to microRNA molecules for cellular self regulation.     

Profiling highly conserved microrna expression in recombinant IgG‐producing and parental Chinese hamster ovary cells

MicroRNAs (miRNAs) play important roles in global gene regulation. Researchers in recombinant protein production have proposed miRNAs as biomarkers and cell engineering targets. However, miRNA expression remains understudied in Chinese Hamster Ovary cells, one of the most commonly used host cell systems for therapeutic protein production. To profile highly conserved miRNA expression, we used the miRCURY? miRNA array for screening miRNAs in CHO cells. The selection criteria for further miRNA profiling included positive hybridization signals and experimentally validated predicted regulatory targets. On the basis of screening, we selected 16 miRNAs for quantitative RT‐PCR profiling. We profiled miR expression in parental CHO DG44 and CHO K1 cell lines as well as four recombinant DG44‐derived CHO lines producing a recombinant human IgG. We observed that miR‐221 and miR‐222 were significantly downregulated in all IgG‐producing cell lines when compared with parental DG44, whereas miR‐125b was significantly downregulated in one IgG‐producing line. In another IgG‐producing line, miR‐19a was significantly upregulated. miRNA expression was also profiled in two of these lines that were amplified by stepwise increase of methotrexate. In both amplified cell lines, let‐7b and miR‐221 were significantly downregulated. In parental CHO K1, let‐7b, miR‐15b, and miR‐17 were significantly downregulated when compared with DG44. The results reported here are the first steps toward profiling highly conserved miRNAs and studying the clonal difference in miRNA expression in CHO cells and may shed light on using miRNAs in cell engineering. © 2011 American Institute of Chemical Engineers Biotechnol. Prog., 2011     

Effect of copper sulfate on performance of a serum-free CHO cell culture process and the level of free thiol in the recombinant antibody expressed

A recombinant Chinese hamster ovary (CHO) cell line was used to express a humanized antibody. Product quality analysis of this humanized antibody showed the presence of free thiol, due to unpaired cysteine residues in the Fab region. Decreased potency of this thiol Fab made it critical to minimize the levels of free thiol. In an effort to do this, we evaluated the effect of copper sulfate addition to the cell culture production medium. As a component of the production medium, copper sulfate can act as an oxidizing agent, thereby facilitating disulfide bond formation. Four concentrations of copper sulfate were added at the beginning of 2-L benchtop production cultures of the recombinant CHO cell line: 0, 5, 50, and 100 microM. We found that these copper sulfate additions had no effect on cell growth or antibody production. However, a slight dose-dependent depression in culture viability was observed. Analysis of the purified antibody showed that either the 50 or 100 microM copper sulfate additions reduced the level of free thiol by more than 10-fold.     

Improving the efficiency of CHO cell line generation using glutamine synthetase gene knockout cells

Although Chinese hamster ovary (CHO) cells, with their unique characteristics, have become a major workhorse for the manufacture of therapeutic recombinant proteins, one of the major challenges in CHO cell line generation (CLG) is how to efficiently identify those rare, high‐producing clones among a large population of low‐ and non‐productive clones. It is not unusual that several hundred individual clones need to be screened for the identification of a commercial clonal cell line with acceptable productivity and growth profile making the cell line appropriate for commercial application. This inefficiency makes the process of CLG both time consuming and laborious. Currently, there are two main CHO expression systems, dihydrofolate reductase (DHFR)‐based methotrexate (MTX) selection and glutamine synthetase (GS)‐based methionine sulfoximine (MSX) selection, that have been in wide industrial use. Since selection of recombinant cell lines in the GS‐CHO system is based on the balance between the expression of the GS gene introduced by the expression plasmid and the addition of the GS inhibitor, L‐MSX, the expression of GS from the endogenous GS gene in parental CHOK1SV cells will likely interfere with the selection process. To study endogenous GS expression's potential impact on selection efficiency, GS‐knockout CHOK1SV cell lines were generated using the zinc finger nuclease (ZFN) technology designed to specifically target the endogenous CHO GS gene. The high efficiency (～2%) of bi‐allelic modification on the CHO GS gene supports the unique advantages of the ZFN technology, especially in CHO cells. GS enzyme function disruption was confirmed by the observation of glutamine‐dependent growth of all GS‐knockout cell lines. Full evaluation of the GS‐knockout cell lines in a standard industrial cell culture process was performed. Bulk culture productivity improved two‐ to three‐fold through the use of GS‐knockout cells as parent cells. The selection stringency was significantly increased, as indicated by the large reduction of non‐producing and low‐producing cells after 25 µM L‐MSX selection, and resulted in a six‐fold efficiency improvement in identifying similar numbers of high‐productive cell lines for a given recombinant monoclonal antibody. The potential impact of GS‐knockout cells on recombinant protein quality is also discussed. Biotechnol. Bioeng. 2012; 109:1007–1015. © 2011 Wiley Periodicals, Inc.     

Combining mechanistic and data‐driven approaches to gain process knowledge on the control of the metabolic shift to lactate uptake in a fed‐batch CHO process

A growing body of knowledge is available on the cellular regulation of overflow metabolism in mammalian hosts of recombinant protein production. However, to develop strategies to control the regulation of overflow metabolism in cell culture processes, the effect of process parameters on metabolism has to be well understood. In this study, we investigated the effect of pH and temperature shift timing on lactate metabolism in a fed‐batch Chinese hamster ovary (CHO) process by using a Design of Experiments (DoE) approach. The metabolic switch to lactate consumption was controlled in a broad range by the proper timing of pH and temperature shifts. To extract process knowledge from the large experimental dataset, we proposed a novel methodological concept and demonstrated its usefulness with the analysis of lactate metabolism. Time‐resolved metabolic flux analysis and PLS‐R VIP were combined to assess the correlation of lactate metabolism and the activity of the major intracellular pathways. Whereas the switch to lactate uptake was mainly triggered by the decrease in the glycolytic flux, lactate uptake was correlated to TCA activity in the last days of the cultivation. These metabolic interactions were visualized on simple mechanistic plots to facilitate the interpretation of the results. Taken together, the combination of knowledge‐based mechanistic modeling and data‐driven multivariate analysis delivered valuable insights into the metabolic control of lactate production and has proven to be a powerful tool for the analysis of large metabolic datasets. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:1657–1668, 2015     

Selection of CHO host cell subclones with increased specific antibody production rates by repeated cycles of transient transfection and cell sorting

Optimization of host cell lines both for transient and stable protein production is typically hampered by the inherent heterogeneity of cells within a population. This heterogeneity is caused not only by “hard fact” gene mutations, but also by subtle differences in the cellular network of regulation, which may include epigenetic variations. Taking advantage of this heterogeneity, we sorted for naturally occurring variants of CHO‐K1 and CHO‐S host cells that possess an improved cellular machinery for transient antibody production. The long‐term goal of this study was both to identify host cells that yield recombinant cell lines with on average higher productivity, but also to study the molecular differences that characterize such cells, independent of the site of gene integration or gene amplification. To identify such cells we optimized the procedure for transient transfection by electroporation to a degree that gave uniform transfer of plasmid DNA into nearly 100% of the cells and resulted in reproducible average productivities, with a standard deviation of 16% between independent experiments. Using this optimized protocol, the 1% of cells with the highest specific productivity was sorted and subcloned with a cold capture secretion assay. Upon re‐transfection, the resulting subclones showed the same specific productivity as their respective parental cell line. To enrich for cells with potentially stable improved properties, the 1% highest producers were sorted three times, 2 days after transient transfection each, and the enriched population was again sorted into microtiter plates for subcloning. For each of the two parental cell lines tested, three subclones were obtained that had a threefold higher specific productivity after transient transfection. This property was stable for approximately 3 months, indicating that the changes in productivity were regulatory and not mutational. Biotechnol. Bioeng. 2011;108: 386–394. © 2010 Wiley Periodicals, Inc.     

Determination of Chinese hamster ovary cell line stability and recombinant antibody expression during long-term culture

Chinese hamster ovary (CHO) cell lines are frequently used as hosts for the production of recombinant therapeutics, such as monoclonal antibodies, due to their ability to perform correct post-translational modifications. A potential issue when utilizing CHO cells for therapeutic protein production is the selection of cell lines that do not retain stable protein expression during long-term culture (LTC). Instability of expression impairs process yields, effective usage of time and money, and regulatory approval for the desired therapeutic. In this study, we investigated a model unstable GS-CHO cell line over a continuous period of approximately 100 generations to determine markers of mechanisms that underlie instability. In this cell line, stability of expression was retained for 40-50 generations after which time a 40% loss in antibody production was detected. The instability observed within the cell line was not due to a loss in recombinant gene copy number or decreased expression of mRNA encoding for recombinant antibody H or L chain, but was associated with lower cumulative cell time values and an apparent increased sensitivity to cellular stress (exemplified by increased mRNA expression of the stress-inducible gene GADD153). Changes were also noted in cellular metabolism during LTC (alterations to extracellular alanine accumulation, and enhanced rates of glucose and lactate utilization, during the exponential and decline phase of batch culture, respectively). Our data indicates the breadth of changes that may occur to recombinant CHO cells during LTC ranging from instability of recombinant target production at a post-mRNA level to metabolic events. Definition of the mechanisms, regulatory events, and linkages underpinning cellular phenotype changes require further detailed analysis at a molecular level.     

Rapid monitoring of recombinant antibody production by mammalian cell cultures using fourier transform infrared spectroscopy and chemometrics

Fourier transform infrared (FT‐IR) spectroscopy combined with multivariate statistical analyses was investigated as a physicochemical tool for monitoring secreted recombinant antibody production in cultures of Chinese hamster ovary (CHO) and murine myeloma non‐secreting 0 (NS0) cell lines. Medium samples were taken during culture of CHO and NS0 cells lines, which included both antibody‐producing and non‐producing cell lines, and analyzed by FT‐IR spectroscopy. Principal components analysis (PCA) alone, and combined with discriminant function analysis (PC‐DFA), were applied to normalized FT‐IR spectroscopy datasets and showed a linear trend with respect to recombinant protein production. Loadings plots of the most significant spectral components showed a decrease in the C–O stretch from polysaccharides and an increase in the amide I band during culture, respectively, indicating a decrease in sugar concentration and an increase in protein concentration in the medium. Partial least squares regression (PLSR) analysis was used to predict antibody titers, and these regression models were able to predict antibody titers accurately with low error when compared to ELISA data. PLSR was also able to predict glucose and lactate amounts in the medium samples accurately. This work demonstrates that FT‐IR spectroscopy has great potential as a tool for monitoring cell cultures for recombinant protein production and offers a starting point for the application of spectroscopic techniques for the on‐line measurement of antibody production in industrial scale bioreactors. Biotechnol. Bioeng. 2010; 106: 432–442. © 2010 Wiley Periodicals, Inc.     

Metabolite profiling of CHO cells: Molecular reflections of bioprocessing effectiveness

Whilst development of medium and feeds has provided major advances in recombinant protein production in CHO cells, the fundamental understanding is limited. We have applied metabolite profiling with established robust (GC‐MS) analytics to define the molecular loci by which two yield‐enhancing feeds improve recombinant antibody yields from a model GS‐CHO cell line. With data across core metabolic pathways, that report on metabolism within several cellular compartments, these data identify key metabolites and events associated with increased cell survival and specific productivity of cells. Of particular importance, increased process efficiency was linked to the functional activity of the mitochondria, with the amount and time course of use/production of intermediates of the citric acid cycle, for uses such as lipid biosynthesis, precursor generation and energy production, providing direct indicators of cellular status with respect to productivity. The data provide clear association between specific cellular metabolic indicators and cell process efficiency, extending from prior indications of the relevance of lactate metabolic balance to other redox sinks (glycerol, sorbitol and threitol). The information, and its interpretation, identifies targets for engineering cell culture efficiency, either from genetic or environmental perspectives, and greater understanding of the significance of specific medium components towards overall CHO cell bioprocessing.     

Suppression of PTP1B in gastric cancer cells in vitro induces a change in the genome‐wide expression profile and inhibits gastric cancer cell growth

PTP1B (protein tyrosine phosphatase 1B) is a member of the superfamily of PTPs (protein tyrosine phosphatases) and has been implicated in cancer pathogenesis. However, the role of PTP1B in gastric cancer is still unknown. Here, we first detected the PTP1B expression in six gastric cancer cell lines and in the immortalized gastric mucosal epithelial cell line GES‐1 by RT‐PCR and Western blot. Then, we measured the change of the genome‐wide expression profile in MKN28 gastric cancer cells transfected with a plasmid expressing PTP1B‐specific small interfering RNA by microarray analysis. Our results showed that PTP1B was overexpressed in gastric cancer cells, and inhibition of PTP1B expression dramatically inhibited gastric cancer cell growth in vitro and in vivo. In addition, microarray analysis revealed that inhibition of PTP1B induced changes in the genome‐wide expression profile. These changes may be related to cell growth. Taken together, our data suggested that PTP1B may be a candidate oncogene in gastric cancer.