Stable overexpression of native and artificial miRNAs for the production of differentially fucosylated antibodies in CHO cells.

Cell engineering strategies typically rely on energy-consuming overexpression of genes or radical gene-knock out. Both strategies are not particularly convenient for the generation of slightly modulated phenotypes, as needed in biosimilar development of for example differentially fucosylated monoclonal antibodies (mAbs). Recently, transiently transfected small noncoding microRNAs (miRNAs), known to be regulators of entire gene networks, have emerged as potent fucosylation modulators in Chinese hamster ovary (CHO) production cells. Here, we demonstrate the applicability of stable miRNA overexpression in CHO production cells to adjust the fucosylation pattern of mAbs as a model phenotype. For this purpose, we applied a miRNA chaining strategy to achieve adjustability of fucosylation in stable cell pools. In addition, we were able to implement recently developed artificial miRNAs (amiRNAs) based on native miRNA sequences into a stable CHO expression system to even further fine-tune fucosylation regulation. Our results demonstrate the potential of miRNAs as a versatile tool to control mAb fucosylation in CHO production cells without adverse side effects on important process parameters.

Developing microRNAs as engineering tools to modulate monoclonal antibody galactosylation.

N-linked glycosylation is one of the most important post-translational modifications of monoclonal antibodies (mAbs) and is considered to be a critical quality attribute (CQA), as the glycan composition often has immunomodulatory effects. Since terminal galactose residues of mAbs can affect antibody-dependent cellular cytotoxicity (ADCC), complement-dependent cytolysis (CDC) activation, serum half-life, and antiviral activity it has to be monitored, controlled and modulated to ensure therapeutic effects. The ability of small noncoding microRNAs (miRNAs) to modulate glycosylation in Chinese hamster ovary (CHO) production cells was recently reported establishing miRNAs as engineering tools for modulation of protein glycosylation. In this study, we report the characterization and validation of miRNAs as engineering tools for increased (mmu-miR-452-5p, mmu-miR-193b-3p) or decreased (mmu-miR-7646-5p, mmu-miR-7243-3p, mmu-miR-1668, mmu-let-7c-1-3p, mmu-miR-7665-3p, mmu-miR-6403) degree of galactosylation. Furthermore, the biological mode of action regulating gene expression of the galactosylation pathway was characterized as well as their influence on bioprocess-related parameters. Most important, stable plasmid-based overexpression of these miRNAs represents a versatile tool for engineering N-linked galactosylation to achieve favorable phenotypes in cell lines for biopharmaceutical production.

A novel system for glycosylation engineering by natural and artificial miRNAs.

N-linked glycosylation is a crucial post-translational modification of many biopharmaceuticals, including monoclonal antibodies (mAbs), capable of modifying their biological effect in patients and thus considered as a critical quality attribute (CQA). However, expression of desired and consistent glycosylation patterns remains a constant challenge for the biopharmaceutical industry and constitutes the need for tools to engineer glycosylation. Small non-coding microRNAs (miRNAs) are known regulators of entire gene networks and have therefore the potential of being used as tools for modulation of glycosylation pathways and for glycoengineering. Here, we demonstrate that novel identified natural miRNAs are capable of altering N-linked glycosylation patterns on mAbs expressed in Chinese hamster ovary (CHO) cells. We established a workflow for a functional high-throughput screening of a complete miRNA mimic library and identified 82 miRNA sequences affecting various moieties including galactosylation, sialylation, and α-1,6 linked core-fucosylation, an important glycan feature influencing antibody-dependent cytotoxicity (ADCC). Subsequent validation shed light on the intra-cellular mode of action and the impact on the cellular fucosylation pathway of miRNAs reducing core-fucosylation. While multiplex approaches increased phenotypic effects on the glycan structure, a synthetic biology approach utilizing rational design of artificial miRNAs further enhanced the potential of miRNAs as novel, versatile and tune-able tools for engineering of N-linked glycosylation pathways and expressed glycosylation patterns towards favourable phenotypes.

High-throughput glycosylation analysis of intact monoclonal antibodies by mass spectrometry coupled with capillary electrophoresis and liquid chromatography.

The analysis of monoclonal antibodies glycosylation is a crucial quality control attribute of biopharmaceutical drugs. High throughput screening approaches for antibody glycoform analysis are required in various stages of process optimization. Here, we present high throughput screening suitable mass spectrometry-based workflows for the analysis of intact antibody glycosylation out of cell supernatants. Capillary electrophoresis and liquid chromatography were coupled with quadrupole time-of-flight mass spectrometry or Orbitrap mass spectrometry. Both separation methods offer fast separation (10-15 min) and the capability to prevent the separated cell supernatant matrix to enter the mass spectrometry by post-separation valving. Both mass spectrometry instruments provide comparable results and both are sufficient to determine the glycosylation pattern of the five major glycoforms of the measured antibodies. However, the Orbitrap yields higher sensitivity of 25 µg/mL (CE-nanoCEasy-Orbitrap mass spectrometry) and 5 µg/mL (liquid chromatography-Orbitrap mass spectrometry). Data processing was optimized for a faster processing and easier detection of low abundant glycoforms based on averaged charge-deconvoluted mass spectra. This approach combines a non-target glycoform analysis while yielding the same glycosylation pattern as the traditional approach based on extracted ion traces. The presented methods enable the high throughput screening of the glycosylation pattern of antibodies down to low µg/mL-range out of cell supernatant without any sample preparation.

Infrared attenuated total reflection and 2D fluorescence spectroscopy for the discrimination of differently aggregated monoclonal antibodies.

Antibody aggregates may occur as undesirable by-products during the manufacturing process of biopharmaceutical proteins since parameters such as pH, temperature, ionic strength, protein concentration, oxygen, and shear forces can lead to aggregate formation. These aggregates have to be detected, quantified and removed cost extensively, since they may reduce the safety and efficacy of the product. Protein aggregates can range from small soluble dimers up to large visible agglomerates. Differently aggregated antibody samples were characterized for their soluble and insoluble aggregate concentration by size exclusion chromatography and fluorescence microscopy, respectively. The samples exhibited a high diversity of protein aggregates, which varied in amount, size and shape. For secondary structure characterization, infrared attenuated total reflection (IR-ATR) and two-dimensional fluorescence (2D-FL) spectroscopy were applied. Using direct spectroscopy, only marginal differences of various antibody aggregates were evident. However, using appropriate chemometric strategies, the evaluation of IR-ATR and 2D-FL spectra yielded the discrimination of differently aggregated antibody samples with yet unprecedented precision.

Identification of process conditions influencing protein aggregation in Chinese hamster ovary cell culture.

Protein aggregation of monoclonal antibodies (mAbs) is a common phenomenon associated with the production of these biopharmaceuticals. These aggregates can lead to adverse side effects in patients upon administration, thus expensive downstream processing steps to remove the higher molecular weight species are inevitable. A preferable approach is to reduce the level of aggregation during bioprocessing by a careful adjustment of critical process parameters. Recently, new analytical methods enabled characterization of mAb aggregation during bioprocessing of mammalian cells. Furthermore, rapid and efficient bioprocess optimization has been performed using design of experiments (DoE) strategies. In this work, we describe a DoE-based approach for the analysis of process parameters and cell culture additives influencing protein aggregation in Chinese hamster ovary (CHO) cell cultures. Important bioprocess variables influencing the aggregation of mAb and host cell proteins were identified in initial screening experiments. Response surface modeling was further applied in order to find optimal conditions for the reduction of protein aggregation during cell culture. It turned out that a temperature-shift to 31 °C, osmolality above 420 mOsm/kg, agitation at 100 rpm and 0.04% (w/v) antifoam significantly reduced the level of aggregates without substantial detrimental effects on cell culture performance in our model system. Finally, the aggregation reducing conditions were verified and applied to another production system using a different bioprocess medium and another CHO cell line producing another mAb. Our results show that protein aggregation can be controlled during cell culture and helps to improve bioprocessing of mAbs, by giving insights into the protein aggregation at its origin in mammalian cell culture.

Estimating Extrinsic Dyes for Fluorometric Online Monitoring of Antibody Aggregation in CHO Fed-Batch Cultivations.

Multi-wavelength fluorescence spectroscopy was evaluated in this work as tool for real-time monitoring of antibody aggregation in CHO fed-batch cultivations via partial least square (PLS) modeling. Therefore, we used the extrinsic fluorescence dyes 1-anilinonaphthalene-8-sulfonate (ANS), 4,4'-bis-1-anilinonaphthalene-8-sulfonate (Bis-ANS), or Thioflavin T (ThT) as medium additives. This is a new application area, since these dyes are commonly used for aggregate detection during formulation development. We determined the half maximum inhibitory concentrations of ANS (203 ± 11 µmol·L-1), Bis-ANS (5 ± 0.5 µmol·L-1), and ThT (3 ± 0.2 µmol·L-1), and selected suitable concentrations for this application. The results showed that the emission signals of non-covalent dye antibody aggregate interaction superimposed the fluorescence signals originating from feed medium and cell culture. The fluorescence datasets were subsequently used to build PLS models, and the dye-related elevated fluorescence signals dominated the model calibration. The soft sensors based on ANS and Bis-ANS signals showed high predictability with a low error of prediction (1.7 and 2.3 mg·mL-1 aggregates). In general, the combination of extrinsic dye and used concentration influenced the predictability. Furthermore, the ThT soft sensor indicated that the intrinsic fluorescence of the culture might be sufficient to predict antibody aggregation online.

High-throughput analysis of sub-visible mAb aggregate particles using automated fluorescence microscopy imaging.

Aggregation of therapeutic proteins is a major concern as aggregates lower the yield and can impact the efficacy of the drug as well as the patient's safety. It can occur in all production stages; thus, it is essential to perform a detailed analysis for protein aggregates. Several methods such as size exclusion high-performance liquid chromatography (SE-HPLC), light scattering, turbidity, light obscuration, and microscopy-based approaches are used to analyze aggregates. None of these methods allows determination of all types of higher molecular weight (HMW) species due to a limited size range. Furthermore, quantification and specification of different HMW species are often not possible. Moreover, automation is a perspective challenge coming up with automated robotic laboratory systems. Hence, there is a need for a fast, high-throughput-compatible method, which can detect a broad size range and enable quantification and classification. We describe a novel approach for the detection of aggregates in the size range 1 to 1000 µm combining fluorescent dyes for protein aggregate labelling and automated fluorescence microscope imaging (aFMI). After appropriate selection of the dye and method optimization, our method enabled us to detect various types of HMW species of monoclonal antibodies (mAbs). Using 10 µmol L-1 4,4'-dianilino-1,1'-binaphthyl-5,5'-disulfonate (Bis-ANS) in combination with aFMI allowed the analysis of mAb aggregates induced by different stresses occurring during downstream processing, storage, and administration. Validation of our results was performed by SE-HPLC, UV-Vis spectroscopy, and dynamic light scattering. With this new approach, we could not only reliably detect different HMW species but also quantify and classify them in an automated approach. Our method achieves high-throughput requirements and the selection of various fluorescent dyes enables a broad range of applications.

Exploring the capabilities of fluorometric online monitoring on chinese hamster ovary cell cultivations producing a monoclonal antibody.

Online monitoring of Chinese hamster ovary fed-batch cell cultures via two-dimensional fluorescence spectroscopy (2DFS) was evaluated in this work. Particular attention was directed toward different process strategies regarding the use of nutrient-rich feed media and temperature shifts. These intentionally performed process manipulations broadened the variances in the obtained fluorescence spectra and this was suspected to hamper the generation of reliable soft sensors. Principal component analysis of the obtained fluorescence data showed that temperature shift and feeding strategy had a considerable impact on the fluorescence signals. Partial least square regression models were calculated for the prediction of glucose, lactate, monoclonal antibody (mAb), and viable cell concentrations (VCC). It was aimed to integrate all 2DFS datasets in the respective calibration models regardless of the process-strategy-dependent diversity. Contrary to the expectations, it was feasible to calibrate soft sensors for the online prediction of glucose (7 latent variables (LVs), Rcal2 = 0.97, rout mean squared error of prediction (RMSEP) = 1.1 g L-1 ), lactate (5 LV; Rcal2 = 0.96; RMSEP = 0.5 g L-1 ) and mAb concentrations (4 LV; Rcal2 = 0.99; RMSEP = 11.4 mg L-1 ). Feeding and temperature shifts had the highest impact on the VCC model (3 LV; Rcal2 = 0.94; RMSEP 3.8 × 105 mL-1 ), nevertheless the prediction of VCC from the fed-batch 2DFS data was feasible. The results strongly indicate that variances in the datasets due to the process strategy can be tolerated to some extent by the respective soft sensors. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1592-1600, 2016.

miRNA profiling of high, low and non-producing CHO cells during biphasic fed-batch cultivation reveals process relevant targets for host cell engineering.

Fed-batch cultivation of recombinant Chinese hamster ovary (CHO) cell lines is one of the most widely used production modes for commercial manufacturing of recombinant protein therapeutics. Furthermore, fed-batch cultivations are often conducted as biphasic processes where the culture temperature is decreased to maximize volumetric product yields. However, it remains to be elucidated which intracellular regulatory elements actually control the observed pro-productive phenotypes. Recently, several studies have revealed microRNAs (miRNAs) to be important molecular switches of cell phenotypes. In this study, we analyzed miRNA profiles of two different recombinant CHO cell lines (high and low producer), and compared them to a non-producing CHO DG44 host cell line during fed-batch cultivation at 37°C versus a temperature shift to 30°C. Taking advantage of next-generation sequencing combined with cluster, correlation and differential expression analyses, we could identify 89 different miRNAs, which were differentially expressed in the different cell lines and cultivation phases. Functional validation experiments using 19 validated target miRNAs confirmed that these miRNAs indeed induced changes in process relevant phenotypes. Furthermore, computational miRNA target prediction combined with functional clustering identified putative target genes and cellular pathways, which might be regulated by these miRNAs. This study systematically identified novel target miRNAs during different phases and conditions of a biphasic fed-batch production process and functionally evaluated their potential for host cell engineering.

The influence of bisphenol A on mammalian cell cultivation.

Bisphenol A (BPA) plays a substantial role in industry, as it is used for polycarbonate (PC) plastics and epoxy resins which are required for various plastic consumer products. However, BPA is known to be an endocrine disruptor, and its influence on humans, animals, and various cell lines was addressed in diverse studies. As the burden of BPA can be increased by using disposable plastic articles and single-use technologies for cultivation, it is essential to examine the consequences of BPA presence on mammalian cells, as they are a contributing factor in the production of complex pharmaceutical therapeutics. We selected three industrially relevant cell lines and analyzed systemic effects of BPA by comparing cell culture performance in BPA-free poly-ethylene terephthalate glycol (PETG) and in PC shaking flasks. We focused on the influence of BPA on cellular growth, viability, and several metabolic parameters. In addition, we determined the product concentration and aggregation behavior of the recombinant proteins expressed by these cell lines and the BPA concentration within the medium caused by leaching. Moreover, we performed EC50 studies to determine the toxic concentration of BPA. Our results indicated that leached BPA had no effect on specific growth rates and viability and toxicity appeared at about 10(4) times higher concentrations; however, it influenced the specific productivity rate and metabolic activity parameters of our Chinese hamster ovary (CHO) cell line. Consequently, one can neglect BPA from leaching in the culture as long as the selected cell line is BPA tolerant. Otherwise, BPA can be a hurdle for pharmaceutical production, as it can influence the specific productivity of recombinant proteins.

Temperature-sensitive miR-483 is a conserved regulator of recombinant protein and viral vector production in mammalian cells.

Cell engineering and bioprocess optimizations such as low temperature cultivation represent powerful tools to improve cellular performance and product yields of mammalian production cells. Besides monoclonal antibodies (mABs), novel biotherapeutic formats such as viral vectors will gain increasing importance. Here, we demonstrate that similar to Chinese hamster ovary (CHO) cells, product yields of recombinant adeno-associated virus (rAAV) producing HeLa cells can be markedly increased by low temperature cultivation. MicroRNAs (miRNAs) are small non-coding RNAs that critically regulate cell phenotypes. We thus investigated differential miRNA expression in response to mild hypothermia in CHO and HeLa production cells. We discovered miR-483 to be substantially up-regulated upon temperature down-shift in both cell types. Functional validation experiments revealed that introduction of miR-483 mimics led to a significant increase in both rAAV and mAB production in HeLa and CHO cells, respectively. Furthermore, inhibition of miR-483 up-regulation during mild hypothermia significantly decreased product yields, suggesting that miR-483 is a key regulator of cellular productivity in mammalian cells. In addition, miRNA target gene identification indicated that miR-483 might regulate genes directly involved in cellular survival and protein expression. Our results highlight that miR-483 is a valuable tool for product-independent engineering of mammalian production cells.

Fluorometric In Situ Monitoring of an Escherichia coli Cell Factory with Cytosolic Expression of Human Glycosyltransferase GalNAcT2: Prospects and Limitations.

The glycosyltransferase HisDapGalNAcT2 is the key protein of the Escherichia coli (E. coli) SHuffle® T7 cell factory which was genetically engineered to allow glycosylation of a protein substrate in vivo. The specific activity of the glycosyltransferase requires time-intensive analytics, but is a critical process parameter. Therefore, it has to be monitored closely. This study evaluates fluorometric in situ monitoring as option to access this critical process parameter during complex E. coli fermentations. Partial least square regression (PLS) models were built based on the fluorometric data recorded during the EnPresso® B fermentations. Capable models for the prediction of glucose and acetate concentrations were built for these fermentations with rout mean squared errors for prediction (RMSEP) of 0.19 g·L-1 and 0.08 g·L-1, as well as for the prediction of the optical density (RMSEP 0.24). In situ monitoring of soluble enzyme to cell dry weight ratios (RMSEP 5.5 × 10-4 µg w/w) and specific activity of the glycosyltransferase (RMSEP 33.5 pmol·min-1·µg-1) proved to be challenging, since HisDapGalNAcT2 had to be extracted from the cells and purified. However, fluorescence spectroscopy, in combination with PLS modeling, proved to be feasible for in situ monitoring of complex expression systems.

miR-2861 as novel HDAC5 inhibitor in CHO cells enhances productivity while maintaining product quality.

Histone deacetylase (HDAC) inhibitors have been exploited for years to improve recombinant protein expression in mammalian production cells. However, global HDAC inhibition is associated with negative effects on various cellular processes. microRNAs (miRNAs) have been shown to regulate gene expression in almost all eukaryotic cell types by controlling entire cellular pathways. Since miRNAs recently have gained much attention as next-generation cell engineering tool to improve Chinese hamster ovary (CHO) cell factories, we were interested if miRNAs are able to specifically repress HDAC expression in CHO cells to circumvent limitations of unspecific HDAC inhibition. We discovered a novel miRNA in CHO cells, miR-2861, which was shown to enhance productivity in various recombinant CHO cell lines. Furthermore, we demonstrate that miR-2861 might post-transcriptionally regulate HDAC5 in CHO cells. Intriguingly, siRNA-mediated HDAC5 suppression could be demonstrated to phenocopy pro-productive effects of miR-2861 in CHO cells. This supports the notion that miRNA-induced inhibition of HDAC5 may contribute to productivity enhancing effects of miR-2861. Furthermore, since product quality is fundamental to safety and functionality of biologics, we examined the effect of HDAC inhibition on critical product quality attributes. In contrast to unspecific HDAC inhibition using VPA, enforced expression of miR-2861 did not negatively influence antibody aggregation or N-glycosylation. Our findings highlight the superiority of miRNA-mediated inhibition of specific HDACs and present miR-2861 as novel cell engineering tool for improving CHO manufacturing cells.

Fluorescence dye-based detection of mAb aggregates in CHO culture supernatants.

Product yields, efficacy, and safety of monoclonal antibodies (mAbs) are reduced by the formation of higher molecular weight aggregates during upstream processing. In-process characterization of mAb aggregate formation is a challenge since there is a lack of a fast detection method to identify mAb aggregates in cell culture. In this work, we present a rapid method to characterize mAb aggregate-containing Chinese hamster ovary (CHO) cell culture supernatants. The fluorescence dyes thioflavin T (ThT) and 4-4-bis-1-phenylamino-8-naphthalene sulfonate (Bis-ANS) enabled the detection of soluble as well as large mAb aggregates. Partial least square (PLS) regression models were used to evaluate the linearity of the dye-based mAb aggregate detection in buffer down to a mAb aggregate concentration of 2.4 µg mL(-1). Furthermore, mAb aggregates were detected in bioprocess medium using Bis-ANS and ThT. Dye binding to aggregates was stable for 60 min, making the method robust and reliable. Finally, the developed method using 10 µmol L(-1) Bis-ANS enabled discrimination between CHO cell culture supernatants containing different levels of mAb aggregates. The method can be adapted for high-throughput screening, e.g., to screen for cell culture conditions influencing mAb product quality, and hence can contribute to the improvement of production processes of biopharmaceuticals in mammalian cell culture.

Annotation of additional evolutionary conserved microRNAs in CHO cells from updated genomic data.

MicroRNAs are small non-coding RNAs that play a critical role in post-transcriptional control of gene expression. Recent publications of genomic sequencing data from the Chinese Hamster (CGR) and Chinese hamster ovary (CHO) cells provide new tools for the discovery of novel miRNAs in this important production system. Version 20 of the miRNA registry miRBase contains 307 mature miRNAs and 200 precursor sequences for CGR/CHO. We searched for evolutionary conserved miRNAs from miRBase v20 in recently published genomic data, derived from Chinese hamster and CHO cells, to further extend the list of known miRNAs. With our approach we could identify several hundred miRNA sequences in the genome. For several of these, the expression in CHO cells could be verified from multiple next-generation sequencing experiments. In addition, several hundred unexpressed miRNAs are awaiting further confirmation by testing for their transcription in different Chinese hamster tissues.

Direct analysis of mAb aggregates in mammalian cell culture supernatant.

BACKGROUND: Protein aggregation during monoclonal antibody (mAb) production can occur in upstream and downstream processing (DSP). Current methods to determine aggregate formation during cell culture include size exclusion chromatography (SEC) with a previous affinity chromatography step in order to remove disturbing cell culture components. The pre-purification step itself can already influence protein aggregation and therefore does not necessarily reflect the real aggregate content present in cell culture. To analyze mAb aggregate formation directly in the supernatant of Chinese hamster ovary (CHO) cell culture, we established a protocol, which allows aggregate quantification using SEC, without a falsifying pre-purification step. RESULTS: The use of a 3 µm silica SEC column or a SEC column tailored for mAb aggregate analysis allows the separation of mAb monomer and aggregates from disturbing cell culture components, which enables aggregate determination directly in the supernatant. Antibody aggregate analysis of a mAb-producing CHO DG44 cell line demonstrated the feasibility of the method. Astonishingly, the supernatant of the CHO cells consisted of over 75% mAb dimer and larger oligomers, representing a substantially higher aggregate content than reported in literature so far. CONCLUSION: This study highlights that aggregate quantification directly in the cell culture supernatant using appropriate SEC columns with suitable mAb aggregate standards is feasible without falsification by previous affinity chromatography. Moreover, our results indicate that aggregate formation should be addressed directly in the cell culture and is not only a problem in DSP.

Optimizing the transient transfection process of HEK-293 suspension cells for protein production by nucleotide ratio monitoring.

Large scale, transient gene expression (TGE) is highly dependent of the physiological status of a cell line. Therefore, intracellular nucleotide pools and ratios were used for identifying and monitoring the optimal status of a suspension cell line used for TGE. The transfection efficiency upon polyethyleneimine (PEI)-mediated transient gene delivery into HEK-293 cells cultured in suspension was investigated to understand the effect of different culture and transfection conditions as well as the significance of the culture age and the quality of the cell line used. Based on two different bicistronic model plasmids expressing the human erythropoietin gene (rHuEPO) in the first position and green fluorescent protein as reporter gene in the second position and vice versa, a completely serum-free transient transfection process was established. The process makes use of a 1:1 mixture of a special calcium-free DMEM and the FreeStyle™ 293 Expression Medium. Maximum transfectability was achieved by adjusting the ratio for complex formation to one mass part of DNA and three parts of PEI corresponding to an N/P (nitrogen residues/DNA phosphates) ratio of 23 representing a minimum amount of DNA for the polycation-mediated gene delivery. Applying this method, maximum transfectabilities between 70 and 96 % and a rHuEPO concentration of 1.6 µg mL(-1) 72 h post transfection were reached, when rHuEPO gene was expressed from the first position of the bicistronic mRNA. This corresponded to 10 % of the total protein concentration in the cell-free supernatant of the cultures in protein-free medium. Up to 30 % higher transfectabilities were found for cells of early passages compared to those from late passages under protein-free culture conditions. In contrast, when the same cells were propagated in serum-containing medium, higher transfectabilities were found for late-passage cells, while up to 40 % lower transfectabilities were observed for early-passage cells. Nucleotide pools were measured during all cell cultivations and the nucleoside triphosphate/uridine ratios were calculated. These 'nucleotide ratios' changed in an age-dependent manner and could be used to distinguish early- from late-passage cells. The observed effects were also dependent on the presence of serum in the culture. Nucleotide ratios were shown being applied to investigate the optimal passage number of cultured cell lines for achieving a maximum productivity in cultures used for transient gene expression. Furthermore, these nucleotide ratios proved to be different for transfected and untransfected cells, providing a high potential tool to monitor the status of transfection under various culture conditions.

How can measurement, monitoring, modeling and control advance cell culture in industrial biotechnology?

This report highlights the potential of measurement, monitoring, modeling and control (M(3) C) methodologies in animal and human cell culture technology. In particular, state-of-the-art of M(3) C technologies and their industrial relevance of existing technology are addressed. It is a summary of an expert panel discussion between biotechnologists and biochemical engineers with both academic and industrial backgrounds. The latest ascents in M(3) C are discussed from a cell culture perspective for industrial process development and production needs. The report concludes with a set of recommendations for targeting M(3) C research toward the industrial interests. These include issues of importance for biotherapeutics production, miniaturization of measurement techniques and modeling methods.