Biotechnology Progress最新文献

Recombinant adeno-associated viral vectors (rAAVs) are one of the most used vehicles for gene therapy, with five rAAV therapeutics commercially approved by the FDA. To improve product yield, we optimized the suspension production process of rAAV8 vectors carrying a proprietary transgene using a commercially available transfection reagent, FectoVIR-AAV. Using a miniaturized automated 250 mL scale bioreactor system, we generated models of vector genome (vg) titer, capsid (cp) titer, and Vg:Cp percentage from two multivariate design of experiment studies, one centered around bioreactor operating parameters, and another based on the transfection conditions. Using the optimized process returned from these models, the vector genome titer from the bioreactor was improved to beyond 1 × 10¹² vg/mL. Five critical parameters were identified that had large effects on the pre-purification vector quantity—the transfection pH, production pH, complexation time, viable cell density at transfection, and transfection reagent to DNA ratio. The optimized process was further assessed for its performance extending to six AAV serotypes, namely AAV1, AAV2, AAV5, AAV6, AAV8, and AAV9 carrying a transgene encoding for green fluorescent protein (GFP). Five of the six serotypes returned higher vector genome titers than the control condition. These data suggest that the choice of transfection reagent is a major factor in improving vector yield. The multivariate design of experiment approach is a powerful way to optimize production processes, and the optimized process from one AAV vector can to some extent be generalized to other serotypes and transgenes to accelerate development timelines of new programs.

Monoclonal antibodies (mAbs) are an essential class of biotherapeutics. A platform process is used for mAb development to ensure clinically safe and stable molecules. Regulatory authorities ensure that mAb production processes include sufficient viral clearance steps to achieve less than one virus particle per million doses of product. Virus filtration is used for size-based removal of enveloped and nonenveloped viruses during downstream processing of mAbs. Process development in mAb purification relies on empirical approaches and often includes adsorptive prefiltration to mitigate virus filter fouling. Opportunities for molecular-level prediction of mAb filterability are needed to plug the existing knowledge gap in downstream processing. A molecular-level approach to understanding the factors influencing mAb filterability may reduce process development time, material loss, and processing costs due to oversized virus filters. In this work, pH step gradient fractionation was applied on polished bulk mAb feed to obtain concentrated pools of fractionated mAb variants. Biophysical properties and quality attributes of fractionated pools, including oligomeric state (size), isoelectric point profile, diffusion interaction parameters, and glycoform profile, were determined using bioanalytical methods. Filterability (loading and throughput) of fractionated pools were evaluated. Statistical methods were used to obtain correlations between quality attributes of mAb fractions and filterability on the Viresolve Pro virus filter.

Recent optimizations of cell culture processes have focused on the final seed scale-up step (N − 1 stage) used to inoculate the production bioreactor (N-stage bioreactor) to enable higher inoculation cell densities (2–20 × 10⁶ cells/mL), which could shorten the production culture duration and/or increase the volumetric productivity. N − 1 seed process intensification can be achieved by either non-perfusion (enriched-batch or fed-batch) or perfusion culture to reach those higher final N − 1 viable cell densities (VCD). In this study, we evaluated how different N − 1 intensification strategies, specifically enriched-batch (EB) N − 1 versus perfusion N − 1, affect cell growth profiles and monoclonal antibody (mAb) productivity in the final N-stage production bioreactor operated in fed-batch mode. Three representative Chinese Hamster Ovary (CHO) cell lines producing different mAbs were cultured using either EB or perfusion N − 1 seeds and found that the N-stage cell growth and mAb productivities were comparable between EB N − 1 and perfusion N − 1 conditions for two of the cell lines but were very different for the third. In addition, within the two similar cell growth cell lines, differences in cell-specific productivity were observed. This suggests that the impact of the N − 1 intensification process on production was cell-line dependent. This study revealed that the N − 1 intensification strategy and the state of seeds from the different N − 1 conditions may affect the outcome of the N production stage, and thus, the choice of N − 1 intensification strategy could be a new target for future upstream optimization of mAb production.

Chinese hamster ovary (CHO) cells are widely used for the industrial production of therapeutic monoclonal antibodies (mAbs). To meet the increasing market demands, high productivity, and quality are required in cell culture. One of the critical attributes of mAbs, from a safety perspective, is mAb fragmentation. However, methods for preventing mAbs fragmentation in CHO cell culture are limited. In this study, we observed that the antibody fragment content increased with increasing titers in fed-batch cultures for all three cell lines expressing recombinant antibodies. Adding copper sulfate to the culture medium further increased the fragment content, suggesting the involvement of reactive oxygen species (ROS) in the fragmentation process. Though antioxidants may be helpful to scavenge ROS, several antioxidants are reported to decrease the productivity of CHO cells. Among the antioxidants examined, we observed that the addition of catechin or (−)-epigallocatechin gallate to the culture medium prevented fragmentation content by about 20% and increased viable cell density and titer by 30% and 10%, respectively. Thus, the addition of catechins or compounds of equivalent function would be beneficial for manufacturing therapeutic mAbs with a balance between high titers and good quality.

Fucosylation is an important quality attribute for therapeutic antibodies. Afucosylated antibodies exhibit higher therapeutic efficacies than their fucosylated counterparts through antibody-dependent cellular cytotoxicity (ADCC) mechanism. Since higher potency is beneficial in reducing dose or duration of the treatment, afucosylated antibodies have attracted a great deal of interest in biotherapeutics development. In this study, novel small molecules GDP-D-Rhamnose and its derivatives (Ac-GDP-D-Rhamnose and rhamnose sodium phosphate) were synthesized to inhibit the enzyme in the GDP-fucose synthesis pathway. Addition of these compounds into cell culture increased antibody afucosylation levels in a dose-dependent manner and had no significant impact on other protein quality attributes. A novel and effective mechanism to generate afucosylated antibody is demonstrated for biologics discovery, analytical method development, process development, and other applications.

Maize bran, an agro-processing waste residue, is a good source of ferulic acid that can be further valorized for vanillin production. However, extraction of ferulic acid from natural sources has been challenging due to low concentrations and intensive extraction procedures. In the present work, ferulic acid streams (purities ranging from 5% to 75%) extracted from maize bran using thermochemical methods were evaluated for biotransformation to vanillin, employing Amycolatopsis sp. as a whole-cell biocatalyst. Initial adaptation studies were critical in improving ferulic acid assimilation and its conversion to vanillin by 65% and 56%, respectively by the fourth adaptation cycle. The effect of cell's physiological states and vanillic acid supplementation on vanillin production was studied using standard ferulic acid as a substrate in an effort to achieve further improvement in vanillin yield. In the presence of vanillic acid, 18 h cultured cells using 2 g/L of standard and isolated ferulic acid produced vanillin concentrations of up to 0.71 and 0.48 g/L, respectively. Furthermore, intermediates involved in the ferulic acid catabolic pathway and their interrelations were studied using GC–MS analysis. Results indicated that two different routes were involved in the catabolism of standard ferulic acid, and similar metabolic routes were observed for an isolated ferulic acid stream. These findings effectively evaluated isolated ferulic acid for sustainable vanillin production while reducing agro-industrial waste pollution.

Cell line development (CLD) plays a crucial role in the manufacturing process development of therapeutic biologics. Most biologics are produced in Chinese hamster ovary (CHO) cell. Because of the nature of random transgene integration in CHO genome and CHO's inherent plasticity, stable CHO transfectants usually have a vast diversity in productivity, growth, and product quality. Thus, we often must resort to screening a large number of cell pools and clones to increase the probability of identifying the ideal production cell line, which is a very laborious and resource-demanding process. Here we have developed a deep-well plate (DWP) enabled high throughput (DEHT) CLD platform using 24-well DWP (24DWP), liquid handler, and other automation components. This platform has capabilities covering the key steps of CLD including cell passaging, clone imaging and expansion, and fed-batch production. We are the first to demonstrate the suitability of 24DWP for CLD by confirming minimal well-to-well and plate-to-plate variability and the absence of well-to-well cross contamination. We also demonstrated that growth, production, and product quality of 24DWP cultures were comparable to those of conventional shake flask cultures. The DEHT platform enables scientists to screen five times more cultures than the conventional CLD platform, thus significantly decreases the resources needed to identify an ideal production cell line for biologics manufacturing.

Programmed cell death-ligand 1 (PDL1) is a transmembrane protein that is characterized as an immune regulatory molecule. We recently developed a recombinant single-chain fragment of variable domain (scFv) against PDL1, which showed high binding efficiency to purified recombinant PDL1 protein. However, at that time, proof-of-concept data for the effect of scFv using PDL1-expressing cells was lacking. In this study, we conducted two kinds of cell-based immunoassays, western blotting and enzyme-linked immunosorbent assay, using anti-PDL1 scFv. The results indicate that scFv can selectively and sensitively detect PDL1 from PDL1 positive human cancer cell lines. Our findings suggest that scFv could be used as a potential PDL1 inhibitor agent and probe for cell-based immunoassays to detect PDL1.

Although the contributions of individual components of cell culture media are largely known, their combinatorial effects are far less understood. Experiments varying one component at a time cannot identify combinatorial effects, and analysis of the large number of experiments required to decipher such effects is challenging. Machine learning algorithms can help in the analysis of such datasets to identify multi-component interactions. Zinc toxicity in vitro is known to change depending on amino acid concentration in the extracellular medium. Multiple amino acids are known to be involved in this protection. Thirty-two amino acid compositions were formulated to evaluate their effect on the growth of CHO cells under high zinc conditions. A sequential machine learning analysis methodology was used, which led to the identification of a set of amino acids (threonine, proline, glutamate, aspartate, asparagine, and tryptophan) contributing to protection from zinc. Our results suggest that a decrease in availability of these set of amino acids due to consumption may affect cell growth in media formulated with high zinc concentrations, and in contrast, normal levels of these amino acids are associated with better tolerance to high zinc concentration. Our sequential analysis method may be similarly employed for high throughput medium design and optimization experiments to identify interactions among a large number of cell culture medium components.

As the need for higher volumetric productivity in biomanufacturing grows, biopharmaceutical companies are increasingly investing in a perfusion cell culture process, most commonly one that uses a hollow fiber filter as the cell retention device. A current challenge with using hollow fiber filters is fouling of the membrane, which reduces product sieving and can increase transmembrane pressure (TMP) past process limitations. In this work, the impact of hollow fiber filter geometries on product sieving and hydraulic membrane resistance profiles is evaluated in a tangential flow filtration (TFF) perfusion system. The hollow fibers tested had lengths ranging from 19.8 to 41.5 cm, inner diameters (IDs) ranging from 1.0 to 2.6 mm, and pore sizes of 0.2 or 0.65 μm. The results showed that the shortest hollow fibers experienced higher product sieving while larger IDs contributed to both higher product sieving and lower hydraulic membrane resistances, illustrating the impact of filter geometry on process performance. The results also showed 0.2 μm pore size filters maintain higher product sieving, but also higher membrane resistances compared to 0.65 μm pore size filters. This study highlights the need for optimized hollow fiber filter geometries to maximize use of the membrane area, which in turn can reduce production costs and increase scalability of the perfusion process.