Mechanistic model-based characterization of size-exclusion-mixed-mode resins for removal of monoclonal antibody fragments.

Although antibody fragments are a critical impurity to remove from process streams, few platformable purification techniques have been developed to this end. In this work, a novel size-exclusion-mixed-mode (SEMM) resin was characterized with respect to its efficacy in mAb fragment removal. Inverse size-exclusion chromatography showed that the silica-based resin had a narrow pore size distribution and a median pore radius of roughly 6.2 nm. Model-based characterization was carried out with Chromatography Analysis and Design Toolkit (CADET), using the general rate model and the multicomponent Langmuir isotherm. Model parameters were obtained from fitting breakthrough curves, performed at multiple residence times, for a mixture of mAb, aggregates, and an array of fragments (varying in size). Accurate fits were obtained to the frontal chromatographic data across a range of residence times. Model validation was then performed with a scaled-up column, altering residence time and feed composition from the calibration run. Accurate predictions were obtained, thereby illustrating the model's interpolative and extrapolative capabilities. Additionally, the SEMM resin achieved 90% mAb yield, 37% aggregate removal, 29% [Formula: see text] removal, 54% Fab/Fc removal, 100% Fc fragments removal, and a productivity of 72.3 g mAbL×h. Model predictions for these statistics were all within 5%. Simulated batch uptake experiments showed that resin penetration depth was directly related to protein size, with the exception of the aggregate species, and that separation was governed by differential pore diffusion rates. Additional simulations were performed to characterize the dependence of fragment removal on column dimension, load density, and feed composition. Fragment removal was found to be highly dependent on column load density, where optimal purification was achieved below 100 mg protein/mL column. Furthermore, fragment removal was dependent on column volume (constant load mass), but agnostic to whether column length or diameter was changed. Lastly, the dependence on feed composition was shown to be complex. While fragment removal was inversely related to fragment mass fraction in the feed, the extent depended on fragment size. Overall, the results from this study illustrated the efficacy of the SEMM resin in fragment and aggregate removal and elucidated relationships with key operational parameters through model-based characterization.

Factors affecting product association as a mechanism of host-cell protein persistence in bioprocessing.

Product association of host-cell proteins (HCPs) to monoclonal antibodies (mAbs) is widely regarded as a mechanism that can enable HCP persistence through multiple purification steps and even into the final drug substance. Discussion of this mechanism often implies that the existence or extent of persistence is directly related to the strength of binding but actual measurements of the binding affinity of such interactions remain sparse. Two separate avenues of investigation of HCP-mAb binding are reported here. One is the measurement of the affinity of binding of individual, commonly persistent Chinese hamster ovary (CHO) HCPs to each of a set of mAbs, and the other uses quantitative proteomic measurements to assess binding of HCPs in a null CHO harvested cell culture fluid (HCCF) to mAbs produced in the same cell line. The individual HCP measurements show that the binding affinities of individual HCPs to different mAbs can vary appreciably but are rarely very high, with only weak pH dependence. The measurements on the null HCCF allow estimation of individual HCP-mAb affinities; these are typically weaker than those seen in affinity measurements on isolated HCPs. Instead, the extent of binding appears correlated with the initial abundance of individual HCPs in the HCCF and the forms of the HCPs in the solution, i.e., whether HCPs are present as free molecules or as parts of large aggregates. Separate protein A chromatography experiments performed by feeding different fractions of a mAb-containing HCCF obtained by size-exclusion chromatography (SEC) showed clear differences in the number and identity of HCPs found in the protein A eluate. These results indicate a significant role for HCP-mAb association in determining HCP persistence through protein A chromatography, presumably through binding of HCP-mAb complexes to the resin. Overall, the results illustrate the importance of considering more fully the biophysical context of HCP-product association in assessing the factors that may affect the phenomenon and determine its implications. Knowledge of the abundances and the forms of individual or aggregated HCPs in HCCF are particularly significant, emphasizing the integration of upstream and downstream bioprocessing and the importance of understanding the collective properties of HCPs in addition to just the biophysical properties of individual HCPs.

Identification and characterization of CHO host-cell proteins in monoclonal antibody bioprocessing.

Host-cell proteins (HCPs) are the foremost class of process-related impurities to be controlled and removed in downstream processing steps in monoclonal antibody (mAb) manufacturing. However, some HCPs may evade clearance in multiple purification steps and reach the final drug product, potentially threatening drug stability and patient safety. This study extends prior work on HCP characterization and persistence in mAb process streams by using mass spectrometry (MS)-based methods to track HCPs through downstream processing steps for seven mAbs that were generated by five different cell lines. The results show considerable variability in HCP identities in the processing steps but extensive commonality in the identities and quantities of the most abundant HCPs in the harvests for different processes. Analysis of HCP abundance in the harvests shows a likely relationship between abundance and the reproducibility of quantification measurements and suggests that some groups of HCPs may hinder the characterization. Quantitative monitoring of HCPs persisting through purification steps coupled with the findings from the harvest analysis suggest that multiple factors, including HCP abundance and mAb-HCP interactions, can contribute to the persistence of individual HCPs and the identification of groups of common, persistent HCPs in mAb manufacturing.

Characterization and implications of host-cell protein aggregates in biopharmaceutical processing.

In the production of biopharmaceuticals such as monoclonal antibodies (mAbs) and vaccines, the residual amounts of host-cell proteins (HCPs) are among the critical quality attributes. In addition to overall HCP levels, individual HCPs may elude purification, potentially causing issues in product stability or patient safety. Such HCP persistence has been attributed mainly to biophysical interactions between individual HCPs and the product, resin media, or residual chromatin particles. Based on measurements on process streams from seven mAb processes, we have found that HCPs in aggregates, not necessarily chromatin-derived, may play a significant role in the persistence of many HCPs. Such aggregates may also hinder accurate detection of HCPs using existing proteomics methods. The findings also highlight that certain HCPs may be difficult to remove because of their functional complementarity to the product; specifically, chaperones and other proteins involved in the unfolded protein response (UPR) are disproportionately present in the aggregates. The methods and findings described here expand our understanding of the origins and potential behavior of HCPs in cell-based biopharmaceutical processes and may be instrumental in improving existing techniques for HCP detection and clearance.

Towards continuous mAb purification: Clearance of host cell proteins from CHO cell culture harvests via "flow-through affinity chromatography" using peptide-based adsorbents.

The growth of advanced analytics in manufacturing monoclonal antibodies (mAbs) has highlighted the challenges associated with the clearance of host cell proteins (HCPs). Of special concern is the removal of "persistent" HCPs, including immunogenic and mAb-degrading proteins, that co-elute from the Protein A resin and can escape the polishing steps. Responding to this challenge, we introduced an ensemble of peptide ligands that target the HCPs in Chinese hamster ovary (CHO) cell culture fluids and enable mAb purification via flow-through affinity chromatography. This study describes their integration into LigaGuard™, an affinity adsorbent featuring an equilibrium binding capacity of ~30 mg of HCPs per mL of resin as well as dynamic capacities up to 16 and 22 mg/ml at 1- and 2-min residence times, respectively. When evaluated against cell culture harvests with different mAb and HCP titers and properties, LigaGuard™ afforded high HCP clearance, with logarithmic removal values (LRVs) up to 1.5, and mAb yield above 90%. Proteomic analysis of the effluents confirmed the removal of high-risk HCPs, including cathepsins, histones, glutathione-S transferase, and lipoprotein lipases. Finally, combining LigaGuard™ for HCP removal with affinity adsorbents for product capture afforded a global mAb yield of 85%, and HCP and DNA LRVs > 4.

The measurement and control of high-risk host cell proteins for polysorbate degradation in biologics formulation.

Nonionic surfactant polysorbates, including PS-80 and PS-20, are commonly used in the formulation of biotherapeutic products for both preventing surface adsorption and acting as stabilizer against protein aggregation. Trace levels of residual host cell proteins (HCPs) with lipase or esterase enzymatic activity have been shown to degrade polysorbates in biologics formulation. The measurement and control of these low abundance, high-risk HCPs for polysorbate degradation are an industry-wide challenge to achieve desired shelf life of biopharmaceuticals in liquid formulation, especially for high-concentration formulation product development. Here, we reviewed the challenges, recent advances, and future opportunities of analytical method development, risk assessment, and control strategies for polysorbate degradation during formulation development with a focus on enzymatic degradation. Continued efforts to advance our understanding of polysorbate degradation in biologics formulation will help develop high-quality medicines for patients.

Scale-up issues for commercial depth filters in bioprocessing.

Significant increases in cell density and product titer have led to renewed interest in the application of depth filtration for initial clarification of cell culture fluid in antibody production. The performance of these depth filters will depend on the local pressure and velocity distribution within the filter capsule, but these are very difficult to probe experimentally, leading to challenges in both process design and scale-up. We have used a combination of carefully designed experimental studies and computational fluid dynamics (CFD) to examine these issues in both lab-scale (SupracapTM 50) and pilot-scale (StaxTM ) depth filter modules, both employing dual-layer lenticular PDH4 media containing diatomaceous earth. The SupracapTM 50 showed a more rapid increase in transmembrane pressure and a more rapid DNA breakthrough during filtration of a Chinese Hamster Ovary cell culture fluid. These results were explained using CFD calculations which showed very different flow distributions within the modules. CFD predictions were further validated using measurements of the residence time distribution and dye binding in both the lab-scale and pilot-plant modules. These results provide important insights into the factors controlling the performance and scale-up of these commercially important depth filters as well as a framework that can be broadly applied to develop more effective depth filters and depth filtration processes.

Probing IgG1 FC-Multimodal Nanoparticle Interactions: A Combined Nuclear Magnetic Resonance and Molecular Dynamics Simulations Approach.

In this study, NMR and molecular dynamics simulations were employed to study IgG1 FC binding to multimodal surfaces. Gold nanoparticles functionalized with two multimodal cation-exchange ligands (Capto and Nuvia) were synthesized and employed to carry out solution-phase NMR experiments with the FC. Experiments with perdeuterated 15N-labeled FC and the multimodal surfaces revealed micromolar residue-level binding affinities as compared to millimolar binding affinities with these ligands in free solution, likely due to cooperativity and avidity effects. The binding of FC with the Capto ligand nanoparticles was concentrated near an aliphatic cluster in the CH2/CH3 interface, which corresponded to a focused hydrophobic region. In contrast, binding with the Nuvia ligand nanoparticles was more diffuse and corresponded to a large contiguous positive electrostatic potential region on the side face of the FC. Results with lower-ligand-density nanoparticles indicated a decrease in binding affinity for both systems. For the Capto ligand system, several aliphatic residues on the FC that were important for binding to the higher-density surface did not interact with the lower-density nanoparticles. In contrast, no significant difference was observed in the interacting residues on the FC to the high- and low-ligand density Nuvia surfaces. The binding affinities of FC to both multimodal-functionalized nanoparticles decreased in the presence of salt due to the screening of multiple weak interactions of polar and positively charged residues. For the Capto ligand nanoparticle system, this resulted in an even more focused hydrophobic binding region in the interface of the CH2 and CH3 domains. Interestingly, for the Nuvia ligand nanoparticles, the presence of salt resulted in a large transition from a diffuse binding region to the same focused binding region determined for Capto nanoparticles at 150 mM salt. Molecular dynamics simulations corroborated the NMR results and provided important insights into the molecular basis of FC binding to these different multimodal systems containing clustered (observed at high-ligand densities) and nonclustered ligand surfaces. This combined biophysical and simulation approach provided significant insights into the interactions of FC with multimodal surfaces and sets the stage for future analyses with even more complex biotherapeutics.

Behavior of Water Near Multimodal Chromatography Ligands and Its Consequences for Modulating Protein-Ligand Interactions.

Multimodal chromatography is a powerful approach for purifying proteins that uses ligands containing multiple modes of interaction. Recent studies have shown that selectivity in multimodal chromatographic separations is a function of the ligand structure and geometry. Here, we performed molecular dynamics simulations to explore how the ligand structure and geometry affect ligand-water interactions and how these differences in solution affect the nature of protein-ligand interactions. Our investigation focused on three chromatography ligands: Capto MMC, Nuvia cPrime, and Prototype 4, a structural variant of Nuvia cPrime. First, the solvation characteristics of each ligand were quantified via three metrics: average water density, fluctuations, and residence time. We then explored how solvation was perturbed when the ligand was bound to the protein surface and found that the probability of the phenyl ring dewetting followed the order: Capto MMC > Prototype 4 > Nuvia cPrime. To explore how these differences in dewetting affect protein-ligand interactions, we calculated the probability of each ligand binding to different types of residues on the protein surface and found that the probability of binding to a hydrophobic residue followed the same order as the dewetting behavior. This study illustrates the role that wetting and dewetting play in modulating protein-ligand interactions.

Identification of preferred multimodal ligand-binding regions on IgG1 FC using nuclear magnetic resonance and molecular dynamics simulations.

In this study, the binding of multimodal chromatographic ligands to the IgG1 FC domain were studied using nuclear magnetic resonance and molecular dynamics simulations. Nuclear magnetic resonance experiments carried out with chromatographic ligands and a perdeuterated 15 N-labeled FC domain indicated that while single-mode ion exchange ligands interacted very weakly throughout the FC surface, multimodal ligands containing negatively charged and aromatic moieties interacted with specific clusters of residues with relatively high affinity, forming distinct binding regions on the FC . The multimodal ligand-binding sites on the FC were concentrated in the hinge region and near the interface of the CH 2 and CH 3 domains. Furthermore, the multimodal binding sites were primarily composed of positively charged, polar, and aliphatic residues in these regions, with histidine residues exhibiting some of the strongest binding affinities with the multimodal ligand. Interestingly, comparison of protein surface property data with ligand interaction sites indicated that the patch analysis on FC corroborated molecular-level binding information obtained from the nuclear magnetic resonance experiments. Finally, molecular dynamics simulation results were shown to be qualitatively consistent with the nuclear magnetic resonance results and to provide further insights into the binding mechanisms. An important contribution to multimodal ligand-FC binding in these preferred regions was shown to be electrostatic interactions and π-π stacking of surface-exposed histidines with the ligands. This combined biophysical and simulation approach has provided a deeper molecular-level understanding of multimodal ligand-FC interactions and sets the stage for future analyses of even more complex biotherapeutics.

A thermodynamic evaluation of antibody-surface interactions in multimodal cation exchange chromatography.

In this study, the thermodynamics of binding of two industrial mAbs to multimodal cation exchange systems was investigated over a range of buffer and salt conditions via a van't Hoff analysis of retention data. Isocratic chromatography was first employed over a range of temperature and salt conditions on three multimodal resins and the retention data were analyzed in both the low and high salt regimes. While mAb retention decreased with salt for all resins at low salts, retention increased at high salts for two of the resins, suggesting a shift from electrostatic to more hydrophobic driven interactions. The retention data at various temperatures were then employed to generate non-linear van't Hoff plots which were fit to the quadratic form of the van't Hoff equation. At low salts, retention of both mAbs decreased with increasing temperature and the van't Hoff plots were concave downward on Capto MMC and Nuvia cPrime, while being concave upward on Capto MMC ImpRes. Different trends were observed on some of the resins with respect to both the concavity of the van't Hoff plots as well as the impact of temperature on the favorable enthalpies in the low salt regime. Interestingly, while increasingly favorable enthalpy with temperature was observed with Capto MMC and Nuvia cPrime at low salt, favorable enthalpy decreased with temperature for Capto MMC ImpRes. At high salts, binding of both mAbs on the two Capto resins were consistently entropically driven, consistent with desolvation. While the negative heat capacity data at low salts indicated that desolvation of polar/charged groups were important in Capto MMC and Nuvia cPrime, the positive data suggested that desolvation of non-polar groups were more important with Capto MMC ImpRes. Finally, the data at high salts indicated that desolvation of non-polar groups was the major driver for binding of both mAbs to the Capto resins under these conditions.

A direct RT qPCR method for quantification of retrovirus-like particles in biopharmaceutical production with CHO cells.

Chinese hamster ovary (CHO) cells are the host cell of choice for manufacturing biologic drugs, like monoclonal antibody, in the biopharmaceutical industry. Retrovirus-like particles (RVLPs) are made during the manufacturing process with CHO cells and it is incumbent upon the manufacturer to perform risk assessment based on levels of RVLP in unprocessed bulk. Quantification of RVLP using electron microscopy (EM) is the standard method. However, reverse transcription based real-time PCR (RT qPCR) is an alternative method available. This method involves RNase digestion of cell culture fluid to remove free RNA, followed by extraction of total nucleic acid and digestion with DNase to remove extracted DNA molecules, and then finally reverse transcription and PCR. Here we report a method where the nucleic acids extraction step is eliminated prior to qPCR. In this method the cell-free culture supernatant sample is digested with thermolabile DNase and RNase at the same time in a 96-well PCR plate; subsequently the enzymes are heat-denatured; then RT qPCR reagents are added to the wells in the PCR plate along with standards and controls in other wells of the same plate; finally the plate is subjected to RT qPCR for analysis of RVLP RNA in the samples. This direct RT qPCR method for RVLP is sensitive to 10 particles of RVLP with good precision and accuracy and has a wide linear range of quantification. The method has been successfully tested with different production batches, shown to be consistent, and correlates well with the extraction-based method. However, the results are about 1-log higher compared to EM method. This method simplifies the RVLP quantification protocol, reduces time of analysis and leads to increased assay sensitivity and development of automated high-throughput methods. Additionally, the method can be an added tool for viral clearance studies, by testing process-intermediate samples like Protein A column and ion-exchange column eluates, for increased confidence in purification of biologics manufactured in CHO cell culture.

Effectiveness of host cell protein removal using depth filtration with a filter containing diatomaceous earth.

The increased cell density and product titer in biomanufacturing have led to greater use of depth filtration as part of the initial clarification of cell culture fluid, either as a stand-alone unit operation or after centrifugation. Several recent studies have shown that depth filters can also reduce the concentration of smaller impurities like host cell proteins (HCP) and DNA, decreasing the burden on subsequent chromatographic operations. The objective of this study was to evaluate the HCP removal properties of the Pall PDH4 depth filter media, a model depth filter containing diatomaceous earth, cellulose fibers, and a binder. Experiments were performed with both cell culture fluid (CCF) and a series of model proteins with defined pI, molecular weight, and hydrophobicity chosen to match the range of typical HCP. The location of adsorbed (fluorescently labeled) proteins within the depth filters was determined using confocal scanning laser microscopy. Protein binding was greater for proteins that were positively charged and more hydrophobic, consistent with adsorption to the negatively charged diatomaceous earth. The lowest degree of binding was seen with proteins near their pI, which were poorly removed by this filter. These results provide new mechanistic insights into the factors governing the filter capacity and performance characteristics of depth filters containing diatomaceous earth that are widely used in the clarification of CCF.

Data-driven multi-objective optimization via grid compatible simplex technique and desirability approach for challenging high throughput chromatography applications.

Recently, a grid compatible Simplex variant has been demonstrated to identify optima consistently and rapidly in challenging high throughput (HT) applications in early bioprocess development. Here, this method is extended by deploying it to multi-objective optimization problems. Three HT chromatography case studies are presented, each posing challenging early development situations and including three responses which were amalgamated by the adoption of the desirability approach. The suitability of a design of experiments (DoE) methodology per case study, using regression analysis in addition to the desirability approach, was evaluated for a large number of weights and in the presence of stringent and lenient performance requirements. Despite the adoption of high-order models, this approach had low success in identification of the optimal conditions. For the deployment of the Simplex approach, the deterministic specification of the weights of the merged responses was avoided by including them as inputs in the formulated multi-objective optimization problem, facilitating this way the decision making process. This, and the ability of the Simplex method to locate optima, rendered the presented approach highly successful in delivering rapidly operating conditions, which belonged to the Pareto set and offered a superior and balanced performance across all outputs compared to alternatives. Moreover, its performance was relatively independent of the starting conditions and required sub-minute computations despite its higher order mathematical functionality compared to DoE techniques. These evidences support the suitability of the grid compatible Simplex method for early bioprocess development studies involving complex data trends over multiple responses. © 2018 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog., 34:1393-1406, 2018.

Defining the mechanistic binding of viral particles to a multi-modal anion exchange resin.

A multi-tiered approach to determine the binding mechanism of viral clearance utilizing a multi-modal anion exchange resin was applied to a panel of four viral species that are typically used in validating viral clearance studies (i.e., X-MuLV, MVM, REO3, and PrV). First, virus spiked buffer-only experiments were conducted to evaluate the virus's affinity for single mode and multi-modal chromatography resins under different buffer conditions in a chromatography column setting. From these results we hypothesize that the mechanisms of binding of the viruses involve binding to both the hydrophobic and anionic functional groups. This mechanistic view agreed with the general surface characteristics of the different virus species in terms of isoelectric point and relative hydrophobicity values. This hypothesized mechanistic binding was then tested with commercially relevant, in-process materials, in which competitive binding occurred between the load components (e.g., viruses, target product, and impurities) and the resin. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1019-1026, 2018.

Integrated viral clearance strategies-reflecting on the present, projecting to the future.

Viral clearance and inactivation are critical steps in ensuring the safety of biological products derived from mammalian cell culture and are a component of an adventitious agent control strategy which spans both upstream and downstream processes. Although these approaches have been sufficient to support the development of biologics to date, the empirical and semi-quantitative nature of the approach leaves some potential gaps. For example, the concept of performing a quantitative risk assessment for the downstream components of virus safety was introduced in ICH Q5A for XMuLV. An ideal future state would be to perform a similar quantitative risk assessment for a range of viruses based on an assessment of potential virus risk in both upstream and downstream processes. This assessment combined with an integrated control strategy (including monitoring) would be extremely beneficial in minimizing potential adventitious agent risks. Significant progress has been achieved towards this goal in the last several years including recent advances in quantification of virus sequences in cell banks (ADVTIG), development of truly modular or generic viral clearance claims for specific unit operations, enhanced controls of upstream media (HTST/nanofiltration) and the use of RVLP for in-process monitoring. The recent shift towards continuous processing has the potential to enhance the criticality of in-line monitoring and the complexity of viral clearance and inactivation (owing to a wide range of potential 'worst case' viral clearance scenarios). However, gaps exist in, firstly, the ability to quantify potential virus risk levels in process streams in real-time, secondly, mechanistic understanding of virus/chromatography media interactions, and thirdly, mechanistic understanding of virus/filter interactions. Some new technologies may also need to be developed to allow for real-time confirmation of virus inactivation and clearance to support process development (both batch and continuous) and assessment of the impact of process deviations during manufacturing. This review paper provides an overview of the current state of an overall integrated control strategy for upstream and downstream processing and highlights the investments that could be pursued to achieve the future state of a quantitative virus risk assessment for a range of viruses. One potential approach to address these gaps is the use of data mining from large, comprehensive and diverse data sets to establish heuristic rules for virus detection, clearance and inactivation followed by specific hypothesis-driven experiments for cases that fall outside of the normal paradigm. Once this approach reaches a mature state suitable for implementation, there is an opportunity to update regulatory guidance (e.g. ICH Q5A) accordingly.

Evaluating the effect of in-process material on the binding mechanisms of surrogate viral particles to a multi-modal anion exchange resin.

Bacteriophage binding mechanisms to multi-modal anion exchange resin may include both anion exchange and hydrophobic interactions, or the mechanism can be dominated by a single moiety. However, previous studies have reported binding mechanisms defined for simple solutions containing only buffer and a surrogate viral spike (i.e. bacteriophage ΦX174, PR772, and PP7). We employed phage spiked in-process monoclonal antibody (mAb) pools to model binding under bioprocessing conditions. These experiments allow the individual contributions of the mAb, in-process impurities, and buffer composition on mechanistic removal of phages to be studied. PP7 and PR772 use synergetic binding by the positively charged quaternary amine and the hydrophobic aromatic phenyl group to bind multi-modal resin. ΦX174's binding mechanism remains inconclusive due to operating conditions.

13C metabolic flux analysis identifies limitations to increasing specific productivity in fed-batch and perfusion.

Industrial cell culture requires substantial energy to generate protein. The protein generated is not only the product of interest (IgG in this case), but also the protein associated with biomass. Here, 13C-Metabolic Flux Analysis (13C-MFA) was utilized to compare the stationary phase of a fed-batch process to a perfusion process producing the same product by the same clone. The fed-batch process achieved significantly higher specific productivity, approximately 60% greater than the perfusion process. In spite of this, a general lack of difference was observed when globally comparing glycolysis, pentose phosphate pathway, and TCA cycle fluxes. In contrast, gross growth rate was significantly different, approximately 80% greater in the perfusion process. This difference was concealed by a significantly greater death rate in the perfusion process, such that net growth rates were both similar and near-zero. When considering gross growth rate and IgG specific productivity, total protein specific productivity (Biomass+ IgG) differed little, offering rationale for the observed central carbon pathway similarities. Significant differences were identified in anaplerotic branched-chain amino acid (BCAA) contributions by 13C-MFA. The perfusion process exhibited markedly higher (up to three times) BCAA catabolism, an observation often associated with increased death.

The step-wise framework to design a chromatography-based hydrophobicity assay for viral particles.

A high-salt, hydrophobic interaction chromatography (HIC) method was developed to measure the relative hydrophobicity of a diverse set of solutes. Through the careful control of buffer pH and salt concentration, this assay was then used to ascertain for the first time the relative hydrophobicity values of three different bacteriophage, four mammalian viruses, and a range of biotech medicinal proteins as benchmarked to protein standards previously characterized for hydrophobicity.

A step-wise approach to define binding mechanisms of surrogate viral particles to multi-modal anion exchange resin in a single solute system.

Multi-modal anion exchange resins combine properties of both anion exchange and hydrophobic interaction chromatography for commercial protein polishing and may provide some viral clearance as well. From a regulatory viral clearance claim standpoint, it is unclear if multi-modal resins are truly orthogonal to either single-mode anion exchange or hydrophobic interaction columns. To answer this, a strategy of solute surface assays and High Throughput Screening of resin in concert with a scale-down model of large scale chromatography purification was employed to determine the predominant binding mechanisms of a panel of bacteriophage (i.e., PR772, PP7, and ϕX174) to multi-modal and single mode resins under various buffer conditions. The buffer conditions were restricted to buffer environments suggested by the manufacturer for the multi-modal resin. Each phage was examined for estimated net charge expression and relative hydrophobicity using chromatographic based methods. Overall, PP7 and PR772 bound to the multimodal resin via both anionic and hydrophobic moieties, while ϕX174 bound predominantly by the anionic moiety. Biotechnol. Bioeng. 2017;114: 1487-1494. © 2017 Wiley Periodicals, Inc.