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. 2016 Mar 3;100:3451–3461. doi: 10.1007/s00253-016-7388-9

Advances in recombinant antibody manufacturing

Renate Kunert 1,, David Reinhart 1
PMCID: PMC4803805  PMID: 26936774

Abstract

Since the first use of Chinese hamster ovary (CHO) cells for recombinant protein expression, production processes have steadily improved through numerous advances. In this review, we have highlighted several key milestones that have contributed to the success of CHO cells from the beginning of their use for monoclonal antibody (mAb) expression until today. The main factors influencing the yield of a production process are the time to accumulate a desired amount of biomass, the process duration, and the specific productivity. By comparing maximum cell densities and specific growth rates of various expression systems, we have emphasized the limiting parameters of different cellular systems and comprehensively described scientific approaches and techniques to improve host cell lines. Besides the quantitative evaluation of current systems, the quality-determining properties of a host cell line, namely post-translational modifications, were analyzed and compared to naturally occurring polyclonal immunoglobulin fractions from human plasma. In summary, numerous different expression systems for mAbs are available and also under scientific investigation. However, CHO cells are the most frequently investigated cell lines and remain the workhorse for mAb production until today.

Keywords: Chinese hamster ovary (CHO), Human embryonic kidney (HEK), NS0, PER.C6, Monoclonal antibody (mAb) manufacturing, Mammalian expression systems, Process advances, Optimization strategies

Historical and scientific background

Monoclonal antibodies are the largest group of recombinant proteins used not only for human therapy but also for in vivo imaging of different types of diseases.

In the mid-1970s, the foundation for the commercial success of antibodies was laid by Köhler and Milstein who developed the method for immortalization of B lymphocytes for the purpose of monoclonal antibody production (Köhler and Milstein 1975). Isolated primary lymphocytes, differentiated and matured in the body, are fused with immortal lymphoblastoid cells, the so-called myeloma cells. Myeloma cells had already been cultivated since the 1960s, and auxotrophic cell strains were established after intensive treatment with chemicals or radiation. These early cell lines were then used for scientific evaluation and were also needed for the newly developed hybridoma technology enabling the discrimination between fused and unfused cells. Despite similar attempts at expressing other products with immortalized, differentiated cells being undertaken, the upcoming pharma industry in particular soon recognized the potential of mAbs as future blockbusters. The reason was that hybridoma technology was published in Nature in 1975 and therefore free of IP rights (Köhler and Milstein 1975). Most importantly, individual antibodies are considered to be individual products and can be patented to generate market exclusivity. Consequently, the first protein from animal cell culture for human application was OKT3, a mouse mAb directed against T lymphocytes to prevent host versus graft reaction in kidney transplantation (Smith 1996).

The next generation of mAb-producing cell lines was driven by the problems of hybridoma instability and the development of human anti-mouse antibodies (HAMA) by the patients. Progress in molecular biology techniques and the feasibility of directed genetic manipulation of mammalian cells enabled the production of mAbs by recombinant cell lines instead of less-defined hybridoma cells. The 1990s were dominated by the development of chimeric antibodies with human constant immunoglobulin regions and mouse variable regions to prohibit HAMA responses in patients. To delete the remaining T cell epitopes located on the variable regions of mAbs, humanization strategies were developed by grafting the antigen-binding domains (located on the complementary determining regions and determined by three heavy chain and three light chain peptide loops) to human framework regions of existing antibodies or to the nearest related germline regions. An alternative humanization strategy called resurfacing is based on the identification of surface accessible residues to evaluate their necessity for antigen binding or their potential for generating a T cell epitope (Pedersen et al. 1994; Roguska et al. 1994). However, the best method to generate a human applicable mAb is still to start from original human genes. Those might be obtained from antigen-primed donors as well as naïve or immune libraries which are commercially available. In this case, IP rights need to be charged for the technological package.

The dominating production system for mAbs is a recombinant expression in cellular systems. Not only the costs of the final drug product is the most important decision-driving parameter for a production system but also downstream procedures have to be evaluated carefully since they contribute significantly to meeting all regulatory demands and clinical efficacy. Product expense is a consequence of cost of goods and available capacity of the production facility, which might differ for the individual cell systems. A major impact is raised by downstream procedures and product quality assurance steps which cause significant costs even when cheap technologies with prokaryotic systems and lower eukaryotes are applied. In this review, the CHO production system is compared to alternative systems by means of production capacity and product quality.

Production systems under development, often already for decades, are transgenic plants and animals as well as in vitro translation systems. The difficulties which are encountered in those systems are most often insufficient product titers (transgenic animals), unwanted glycosylation patterns or proteolytic activity (both predominantly envisaged in transgenic plants), rendering the downstream procedures complicated and inefficient. Besides the availability of these expression systems, antibodies for human application are isolated by human plasma fractionation as initially developed during World War II. The industrial scale of single facilities is in the range of several thousand liters run in shift operations (Robert and Hotchko 2013). Frozen or fresh plasma pools are fractionated to isolate valuable components of the human serum proteome. One of them is the immunoglobulin fraction which is sold as plasma-derived intravenous immunoglobulin (IVIG), which is a polyvalent product generated from 10,000 to 40,000 donors. Plasma donations containing elevated levels of clinically important antibodies are preferably used for the production of ‘hyperimmune’ or ‘specific’ IgG products, such as anti-hepatitis B, anti-tetanus, anti-cytomegalovirus, or anti-rabies. To get an estimate of the production capacity, nearly 100 tons of IVIG are used in clinical applications per year. This means that the human individual also represents a factory for commercial antibody production, and huge amounts are isolated and purified from a worldwide cohort of millions of donors.

The factor “production efficacy-yield” in mAb production

Production yield is always a matter of numerous factors of the complex procedure of mAb manufacturing and therefore needs to be split into different unit operations to evaluate the critical steps. One major step is the upstream process, starting from the frozen vial of the producer clone and ending with the harvest of the culture broth. Critical parameters in this procedure are (i) the time until a desired cell density is reached, determined by the specific growth rate (μ) of the cells; (ii) the duration of the production phase enabling an accumulation of recombinant protein from a high-density and viable culture; and (iii) the obtainable product titer determined by the specific production rate (qP) and the overall process duration.

Host cell lines for mAb production and host cell engineering

The most prominent host cell lines for recombinant mAb expression are CHO, NS0, Sp2/0, HEK293, and PER.C6. However, most literature is available for CHO cells, which are still the workhorse for 70 % of today’s industrially produced protein therapeutics (Jayapal et al. 2007). In this context, it should be noted that mAbs approved for human therapy are only produced in CHO, NS0, and Sp2/0 (Dumont et al. 2015). Reviewed literature investigating high-producing cell lines is often not available, sometimes for IPR reasons or because only the process or the medium is of major interest and the cell line serves only as a tool. Table 1 gives an overview of scientific publications without considering therapeutic application.

Table 1.

Relevant bioprocess parameters for different mAb expression systems

Cell line Peak cell concentration Specific growth rate Specific productivity Yield STY Process type Reference
[106 cells/mL] [per day] [pg/cell/day] [g/L] [mg/(L × day)]
CHO 8.5 0.7 >50 0.9 121 Batch Reinhart et al. (2015)
23.9 0.7 >50 >5.8 345 Fed-batch Reinhart et al. (2015)
1.3 0.8 >2 0.04 2 Batch Lee et al. (2005)
27–33.5 n.a. >2 0.09–0.015 58–72 Perfusion Lee et al. (2005)
>10 0.7 57 >1 85 Fed-batch Zboray et al. (2015)
25; 26 n.a. 35; 49 10; 13 530; 730 Fed-batch Huang et al. (2010)
n.a. n.a. n.a. 9.8 470 Fed-batch Luan et al. (2006)
>200 n.a. 10–15 n.a. n.a. Perfusion Clincke et al. (2011)
<110 n.a. 9–13 n.a. n.a. Perfusion Clincke et al. (2013)
PER.C6 5 0.5 n.a. 0.3–0.5 42 Batch Jones et al. (2003)
>4 0.5 14–24 0.39 n.a. Batch De Kruif et al. (2010)
n.a. n.a. n.a. 8 n.a. Fed-batch Kuczewski et al. (2011)
≥150 n.a. n.a. 27a n.a. Perfusiona Kuczewski et al. (2011)
HEK 293b n.a. n.a. n.a. ≤0.3 43 Batch Hasegawa et al. (2014)
>2 n.a. 20 0.2 20 Batch Nallet et al. (2012)
2–4 n.a. 5–10 0.12–0.14c 24–28 Batch Jäger et al. (2013)
6–8 n.a. 5–10 0.1–0.6c <100 Fed-batch Jäger et al. (2013)
NS0 0.6–1.0 0.3–0.6 20–50 0.1–0.2 13–17 Batch Ho et al. (2012)
2.3 0.6–1.0 8–20 0.07 14 Batch Spens and Häggström (2007)
2.3–9.9 1.0 8–20 0.1–0.8 19–67 Fed-batch Spens and Häggström (2007)
2.4 0.5 1.9–13.4 0.24 17 Fed-batch Stansfield et al. (2007)

Values for the specific growth rate refer to the exponential growth phase

n .a. not available

aProduct and cell retention in an extreme density bioreactor

bTransient mAb expression

cProduct was a scFv-Fc antibody fragment

CHO cells were used as an expression system for the first approved recombinant biopharmaceutical (tissue plasminogen activator; t-PA) in 1986. Since then, CHO cells have clearly remained the preferred choice for recombinant protein expression. Despite other mammalian expression systems being available, CHO cells have clearly been at the center of attention for research on optimizing recombinant protein expression. Therefore, CHO-based mAb production processes have matured considerably and typically reach the highest product titers with ∼1 g/L in batch and 1–10 g/L in fed-batch processes (Table 1).

The murine cell lines NS0 and Sp2/0 are also used for recombinant mAb production despite expressing the two predominant immunogenic glycan epitopes for humans (Jefferis 2009), galactose-alpha1,3-Gal (alpha-gal), and N-glycolyl-neuraminic acid (Neu5Gc). Both epitopes are absent in CHO and baby hamster kidney (BHK) cells (both of hamster origin). In reported batch cultures, NS0 cells typically reached up to tenfold lower cell and mAb concentrations than CHO-based batch processes (Table 1). Despite achieving relatively high specific productivities of 20–50 pg/cell/day, published mAb titers range from 0.1 to 0.2 g/L in batch cultures and from 0.1 to 0.8 g/L in fed-batches.

Human embryonic kidney (HEK) and PER.C6 cells are often discussed for human identical glycosylation. However, especially for the production of mAbs, the in vivo heterogeneity has to be considered since in distinct cases mAbs from CHO cells showed higher sialylation compared to HEK cells (Croset et al. 2012). HEK293 cells are especially applied for transient gene expression to harvest a protein within a few days after DNA delivery. At present, transiently transfected cells reach mAb expression levels only in the low tens to hundreds of milligrams per liter range during batch cultivation. In fed-batches, mAb titers up to 0.6 g/L were reported for a scFv-Fc antibody fragment (Jäger et al. 2013). Regarding PER.C6 cells, reported product yields are more in the range of CHO-based processes with mAb titers of 0.5 g/L (batch), 8 g/L (fed-batch), and even 27 g/L (perfusion) as shown in Table 1. Although this is impressive, such high mAb concentrations at harvest were achieved due to product retention and concentration during perfusion in the bioreactor (Kuczewski et al. 2011).

The process improvements, which are often only empirically described, are escorted by achievements in vector design and genetic engineering of host cell lines. Vectors with incorporated scaffold/matrix attachment regions (S/MAR) (Zahn-Zabal et al. 2001; Kim et al. 2004; Girod et al. 2005) or ubiquitous chromatin opening elements (UCOEs) (Benton et al. 2002) are designed to provide an “active” configuration of chromatin loops surrounding the transferred gene of interest. Alternatively, bacterial artificial chromosomes (BACs) are DNA transfer vectors carrying a whole eukaryotic locus with all the elements controlling the expression of a gene. Thus, the transgene on the BAC is surrounded by an open/permissive chromatin loci and is not affected by the chromatin environment of the integration site (Kunert and Casanova 2013).

Host cell engineering aims to increase the duration of a (fed-) batch process in the bioreactor. Apoptosis, the major event of different cell death possibilities, is addressed in numerous studies to develop apoptosis-resistant cell lines by different strategies such as anti-apoptotic Bcl-2-like proteins (García-Sáez 2012), the suppression of pro-apoptotic factors, or the inhibition of the p53 tumor suppressor protein (Arden et al. 2007). Similarly, human telomerase reverse transcriptase (hTert) was overexpressed in recombinant CHO cells to induce the proliferation and promote apoptosis resistance (Crea et al. 2006). While the above-mentioned points aim to improve the growth and transcription potential of the cell, other authors aimed to improve the translational capacity of the cell by overexpression of chaperones for efficient maturation of the recombinant and often complex proteins or to reduce the unfolded protein response (UPR) to eliminate apoptosis events as a result of cellular stress (Davis et al. 2000; Chung et al. 2004; Borth et al. 2005; Tigges and Fussenegger 2006; Mohan and Lee 2010). One additional limit of heterologous protein expression might be the secretion pathway, starting from the translocation of the nascent polypeptide chain into the endoplasmatic reticulum (ER). Improper signal peptide cleavage from the antibody chain can lead to light chain aggregation. To reduce this, Le Fourn et al. (2014) overexpressed SRP14, a protein of the signal recognition particle (SRP), and thereby improved the specific productivity of difficult-to-produce antibodies several-fold.

In addition to complete mAbs, also corresponding fragments like scFv, scFvFc, Fab, and F(ab)2 are also used in clinical applications and will be paid increasing attention when the diversity of alternative diagnostic and therapeutic drugs is boosted. Such mAb variants are often produced in lower eukaryotes to circumvent technological difficulties and the risk of contamination since high-cell densities are quickly reached due to faster cell propagation. Among the different yeast systems, Pichia pastoris is often preferred to Saccharomyces cerevisiae for its ability to grow on different carbon sources (including methanol), chemically defined media and the product secretion to the extracellular environment (Macauley-Patrick et al. 2005). The ability of yeast cells to perform post-translational modifications significantly reduces the burden on downstream procedures compared to bacterial systems. The resistance of P. pastoris to methanol and the decreased fermentative metabolic pathway enable their cultivation to cell densities above 100 g/L dry cell mass in reusable stainless steel systems (Cregg 2007; Gurramkonda et al. 2009). Such high cell density cultures (HCDC) are often also cost-intensive, and increased concentrations of extracellular proteases might result from increased cell death (Cregg et al. 2000; Shi et al. 2003; Daly and Hearn 2005). Due to the envisaged limits in HCDC, the factor of improving specific protein production rates is the main focus of improving recombinant protein production in yeast cells. Besides the commonly applied codon optimization strategies, coexpression of helper factors like HAC (bZIP transcription factor HAC-1 is involved in the UPR) and SEC4 (involved in vesicular transport) or chaperones actively supporting protein maturation in the ER have been suggested and applied with different degrees of success (Gasser et al. 2006; Damasceno et al. 2007). Therefore, the specific growth rate, maximum cell densities as well as process time shall be compared in a rough approximation in the following section. Here, we want to compare the CHO system with the methylotrophic yeast P. pastoris since both systems secrete the recombinant product into the culture supernatant. Both expression systems are predominantly grown in synthetic chemically defined media. Also, downstream procedures are comparable even though increasingly high cell densities may considerably challenge the cell separation step in the Pichia system. For realistic comparison of the two systems, the most important parameters describing the exponential growth phase up to the stationary phase of a batch culture are summarized in Table 2.

Table 2.

Growth parameters and maximum cell densities of a batch process of P. pastoris and CHO cells.

Parameter Pichia pastoris CHO cells
Calculated cell massa [ng/cell] 0.02 2
Maximum cell concentration [cells/L] 1–2 × 10 13 0.5–1 × 1011
Maximum cell wet weight (WCW) [g/L] 200–400 100–200
Maximum specific growth rate [per h] 0.15 0.03

Values in italics are estimated (calculated) since they are usually not quantified for the system. The specific gravity of cells is simplified with 1

aCell mass is based on the assumption of spherical cells with a diameter of 15–16 μm for CHO cells and 3–4 μm for P. pastoris cells

The main and presumably the only advantage of P. pastoris is its high specific growth rate. Considering this advantage, Fig. 1 compares the accumulation of biomass using the P. pastoris system in comparison with two theoretical CHO growth curves, characterized by two different specific growth rates (0.6 and 0.7/day); P. pastoris was calculated with μ = 0.15/h. The wet cell weight (WCW) on the y-axis is limited with 100 g/L indicating the estimated exponential growth phase of the cultures.

Fig. 1.

Fig. 1

Calculated exponential growth of P. pastoris and two CHO cell lines. For P. pastoris, a starting WCW of 0.4 g/L (20 × 106 cells/mL) and a μ of 0.15/h were assumed (full line), CHO cell lines were inoculated with 0.3 × 106 cells/mL (0.6 g/L) and a μ of 0.7/day (0.029/h) (dashed line), and 0.6/day (0.025/h) (chain line) was estimated

This substantial difference in specific growth rate highlights the challenge of animal cell culture. This becomes even more critical in a large-scale 20-kL bioreactor, which needs to be filled to a maximum cell concentration of 5 × 1010 cells/L, meaning 1015 cells have to be generated from a master cell bank, which is normally frozen with 106 cells/vial. This requires a process time of 29 days, and 2 tons of cells needs to be generated.

A detailed study was conducted by Maccani et al. (2014), who investigated recombinant clones of P. pastoris (host strain SMD1168H) and CHO (host strain DUKX-B11) expressing two different model proteins. When a scFvFc homodimeric mAb fragment (3D6scFvFc) was expressed, the maximum specific growth rate was 5–10 times higher in P. pastoris. The mean specific secretion rate (qP expressed as mg/g DCW/h) of 3D6scFvFc was more than 1000-fold higher in the CHO cells compared to the P. pastoris strains. Due to the low qP of the 3D6scFvFc in P. pastoris strains, the space time yield (STY; mg/L/h) was almost tenfolds lower in P. pastoris compared to the corresponding CHO cell line even though the maximal cell dry mass concentration (g/L) of the P. pastoris strain was more than 100-folds higher compared to CHO strains.

Similar conclusions were made during a direct comparison of CHO cells (DUKX-B11) with P. pastoris (wild-type strain X33) which recombinantly expressed a heterodimeric Fab fragment (Kunert et al. 2008). Similar to the 3D6scFvFc used by Maccani et al. (2014), simple protein-free media based on a DMEM:Ham’s F12 mixture supplemented with soy peptone and other small-molecule protein-free supplements were used for cell culture experiments.

Current and advanced technology of mAb production

Cell culture technology has matured considerably in the last decades and evolved into a relatively reliable and robust technology. There are a number of steps to be optimized that synergistically contribute to the successful exploitation of this technology and produce a given recombinant protein at high quantity and desired quality, while keeping the production costs low.

One particular milestone was the development and commercial availability of improved chemically defined media that led to promising results even with rather old cell lines, which were established long before the development of the “new” media. However, higher costs and individual demands of each recombinant clone trigger the biopharmaceutical companies to develop their own media to optimize their mammalian cell technology platforms. Jayapal et al. (2007) analyzed the development of cell culture technologies and stated that almost 30 years ago, “old” bioprocesses were usually operated for a week in batch mode with peak cell concentrations of 3 × 106 cells/mL and recombinant protein yields of approximately 100 mg/L (Fig. 2). Two decades later, state-of-the-art processes reached considerably longer process durations, higher cell densities, and mAb titers of 1–5 g/L due to improved basal media as well as feed strategies to replenish depleted nutrients. Nowadays, further developments such as specific feed concentrates that meet the different demands during different cultivation phases (e.g., growth and stationary phase) that enable even higher cell concentrations and product titers beyond 10 g/L are becoming reality. Recently, continuous process control strategies such as perfusion systems have started to gain popularity due to a paradigm shift of cell culture process development from pursuing even higher titers to controlling product quality and process consistency (Kelley 2009). During perfusion, a constant supply of fresh nutrients and removal of by-products can be achieved while retaining the cells in the bioreactor. This creates a rather stable environment for the product and the cells along with a short retention time of the product to preserve its quality. Additionally, such processes enable cell concentrations beyond 2 × 108 cells/mL (Clincke et al. 2013) and high productivities with mAb titers up to 27 g/L (Kuczewski et al. 2011) due to product retention and concentration in the bioreactor. Compared to batch or fed-batch processes, perfusion cultures can reach several-fold higher space time yields (Table 1).

Fig. 2.

Fig. 2

Typical cell and product concentrations achieved due to process improvements in the past three decades

Another milestone in medium development was the move towards serum-free media. Although serum promotes cell growth, its non-standardized and complex composition is a significant source of medium variability which lowers the outcome and robustness of a bioprocess. As an alternative to serum, animal-component free protein hydrolysates derived from soy, wheat, and yeast can be added to support cell growth and productivity. However, the composition of hydrolysates also varies from lot to lot. Thus, to maximize process robustness, the implementation of fully chemically defined media is usually preferred.

Advances in monitoring and control strategies have generally improved process performance and robustness. Linking the bioprocess to the cellular metabolism can be used to implement cultivation strategies and fine-tune or direct, e.g., between cell growth and/or productivity as well as nutrient consumption and by-product accumulation (Fan et al. 2014; Reinhart et al. 2015). In general, by-product formation can be reduced at low osmolality levels and therefore increase culture viability, longevity, and recombinant protein production. However, higher osmolalities have also been shown to increase productivities (Zhang et al. 2010). Further strategies to reduce unwanted by-products such as lactic acid (mainly acidifies culture) or ammonium (toxic and negatively affects protein glycosylation) are to keep glucose or glutamine concentrations low or directly substitute them with slowly metabolized nutrients such as galactose or glutamate (Altamirano et al. 2001, 2004). Another rather simple strategy to reduce by-product formation can be realized by reduction of the cell metabolism by lowering temperature and/or pH (Trummer et al. 2006a, b).

Optimization of culture operating parameters is vitally important to obtain high product yields while meeting the quality specifications. Physical (e.g., temperature, gas flow, and impeller speed), chemical (e.g., pH, osmolality, dissolved O2 and CO2, redox potential, and metabolite levels), and biological (e.g., cell concentration, viability, cell cycle, mitochondrial activity, and NADH and LDH levels) parameters can all significantly affect product quality and potency, especially with respect to glycosylation, post-transcriptional modifications, and impurity profiles (Li et al. 2010b). These factors can cause substantial variability during bioprocessing. Little understanding of the sources of variation in mammalian cell culture processes is certainly one of the challenges ahead. Currently, a better understanding of bioprocesses towards ensuring final product quality is driven by the US Food and Drug Administration’s (FDA) process analytical technology (PAT) initiative and possibly links process parameters and reproducibility, culture performance, and product quality (FDA 2004).

Disposable technologies are continuously gaining more importance and are nowadays no longer limited to laboratory scale but are continuously being applied on a larger scale. Compared to traditional stainless steel tanks, single-use bioreactors offer numerous advantages such as lower initial investment costs, an increased reliability, and no validation efforts as they arrive clean and pre-sterilized; minimal requirements for installation, qualification, and personnel training and can increase plant capacity and flexibility by reducing turnaround and set-up time, with reduced piping, valve, and instrumentation requirements as well as faster implementation of design changes allowing for continuous improvement and integration of new technologies such as on-line monitoring systems (Li et al. 2010b). Improved on-line and off-line sensors are capable of providing information that further enhances process monitoring and control. The first generation of on-line probes for optical cell density quantification often showed erroneous readings at decreasing viabilities at later stages of bioprocesses. Next-generation probes rely on dielectric permittivity and electrical impedance spectroscopy and are more accurate to determine viable cell volume (Zeiser et al. 1999; Downey et al. 2014). Spectroscopic probes, based on near- or mid-infrared range, allow non-invasive assessment of complex cell culture media components such as nutrients, by-products, viability, and cell and recombinant product concentrations (Li et al. 2010a) directly in the bioreactor allow even better process control in real time.

The factor “product quality” in mAb production

The primary sequence of a mAb expressed in different cell systems is mainly determined by the codons of the transgene, but post-translational modifications determine a recombinant protein’s microheterogeneity and have a significant impact on its solubility, stability, pharmacokinetics, potency, and biological activities. Enzymatic modifications start with the cleavage of the signal sequence and follow the path of protein maturation in the ER and the Golgi. The aim of therapeutic protein manufacturing is to generate proteins’ microheterogeneity as close to the in vivo situation as possible. But especially for polyclonal immunoglobulins from human serum, this is a very complex picture despite the Fc fragment of all four IgG subclasses carrying only a single highly conserved N-glycosylation site. The predominant structure of these oligosaccharides is a biantennary complex-type structure, mostly core-fucosylated partially with a bisecting N-acetylglucosamine, and a small portion may carry one or two sialic acid residues on the antennae (Raju 2008). The most significant variation is determined by the degree of galactosylation and a varying portion of truncated glycoforms. Various studies have indicated that the glycosylation profile in particular changes during age or specific physiological and pathological conditions (Parekh et al. 1985; Yamada et al. 1997; Chen et al. 2012). Therefore, it is necessary to focus on commonly described and discussed specific differences of glycosylation like fucosylation, sialylation, occurrence of bisecting N-acetylglucosamine, and the degree of galactosylation.

Galactosylation is rather important for mediating complement-dependent cytotoxicity (CDC), and different studies confirmed the positive effect of fully galactosylated IgG due to increased antibody binding to C1q (Jefferis 2009). In contrast, IgG half-life is not supported by terminal galactose residues (Jones et al. 2007).

Alpha1,6-fucosylation is often discussed because of its role in antibody-dependent cell-mediated cytotoxicity (ADCC) initiated by binding of the specific antibody to the FcγRIIIa receptor. Despite the fact that more than 80 % of serum IgG is fucosylated, it has been found that non-fucosylated IgG’s increase ADCC significantly (Miyoshi et al. 1999; Xue et al. 2013). Since CHO cell-expressed mAbs contain 90 % fucosylated carbohydrates, host cells are genetically engineered to lack α1,6-fucosyltransferase (Satoh et al. 2006).

The bisecting N-acetyl-glucosamine, bound to the central mannose residue, is another important sugar moiety that is known to improve ADCC. CHO and NS0 cells do not express N-acetyl-glucosaminyl transferase III (Umaña et al. 1999), and therefore, different groups aim to generate appropriate cell lines (Ferrara et al. 2006).

Sialylation might have a beneficial effect on serum half-life (Raju and Lang 2014), but it has also been reported that terminal sialic acid reduces ADCC (Scallon et al. 2007).

Beneath the highly inhomogeneous picture of glycosylation of mAbs and serum IgG, chemical or enzymatic modifications of amino acids have been described. N-terminal glutamic acid and glutamine might be converted to pyroglutamate and C-terminal lysine can be cleaved off (Brorson and Jia 2014). Cyclic pyroglutamate not only was found in vivo but also occurs biologically after long bioprocess duration and chemically during purification, formulation, storage, or even under analytical procedures. After lysine cleavage, the newly generated terminal proline residue is now susceptible to another modification, namely amidation. Plasma-derived antibodies generally lack C-terminal lysine residues in their heavy chains (Harris 1995). Terminal modifications were not estimated as having an impact on antigen or receptor binding, but from a regulatory perspective, they should be considered in risk-assessments and the impact on product quality and safety should be studied.

Deamidation of asparagine and glutamine is sometimes found in the antigen binding site of mAbs and was evaluated to have a major impact on the binding affinity (Huang et al. 2005; Haberger et al. 2014). Other modifications like oxidation of methionine (Liu et al. 2008), the formation of disulfide bonds, or glycation (Quan et al. 2008) may also lead to microheterogeneity being defined as a critical quality attribute and should be controlled carefully (Goetze et al. 2010).

The quality of mAbs needs to be controlled and assured for the final product formulation until to the moment of in vivo application. Biophysical properties, the heterogeneity in size, and the net charge of the molecule are important parameters. In-depth analysis of glycosylation variants are performed by mass spectroscopy (MS). Due to the expensive equipment and the demand of highly specialized scientists, it is assumed that in the near future, MS will be performed by designated protein biochemists. However, since DoE protocols call for multitudes of analyzed samples alternative techniques are adapted to trace enzymatic and chemical changes to indicate the mAb microheterogeneity. Such methods are often based on protein size, surface charge, or the combination of both properties.

Protein aggregation and formation of particles commonly occur during the bioprocess by structural, environmental, and processing factors. The therapeutic protein can thereby lose biological activity, develop immunologic reactions, or other side effects. Therefore, analyzing product quality early in development is necessary to rapidly match the desired quality profile. A broad range of size (nm–μm) has to be considered and complimentary, orthogonal analytical techniques are necessary to verify the results based on different principles and setups (Telikepalli et al. 2014). Size exclusion chromatography (SEC) is a powerful tool to analyze smaller aggregates in the size range of tens of nanometers but small nanometer-sized soluble aggregates might dissociate by interacting with the mobile phase or adhere to the column. Therefore, HIC-HPLC was developed and gave promising results for the analysis of different mAb isoforms including aggregates (Haverick et al. 2014). Alternatively, SEC was applied in an HPLC format to improve isoform resolution (Paul et al. 2014). Nanoparticle tracking analysis (NTA) is able to analyze submicron particles (0.1 to 1 μm) by combining laser light scattering microscopy with a charge-coupled device camera enabling the visualization and recording of nanoparticles in solution. The complementary method is dynamic light scattering (DLS) which determines particle size from fluctuations in scattered light intensity due to the Brownian movement of the particles, but accurate size determination is rather critical with this method. Electron microscopy analysis provides highly detailed information not only about particle size but also about particle shape and surface texture. Currently, a common application is limited since equipment is expensive and analyses rely on microscope experts. The size distribution determined by analytical ultracentrifugation (AUC) is also more complex and needs to be combined with the above-mentioned methods, such as PAGE and SEC including all their uncertainties.

Analysis of charge variant distribution of mAb preparations gives insight to chemical and enzymatic modifications of mAbs that may result from the bioprocess or the formulation/storage conditions (Lingg et al. 2014). Conventional ion-exchange chromatography needs to be elaborated for every single mAb, is a time-consuming procedure, and needs several micrograms of mAb for each injection. This led to the development of highly sensitive alternatives like capillary ion-exchange chromatography (Rea et al. 2015) and high-performance ion-exchange chromatography (Kishishita et al. 2015) to analyze acidic, main, and basic mAb fractions. To handle multiple samples in a short time and evaluate different process strategies, Wheeler et al. (2014) developed a microchip zone electrophoresis for high throughput analysis of mAbs.

Conclusion

By summarizing biological and technological aspects for recombinant mAb production in different mammalian cell culture hosts, it becomes clear that despite their long scientific history a lot of development work is still invested in them. The number of scientific publications containing “CHO” in the title and text in PubMed (US National Library of Medicine) far exceeds other commonly used cell lines for recombinant protein expression (Fig. 3). Approximately 75 % of scientific publications have used CHO cells since the beginning, and this percentage has remained unchanged for the last 10 years. Therefore, CHO cells will probably remain the workhorse for protein expression in mammalian cell culture in the next decades too. In parallel, much work was and will be put into the development of alternative expression systems especially for mAb variants without in vivo counterparts, new conjugated formats, or artificial molecules. These may even be expressed in lower eukaryotes or prokaryotes, depending on if they can meet the desired quality specifications. Another point to consider is the development of biosimilars where the community has experienced difficulties in meeting the branded original without precisely mimicking the whole production of the original drug.

Fig. 3.

Fig. 3

Score of scientific publications in PubMed (US National Library of Medicine) using diverse popular cell lines for recombinant protein expression in the last 10 years as well as total results

Acknowledgments

Open access funding provided by University of Natural Resources and Life Sciences Vienna (BOKU) (Vienna | Austria).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Contributor Information

Renate Kunert, Phone: (+43) 1/47654-6595, Email: renate.kunert@boku.ac.at.

David Reinhart, Email: david.reinhart@boku.ac.at.

References

  1. Altamirano C, Illanes A, Casablancas A, Gámez X, Cairó JJ, Gòdia C. Analysis of CHO cells metabolic redistribution in a glutamate-based defined medium in continuous culture. Biotechnol Prog. 2001;17:1032–1041. doi: 10.1021/bp0100981. [DOI] [PubMed] [Google Scholar]
  2. Altamirano C, Paredes C, Illanes A, Cairó JJ, Gòdia F. Strategies for fed-batch cultivation of t-PA producing CHO cells: substitution of glucose and glutamine and rational design of culture medium. J Biotechnol. 2004;110:171–179. doi: 10.1016/j.jbiotec.2004.02.004. [DOI] [PubMed] [Google Scholar]
  3. Arden N, Ahn SH, Vaz W, Rhodes M, Hancock C, Abitorabi MA, Betenbaugh MJ. Chemical caspase inhibitors enhance cell culture viabilities and protein titer. Biotechnol Prog. 2007;23:506–511. doi: 10.1021/bp060222m. [DOI] [PubMed] [Google Scholar]
  4. Benton T, Chen T, McEntee M, Fox B, King D, Crombie R, Thomas TC, Bebbington C. The use of UCOE vectors in combination with a preadapted serum free, suspension cell line allows for rapid production of large quantities of protein. Cytotechnology. 2002;38:43–46. doi: 10.1023/A:1021141712344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Borth N, Mattanovich D, Kunert R, Katinger H. Effect of increased expression of protein disulfide isomerase and heavy chain binding protein on antibody secretion in a recombinant CHO cell line. Biotechnol Prog. 2005;21:106–111. doi: 10.1021/bp0498241. [DOI] [PubMed] [Google Scholar]
  6. Brorson K, Jia AY. Therapeutic monoclonal antibodies and consistent ends: terminal heterogeneity, detection, and impact on quality. Curr Opin Biotechnol. 2014;30:140–146. doi: 10.1016/j.copbio.2014.06.012. [DOI] [PubMed] [Google Scholar]
  7. Chen G, Wang Y, Qiu L, Qin X, Liu H, Wang X, Song G, Li F, Guo Y, Guo S, Li Z. Human IgG Fc-glycosylation profiling reveals associations with age, sex, female sex hormones and thyroid cancer. J Proteome. 2012;75:2824–2834. doi: 10.1016/j.jprot.2012.02.001. [DOI] [PubMed] [Google Scholar]
  8. Chung JY, Lim SW, Hong YJ, Hwang SO, Lee GM. Effect of doxycycline-regulated calnexin and calreticulin expression on specific thrombopoietin productivity of recombinant Chinese hamster ovary cells. Biotechnol Bioeng. 2004;85:539–546. doi: 10.1002/bit.10919. [DOI] [PubMed] [Google Scholar]
  9. Clincke MF, Mölleryd C, Zhang Y, Lindskog E, Walsh K, Chotteau V. Study of a recombinant CHO cell line producing a monoclonal antibody by ATF or TFF external filter perfusion in a WAVE Bioreactor™. BMC Proc. 2011;5(8):P105. doi: 10.1186/1753-6561-5-S8-P105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Clincke MF, Mölleryd C, Samani PK, Lindskog E, Fäldt E, Walsh K, Chotteau V. Very high density of Chinese hamster ovary cells in perfusion by alternating tangential flow or tangential flow filtration in WAVE Bioreactor™-part II: applications for antibody production and cryopreservation. Biotechnol Prog. 2013;29:768–777. doi: 10.1002/btpr.1703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Crea F, Sarti D, Falciani F, Al-Rubeai M. Over-expression of hTERT in CHO K1 results in decreased apoptosis and reduced serum dependency. J Biotechnol. 2006;121:109–123. doi: 10.1016/j.jbiotec.2005.07.021. [DOI] [PubMed] [Google Scholar]
  12. Cregg JM. Introduction: distinctions between Pichia pastoris and other expression systems. Methods Mol Biol. 2007;389:1–10. doi: 10.1007/978-1-59745-456-8_1. [DOI] [PubMed] [Google Scholar]
  13. Cregg JM, Cereghino JL, Shi J, Higgins DR. Recombinant protein expression in Pichia pastoris. Mol Biotechnol. 2000;16:23–52. doi: 10.1385/MB:16:1:23. [DOI] [PubMed] [Google Scholar]
  14. Croset A, Delafosse L, Gaudry JP, Arod C, Glez L, Losberger C, Begue D, Krstanovic A, Robert F, Vilbois F, Chevalet L, Antonsson B. Differences in the glycosylation of recombinant proteins expressed in HEK and CHO cells. J Biotechnol. 2012;161:336–348. doi: 10.1016/j.jbiotec.2012.06.038. [DOI] [PubMed] [Google Scholar]
  15. Daly R, Hearn MT. Expression of heterologous proteins in Pichia pastoris: a useful experimental tool in protein engineering and production. J Mol Recognit. 2005;18:119–138. doi: 10.1002/jmr.687. [DOI] [PubMed] [Google Scholar]
  16. Damasceno LM, Anderson KA, Ritter G, Cregg JM, Old LJ, Batt CA. Cooverexpression of chaperones for enhanced secretion of a single-chain antibody fragment in Pichia pastoris. Appl Microbiol Biotechnol. 2007;74:381–389. doi: 10.1007/s00253-006-0652-7. [DOI] [PubMed] [Google Scholar]
  17. Davis R, Schooley K, Rasmussen B, Thomas J, Reddy P. Effect of PDI overexpression on recombinant protein secretion in CHO cells. Biotechnol Prog. 2000;16:736–743. doi: 10.1021/bp000107q. [DOI] [PubMed] [Google Scholar]
  18. de Kruif J, Kramer A, Nijhuis R, van der Zande V, den Blanken R, Clements C, Visser T, Keehnen R, den Hartog M, Throsby M, Logtenberg T. Generation of stable cell clones expressing mixtures of human antibodies. Biotechnol Bioeng. 2010;106:741–750. doi: 10.1002/bit.22763. [DOI] [PubMed] [Google Scholar]
  19. Downey BJ, Graham LJ, Breit JF, Glutting NK. A novel approach for using dielectric spectroscopy to predict viable cell volume (VCV) in early process development. Biotechnol Prog. 2014;30:479–487. doi: 10.1002/btpr.1845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Dumont J, Euwart D, Mei B, Estes S, Kshirsagar R. Human cell lines for biopharmaceutical manufacturing: history, status, and future perspectives. Crit Rev Biotechnol. 2015;18:1–13. doi: 10.3109/07388551.2015.1084266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Fan Y, Jimenez Del Val I, Müller C, Wagtberg Sen J, Rasmussen SK, Kontoravdi C, Weilguny D, Andersen MR. Amino acid and glucose metabolism in fed-batch CHO cell culture affects antibody production and glycosylation. Biotechnol Bioeng. 2014;112(3):521–535. doi: 10.1002/bit.25450. [DOI] [PubMed] [Google Scholar]
  22. FDA (2004) Guidance for industry PAT—a framework for innovative pharmaceutical development, manufacturing, and quality assurance. Food and Drug Administration (FDA)
  23. Ferrara C, Brünker P, Suter T, Moser S, Püntener U, Umaña P. Modulation of therapeutic antibody effector functions by glycosylation engineering: influence of Golgi enzyme localization domain and co-expression of heterologous beta1, 4-N-acetylglucosaminyltransferase III and Golgi alpha-mannosidase II. Biotechnol Bioeng. 2006;93:851–861. doi: 10.1002/bit.20777. [DOI] [PubMed] [Google Scholar]
  24. García-Sáez AJ. The secrets of the Bcl-2 family. Cell Death Differ. 2012;19:1733–1740. doi: 10.1038/cdd.2012.105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Gasser B, Maurer M, Gach J, Kunert R, Mattanovich D. Engineering of Pichia pastoris for improved production of antibody fragments. Biotechnol Bioeng. 2006;94:353–361. doi: 10.1002/bit.20851. [DOI] [PubMed] [Google Scholar]
  26. Girod PA, Zahn-Zabal M, Mermod N. Use of the chicken lysozyme 5′ matrix attachment region to generate high producer CHO cell lines. Biotechnol Bioeng. 2005;91:1–11. doi: 10.1002/bit.20563. [DOI] [PubMed] [Google Scholar]
  27. Goetze AM, Schenauer MR, Flynn GC. Assessing monoclonal antibody product quality attribute criticality through clinical studies. MAbs. 2010;2:500–507. doi: 10.4161/mabs.2.5.12897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Gurramkonda C, Adnan A, Gäbel T, Lünsdorf H, Ross A, Nemani SK, Swaminathan S, Khanna N, Rinas U. Simple high-cell density fed-batch technique for high-level recombinant protein production with Pichia pastoris: application to intracellular production of Hepatitis B surface antigen. Microb Cell Factories. 2009;8:13. doi: 10.1186/1475-2859-8-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Haberger M, Bomans K, Diepold K, Hook M, Gassner J, Schlothauer T, Zwick A, Spick C, Kepert JF, Hienz B, Wiedmann M, Beck H, Metzger P, Mølhøj M, Knoblich C, Grauschopf U, Reusch D, Bulau P. Assessment of chemical modifications of sites in the CDRs of recombinant antibodies: susceptibility vs. functionality of critical quality attributes. MAbs. 2014;6:327–339. doi: 10.4161/mabs.27876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Harris RJ. Processing of C-terminal lysine and arginine residues of proteins isolated from mammalian cell culture. J Chromatogr A. 1995;705:129–134. doi: 10.1016/0021-9673(94)01255-D. [DOI] [PubMed] [Google Scholar]
  31. Hasegawa H, Woods CE, Kinderman F, He F, Lim AC. Russell body phenotype is preferentially induced by IgG mAb clones with high intrinsic condensation propensity: relations between the biosynthetic events in the ER and solution behaviors in vitro. MAbs. 2014;6:1518–1532. doi: 10.4161/mabs.36242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Haverick M, Mengisen S, Shameem M, Ambrogelly A. Separation of mAbs molecular variants by analytical hydrophobic interaction chromatography HPLC: overview and applications. MAbs. 2014;6:852–858. doi: 10.4161/mabs.28693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Ho Y, Kiparissides A, Pistikopoulos EN, Mantalaris A. Computational approach for understanding and improving GS-NS0 antibody production under hyperosmotic conditions. J Biosci Bioeng. 2012;113:88–98. doi: 10.1016/j.jbiosc.2011.08.022. [DOI] [PubMed] [Google Scholar]
  34. Huang L, Lu J, Wroblewski VJ, Beals JM, Riggin RM. In vivo deamidation characterization of monoclonal antibody by LC/MS/MS. Anal Chem. 2005;77:1432–1439. doi: 10.1021/ac0494174. [DOI] [PubMed] [Google Scholar]
  35. Huang YM, Hu W, Rustandi E, Chang K, Yusuf-Makagiansar H, Ryll T. Maximizing productivity of CHO cell-based fed-batch culture using chemically defined media conditions and typical manufacturing equipment. Biotechnol Prog. 2010;26:1400–1410. doi: 10.1002/btpr.436. [DOI] [PubMed] [Google Scholar]
  36. Jäger V, Büssow K, Wagner A, Weber S, Hust M, Frenzel A, Schirrmann T. High level transient production of recombinant antibodies and antibody fusion proteins in HEK293 cells. BMC Biotechnol. 2013;13:52. doi: 10.1186/1472-6750-13-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Jayapal KP, Wlaschin KF, Yap MGS, Hu WS. Recombinant protein therapeutics from CHO cells—20 years and counting. Chem Eng Prog. 2007;103:40–47. [Google Scholar]
  38. Jefferis R. Glycosylation as a strategy to improve antibody-based therapeutics. Nat Rev Drug Discov. 2009;8:226–234. doi: 10.1038/nrd2804. [DOI] [PubMed] [Google Scholar]
  39. Jones D, Kroos N, Anema R, van Montfort B, Vooys A, van der Kraats S, van der Helm E, Smits S, Schouten J, Brouwer K, Lagerwerf F, van Berkel P, Opstelten DJ, Logtenberg T, Bout A. High-level expression of recombinant IgG in the human cell line per.c6. Biotechnol Prog. 2003;19:163–168. doi: 10.1021/bp025574h. [DOI] [PubMed] [Google Scholar]
  40. Jones AJ, Papac DI, Chin EH, Keck R, Baughman SA, Lin YS, Kneer J, Battersby JE. Selective clearance of glycoforms of a complex glycoprotein pharmaceutical caused by terminal N-acetylglucosamine is similar in humans and cynomolgus monkeys. Glycobiology. 2007;17:529–540. doi: 10.1093/glycob/cwm017. [DOI] [PubMed] [Google Scholar]
  41. Kelley B. Industrialization of mAb production technology: the bioprocessing industry at a crossroads. MAbs. 2009;1(5):443–452. doi: 10.4161/mabs.1.5.9448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Kim JM, Kim JS, Park DH, Kang HS, Yoon J, Baek K, Yoon Y. Improved recombinant gene expression in CHO cells using matrix attachment regions. J Biotechnol. 2004;107:95–105. doi: 10.1016/j.jbiotec.2003.09.015. [DOI] [PubMed] [Google Scholar]
  43. Kishishita S, Nishikawa T, Shinoda Y, Nagashima H, Okamoto H, Takuma S, Aoyagi H. Effect of temperature shift on levels of acidic charge variants in IgG monoclonal antibodies in Chinese hamster ovary cell culture. J Biosci Bioeng. 2015;119:700–705. doi: 10.1016/j.jbiosc.2014.10.028. [DOI] [PubMed] [Google Scholar]
  44. Köhler G, Milstein C. Continuous cultures of fused cells secreting antibody of predefined specificity. Nature. 1975;256:495–497. doi: 10.1038/256495a0. [DOI] [PubMed] [Google Scholar]
  45. Kuczewski M, Schirmer E, Lain B, Zarbis-Papastoitsis G. A single-use purification process for the production of a monoclonal antibody produced in a PER.C6 human cell line. Biotechnol J. 2011;6:56–65. doi: 10.1002/biot.201000292. [DOI] [PubMed] [Google Scholar]
  46. Kunert R, Casanova E. Recent advances in recombinant protein production: BAC-based expression vectors, the bigger the better. Bioengineered. 2013;4:258–261. doi: 10.4161/bioe.24060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Kunert R, Gach J, Katinger H. Expression of a Fab fragment in CHO and Pichia pastoris—a comparative case study. BioProcess Int. 2008;5:34–40. [Google Scholar]
  48. Le Fourn V, Girod PA, Buceta M, Regamey A, Mermod N. CHO cell engineering to prevent polypeptide aggregation and improve therapeutic protein secretion. Metab Eng. 2014;21:91–102. doi: 10.1016/j.ymben.2012.12.003. [DOI] [PubMed] [Google Scholar]
  49. Lee JC, Chang HN, Oh DJ. Recombinant antibody production by perfusion cultures of rCHO cells in a depth filter perfusion system. Biotechnol Prog. 2005;21:134–139. doi: 10.1021/bp0497942. [DOI] [PubMed] [Google Scholar]
  50. Li F, Vijayasankaran N, Shen AY, Kiss R, Amanullah A. Cell culture processes for monoclonal antibody production. MAbs. 2010;2:466–479. doi: 10.4161/mabs.2.5.12720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Li B, Ryan PW, Ray BH, Leister KJ, Sirimuthu NM, Ryder AG. Rapid characterization and quality control of complex cell culture media solutions using raman spectroscopy and chemometrics. Biotechnol Bioeng. 2010;107:290–301. doi: 10.1002/bit.22813. [DOI] [PubMed] [Google Scholar]
  52. Lingg N, Berndtsson M, Hintersteiner B, Schuster M, Bardor M, Jungbauer A. Highly linear pH gradients for analyzing monoclonal antibody charge heterogeneity in the alkaline range: validation of the method parameters. J Chromatogr A. 2014;1373:124–130. doi: 10.1016/j.chroma.2014.11.021. [DOI] [PubMed] [Google Scholar]
  53. Liu H, Gaza-Bulseco G, Faldu D, Chumsae C, Sun J. Heterogeneity of monoclonal antibodies. J Pharm Sci. 2008;97:2426–2447. doi: 10.1002/jps.21180. [DOI] [PubMed] [Google Scholar]
  54. Luan Y, Wang W, Nolan R, Drapeau D. Defined medium development for high yielding mammalian cell culture processes. San Francisco, CA: IBC & Bioprocess International Conference; 2006. [Google Scholar]
  55. Macauley-Patrick S, Fazenda ML, McNeil B, Harvey LM. Heterologous protein production using the Pichia pastoris expression system. Yeast. 2005;22:249–270. doi: 10.1002/yea.1208. [DOI] [PubMed] [Google Scholar]
  56. Maccani A, Landes N, Stadlmayr G, Maresch D, Leitner C, Maurer M, Gasser B, Ernst W, Kunert R, Mattanovich D. Pichia pastoris secretes recombinant proteins less efficiently than Chinese hamster ovary cells but allows higher space-time yields for less complex proteins. Biotechnol J. 2014;9:526–537. doi: 10.1002/biot.201300305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Miyoshi E, Noda K, Yamaguchi Y, Inoue S, Ikeda Y, Wang W, Ko JH, Uozumi N, Li W, Taniguchi N. The alpha1-6-fucosyltransferase gene and its biological significance. Biochim Biophys Acta. 1999;1:9–20. doi: 10.1016/S0304-4165(99)00166-X. [DOI] [PubMed] [Google Scholar]
  58. Mohan C, Lee GM. Effect of inducible co-overexpression of protein disulfide isomerase and endoplasmic reticulum oxidoreductase on the specific antibody productivity of recombinant Chinese hamster ovary cells. Biotechnol Bioeng. 2010;107:337–346. doi: 10.1002/bit.22781. [DOI] [PubMed] [Google Scholar]
  59. Nallet S, Fornelli L, Schmitt S, Parra J, Baldi L, Tsybin YO, Wurm FM. Glycan variability on a recombinant IgG antibody transiently produced in HEK-293E cells. New Biotechnol. 2012;29:471–476. doi: 10.1016/j.nbt.2012.02.003. [DOI] [PubMed] [Google Scholar]
  60. Parekh RB, Dwek RA, Sutton BJ, Fernandes DL, Leung A, Stanworth D, Rademacher TW, Mizuochi T, Taniguchi T, Matsuta K. Association of rheumatoid arthritis and primary osteoarthritis with changes in the glycosylation pattern of total serum IgG. Nature. 1985;316:452–457. doi: 10.1038/316452a0. [DOI] [PubMed] [Google Scholar]
  61. Paul AJ, Schwab K, Hesse F. Direct analysis of mAb aggregates in mammalian cell culture supernatant. BMC Biotechnol. 2014;14:99. doi: 10.1186/s12896-014-0099-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Pedersen JT, Henry AH, Searle SJ, Guild BC, Roguska M, Rees AR. Comparison of surface accessible residues in human and murine immunoglobulin Fv domains. Implication for humanization of murine antibodies. J Mol Biol. 1994;235(3):959–973. doi: 10.1006/jmbi.1994.1050. [DOI] [PubMed] [Google Scholar]
  63. Quan C, Alcala E, Petkovska I, Matthews D, Canova-Davis E, Taticek R, Ma S. A study in glycation of a therapeutic recombinant humanized monoclonal antibody: where it is, how it got there, and how it affects charge-based behavior. Anal Biochem. 2008;373:179–191. doi: 10.1016/j.ab.2007.09.027. [DOI] [PubMed] [Google Scholar]
  64. Raju TS. Terminal sugars of Fc glycans influence antibody effector functions of IgGs. Curr Opin Immunol. 2008;20:471–478. doi: 10.1016/j.coi.2008.06.007. [DOI] [PubMed] [Google Scholar]
  65. Raju TS, Lang SE. Diversity in structure and functions of antibody sialylation in the Fc. Curr Opin Biotechnol. 2014;30:147–152. doi: 10.1016/j.copbio.2014.06.014. [DOI] [PubMed] [Google Scholar]
  66. Rea JC, Freistadt BS, McDonald D, Farnan D, Wang YJ. Capillary ion-exchange chromatography with nanogram sensitivity for the analysis of monoclonal antibodies. J Chromatogr A. 2015;1424:77–85. doi: 10.1016/j.chroma.2015.11.002. [DOI] [PubMed] [Google Scholar]
  67. Reinhart D, Damjanovic L, Kaisermayer C, Kunert R. Benchmarking of commercially available CHO cell culture media for antibody production. Appl Microbiol Biotechnol. 2015;99:4645–4657. doi: 10.1007/s00253-015-6514-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Robert P, Hotchko M (2013) Clinical use of plasma products. MRB Marketing Research Bureau. http://marketingresearchbureau.com/plasma-industry/clinical-uses-of-plasma-products. Accessed 12 September 2015
  69. Roguska MA, Pedersen JT, Keddy CA, Henry AH, Searle SJ, Lambert JM, Goldmacher VS, Blättler WA, Rees AR, Guild BC. Humanization of murine monoclonal antibodies through variable domain resurfacing. Proc Natl Acad Sci U S A. 1994;91(3):969–973. doi: 10.1073/pnas.91.3.969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Satoh M, Iida S, Shitara K. Non-fucosylated therapeutic antibodies as next-generation therapeutic antibodies. Expert Opin Biol Ther. 2006;6:1161–1173. doi: 10.1517/14712598.6.11.1161. [DOI] [PubMed] [Google Scholar]
  71. Scallon BJ, Tam SH, McCarthy SG, Cai AN, Raju TS. Higher levels of sialylated Fc glycans in immunoglobulin G molecules can adversely impact functionality. Mol Immunol. 2007;44:1524–1534. doi: 10.1016/j.molimm.2006.09.005. [DOI] [PubMed] [Google Scholar]
  72. Shi X, Karkut T, Chamankhah M, Alting-Mees M, Hemmingsen SM, Hegedus D. Optimal conditions for the expression of a single-chain antibody (scFv) gene in Pichia pastoris. Protein Expr Purif. 2003;28:321–330. doi: 10.1016/S1046-5928(02)00706-4. [DOI] [PubMed] [Google Scholar]
  73. Smith SL. Ten years of Orthoclone OKT3 (muromonab-CD3): a review. J Transpl Coord. 1996;6(3):109–119. doi: 10.7182/prtr.1.6.3.8145l3u185493182. [DOI] [PubMed] [Google Scholar]
  74. Spens E, Häggström L. Defined protein and animal component-free NS0 fed-batch culture. Biotechnol Bioeng. 2007;98:1183–1194. doi: 10.1002/bit.21509. [DOI] [PubMed] [Google Scholar]
  75. Stansfield SH, Allen EE, Dinnis DM, Racher AJ, Birch JR, James DC. Dynamic analysis of GS-NS0 cells producing a recombinant monoclonal antibody during fed-batch culture. Biotechnol Bioeng. 2007;97:410–424. doi: 10.1002/bit.21263. [DOI] [PubMed] [Google Scholar]
  76. Telikepalli SN, Kumru OS, Kalonia C, Esfandiary R, Joshi SB, Middaugh CR, Volkin DB. Structural characterization of IgG1 mAb aggregates and particles generated under various stress conditions. J Pharm Sci. 2014;103:796809. doi: 10.1002/jps.23839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Tigges M, Fussenegger M. Xbp1-based engineering of secretory capacity enhances the productivity of Chinese hamster ovary cells. Metab Eng. 2006;8:264–272. doi: 10.1016/j.ymben.2006.01.006. [DOI] [PubMed] [Google Scholar]
  78. Trummer E, Fauland K, Seidinger S, Schriebl K, Lattenmayer C, Kunert R, Vorauer-Uhl K, Weik R, Borth N, Katinger H, Müller D. Process parameter shifting: Part I. Effect of DOT, pH, and temperature on the performance of Epo-Fc expressing CHO cells cultivated in controlled batch bioreactors. Biotechnol Bioeng. 2006;94:1033–1044. doi: 10.1002/bit.21013. [DOI] [PubMed] [Google Scholar]
  79. Trummer E, Fauland K, Seidinger S, Schriebl K, Lattenmayer C, Kunert R, Vorauer-Uhl K, Weik R, Borth N, Katinger H, Müller D. Process parameter shifting: Part II. Biphasic cultivation-A tool for enhancing the volumetric productivity of batch processes using Epo-Fc expressing CHO cells. Biotechnol Bioeng. 2006;94:1045–1052. doi: 10.1002/bit.20958. [DOI] [PubMed] [Google Scholar]
  80. Umaña P, Jean-Mairet J, Moudry R, Amstutz H, Bailey JE. Engineered glycoforms of an antineuroblastoma IgG1 with optimized antibody-dependent cellular cytotoxic activity. Nat Biotechnol. 1999;17:176–180. doi: 10.1038/6179. [DOI] [PubMed] [Google Scholar]
  81. Wheeler TD, Sun JL, Pleiner S, Geier H, Dobberthien P, Studts J, Singh R, Fathollahi B. Microchip zone electrophoresis for high-throughput analysis of monoclonal antibody charge variants. Anal Chem. 2014;86:5416–5424. doi: 10.1021/ac500497n. [DOI] [PubMed] [Google Scholar]
  82. Xue J, Zhu LP, Wei Q. IgG-Fc N-glycosylation at Asn297 and IgA O-glycosylation in the hinge region in health and disease. Glycoconj J. 2013;8:735–745. doi: 10.1007/s10719-013-9481-y. [DOI] [PubMed] [Google Scholar]
  83. Yamada E, Tsukamoto Y, Sasaki R, Yagyu K, Takahashi N. Structural changes of immunoglobulin G oligosaccharides with age in healthy human serum. Glycoconj J. 1997;14:401–405. doi: 10.1023/A:1018582930906. [DOI] [PubMed] [Google Scholar]
  84. Zahn-Zabal M, Kobr M, Girod PA, Imhof M, Chatellard P, de Jesus M, Wurm F, Mermod N. Development of stable cell lines for production or regulated expression using matrix attachment regions. J Biotechnol. 2001;87:29–42. doi: 10.1016/S0168-1656(00)00423-5. [DOI] [PubMed] [Google Scholar]
  85. Zboray K, Sommeregger W, Bogner E, Gili A, Sterovsky T, Fauland K, Grabner B, Stiedl P, Moll HP, Bauer A, Kunert R, Casanova E. Heterologous protein production using euchromatin-containing expression vectors in mammalian cells. Nucleic Acids Res. 2015;43:e102. doi: 10.1093/nar/gkv475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Zeiser A, Bédard C, Voyer R, Jardin B, Tom R, Kamen AA. On-line monitoring of the progress of infection in Sf-9 insect cell cultures using relative permittivity measurements. Biotechnol Bioeng. 1999;63:122–126. doi: 10.1002/(SICI)1097-0290(19990405)63:1&#x0003c;122::AID-BIT13&#x0003e;3.0.CO;2-I. [DOI] [PubMed] [Google Scholar]
  87. Zhang X, Garcia IF, Baldi L, Hacker DL, Wurm FM. Hyperosmolarity enhances transient recombinant protein yield in Chinese hamster ovary cells. Biotechnol Lett. 2010;32:1587–1592. doi: 10.1007/s10529-010-0331-8. [DOI] [PubMed] [Google Scholar]

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