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Therapeutic bispecific antibodies are formed by assembly of multichain polypeptides. In general, a bispecific antibody has two different light chains and two different heavy chains that fold and correctly pair via engineered interchain interactions. Because of some incorrect assembly, product-related impurities can be prevalent (e.g., half molecules, mispaired light chains, homodimers), requiring its removal during subsequent purification. In this study, we investigated the modulation of impurity levels in a stable Chinese hamster ovary cell line X expressing a bispecific antibody A formed by two light chains (LC1 and LC2) and two heavy chains (HC1 and HC2) that assembled intracellularly into a heterodimer (LC1-HC1 + LC2-HC2) via engineered charged residues. Cell line X exhibited the best volumetric productivity, growth, and viability in culture compared with other clones but also showed higher levels of half antibody species (>10%); therefore, to minimize process yield loss, better understanding, and control of impurity formation was pursued. We found this cell line decreased half antibody levels from 16% to 1% when temperature changed from 36°C to 32.5°C or 31.5°C. However, lower temperature also increased high-molecular-weight (HMW) species from 4% to 12%. To determine the impurity species composition, we characterized enriched fractions with half antibody or HMW. Intact mass spectrometry analysis revealed half antibody was LC2-HC2, whereas HMW was a mixture with ~50% as LC1-HC1 homodimer. Results suggested LC2-HC2 was easily folded and could be secreted as half antibody, especially at 36°C. On the contrary, LC1-HC1 was more susceptible to misfold or aggregate, a phenomenon more acute for cell line X at lower culture temperature because of 60% increased LC1 and HC1 messenger RNA levels. Although temperature modulation was cell line X-specific, the propensity of LC2-HC2 to form half antibodies and LC1-HC1 to aggregate appeared in other cell lines also expressing bispecific antibody A, suggesting an amino-acid sequence-dependent mechanism. In summary, impurity formation in cell line X was temperature-dependent and was influenced by different molecule characteristics between the LC1-HC1 and LC2-HC2 parts. Ultimately, we selected a biphasic cell culture process with a growth phase followed by a lower temperature phase to improve product quality and purification yield.

Mammalian cell banks for biopharmaceutical production are usually derived from a single progenitor cell. Different methods to estimate the probability that the cell banks are clonally derived, or the probability of clonality (PoC), associated with various cloning workflows have been reported previously. In this review, a systematic analysis and comparison of the methods used to calculate the PoC are provided. As the single cell deposition and high-resolution imaging technologies continue to advance and the cloning workflow evolves, an aligned understanding and best practice on estimating the PoC is necessary to compare different cloning workflows adopted across the biopharmaceutical industry and it will help to accelerate regulatory acceptance.

Regulatory guidelines require the sponsors to provide assurance of clonality of the production cell line, and when such evidence is not available, additional studies are typically required to further ensure consistent long-term manufacturing of the product. One potential approach to provide such assurance of clonal derivation of a production cell line is to characterize subclones generated from the original cell line and assess their phenotypic and genotypic similarity with the hypothesis that cell lines derived from a clonal bank will share performance, productivity and product quality characteristics. In this study, a production cell line that was cloned by a validated FACS approach coupled with day 0 imaging for verification of single-cell deposition was subcloned using validated FACS and imaging methods. A total of 46 subclones were analyzed for growth, productivity, product quality, copy number, and integration site analysis. Significant diversity in cell growth, protein productivity, product quality attributes, and copy number was observed between the subclones, despite stability of the parent clone over time. The diversity in protein productivity and quality of the subclones were reproduced across time and production scales, suggesting that the resulting population post sub-cloning originating from a single cell is stable but with unique properties. Overall, this work demonstrates that the characteristics of isolated subclones are not predictive of a clonally derived parental clone. Consequently, the analysis of subclones may not be an effective approach to demonstrate clonal origin of a cell bank. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:613-623, 2018.

Monoclonal antibodies (mAbs) are composed of two heavy chain (HC) and two light chain (LC) polypeptides. The proper folding and assembly of HC and LC is critical for antibody production. Current dogma indicates that the free HCs are retained in the endoplasmic reticulum (ER) unless assembled with LCs into antibodies, while the LCs on the other hand can be secreted as free monomer or dimer molecules. In this study, high levels of extracellular HC homodimers (7%-45%) were observed in the cell culture media during cell line development for mAb1. Excellent correlation (R2 > 0.9) between the level of free HC homodimers and the percentage of high molecular weight species indicates that the free HC homodimers might be causative of unwanted aggregation. Due to the different surface charge of HC homodimer and fully assembled antibodies, the unwanted extracellular HC homodimers were successfully removed by downstream processing, through a cation exchange chromatography step. Reduced capillary electrophoresis-sodium dodecyl sulfate (rCE-SDS) analysis of the cell culture media from different MTX-amplified pools indicated that insufficient expression of LC is one potential root cause for the high level of free HC homodimers. The level of free HC homodimers decreased significantly (3%-25%) after retransfecting the MTX amplified pools with additional LC gene. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:738-745, 2018.

Mammalian cell culture performance is influenced by both intrinsic (genetic) and extrinsic (media and process) factors. In this study, intrinsic capacity of various monoclonal antibody-producing Chinese Hamster Ovary (CHO) cell lines was compared by exposing them to the same culture condition. Microarray-based transcriptomics and LC-MS/MS shotgun proteomics technologies were utilized to obtain expression landscape of different cell lines. Specific transcripts and proteins correlating with productivity, growth rate and cell size have been identified. The proteomics analysis results showed a strong correlation between the intracellular protein expression levels of the recombinant DHFR and productivity. In contrast, neither the light chain nor the heavy chain of the recombinant monoclonal antibody showed correlation to productivity. Other top ranked proteins which demonstrated positive correlation to productivity included the adaptor protein complex subunits AP3D1and AP2B2, DNA repair protein DDB1 and the ER translocation complex component, SRPR. The subunits of molecular chaperone T-complex protein 1 and the regulator of mitochondrial one-carbon metabolism MTHFD2 showed negative correlation to productivity. The transcriptomics analysis has identified the regulators of calcium signaling, Tmem20 and Rcan1, as the top ranked genes displaying positive and negative correlation to productivity, respectively. For the second part of the study, the principal component analysis (PCA) was generated to view the underlying global structure of the expression data. A clear division and expression polarity was observed between the two distinct clusters of cell lines, independent of link to productivity or any other traits examined. The primary component of the PCA generated from either transcriptomics or proteomics data displayed a strong correlation to cell size and doubling time, while none of the main principal components showed correlation to productivity. Our findings suggest that productivity is rather a minor feature in the context of global transcriptional or protein expression space.

The physiological role of Dickkopf-1 (Dkk1) during postnatal bone growth in rodents and in adult rodents was examined utilizing an antibody to Dkk1 (Dkk1-Ab) that blocked Dkk1 binding to both low density lipoprotein receptor-related protein 6 (LRP6) and Kremen2, thereby preventing the Wnt inhibitory activity of Dkk1. Treatment of growing mice and rats with Dkk1-Ab resulted in a significant increase in bone mineral density because of increased bone formation. In contrast, treatment of adult ovariectomized rats did not appreciably impact bone, an effect that was associated with decreased Dkk1 expression in the serum and bone of older rats. Finally, we showed that Dkk1 plays a prominent role in adult bone by mediating fracture healing in adult rodents. These data suggest that, whereas Dkk1 significantly regulates bone formation in younger animals, its role in older animals is limited to pathologies that lead to the induction of Dkk1 expression in bone and/or serum, such as traumatic injury. © 2011 American Society for Bone and Mineral Research

Mammalian cell culture performance is influenced by both intrinsic (genetic) and extrinsic (media and process) factors. In this study, intrinsic capacity of various monoclonal antibody-producing Chinese Hamster Ovary (CHO) cell lines was compared by exposing them to the same culture condition. Microarray-based transcriptomics and LC-MS/MS shotgun proteomics technologies were utilized to obtain expression landscape of different cell lines. Specific transcripts and proteins correlating with productivity, growth rate and cell size have been identified. The proteomics analysis results showed a strong correlation between the intracellular protein expression levels of the recombinant DHFR and productivity. In contrast, neither the light chain nor the heavy chain of the recombinant monoclonal antibody showed correlation to productivity. Other top ranked proteins which demonstrated positive correlation to productivity included the adaptor protein complex subunits AP3D1and AP2B2, DNA repair protein DDB1 and the ER translocation complex component, SRPR. The subunits of molecular chaperone T-complex protein 1 and the regulator of mitochondrial one-carbon metabolism MTHFD2 showed negative correlation to productivity. The transcriptomics analysis has identified the regulators of calcium signaling, Tmem20 and Rcan1, as the top ranked genes displaying positive and negative correlation to productivity, respectively. For the second part of the study, the principal component analysis (PCA) was generated to view the underlying global structure of the expression data. A clear division and expression polarity was observed between the two distinct clusters of cell lines, independent of link to productivity or any other traits examined. The primary component of the PCA generated from either transcriptomics or proteomics data displayed a strong correlation to cell size and doubling time, while none of the main principal components showed correlation to productivity. Our findings suggest that productivity is rather a minor feature in the context of global transcriptional or protein expression space.