Cell-free protein synthesis: advances on production process for biopharmaceuticals and immunobiological products.

Biopharmaceutical products are of great importance in the treatment or prevention of many diseases and represent a growing share of the global pharmaceutical market. The usual technology for protein synthesis (cell-based expression) faces certain obstacles, especially with 'difficult-to-express' proteins. Cell-free protein synthesis (CFPS) can overcome the main bottlenecks of cell-based expression. This review aims to present recent advances in the production process of biologic products by CFPS. First, key aspects of CFPS systems are summarized. A description of several biologic products that have been successfully produced using the CFPS system is provided. Finally, the CFPS system's ability to scale up and scale down, its main limitations and its application for biologics production are discussed.

Loss of HER2 and disease prognosis after neoadjuvant treatment of HER2+ breast cancer.

INTRODUCTION: HER2 overexpression/amplification occurs in 15-20% breast cancers (BC) and is associated with worse prognosis. The addition of anti-HER2 treatment to neoadjuvant chemotherapy significantly improves the pathological complete response (pCR) rate. Changes in HER2 status after neoadjuvant treatment (NAT) have been reported and may affect prognosis. The aim of this study was to assess the efficacy of NAT in patients with HER2+ BC and its influence on HER2 status and associated prognostic impact. METHODS: Retrospective chart review and pathologic evaluation of all consecutive patients with HER2+ BC (defined as IHC 3+ or IHC 2+ confirmed by SISH) submitted to NAT between 2010-2015 in three Portuguese Hospitals. RESULTS: One hundred eight female patients were included; 40 with stage II, 68 with stage III. Hormone receptors were positive in 70. pCR (ypT0/isN0) was achieved in 48 patients (44%). With a median follow-up of 52 months, there were 5 disease free survival (DFS) events among pCR patients and 19 among non-pCR (P = 0.02). Of the 60 patients with residual disease at surgery, 52 remained HER2+ and 8 (13%) lost HER2 overexpression/amplification. 5y-DFS and 5y-OS was 70% and 84%, respectively, for patients whose residual tumors remained HER2+, and 21% and 50% for patients whose residual tumors became HER2 negative (P = 0.02 and < 0.001). DISCUSSION: We confirmed the negative prognostic impact of NAT-induced HER2 loss on residual tumor leading to worse DFS and OS. Despite the retrospective design and small sample size, these results suggest that it is important to retest HER2 after NAT, to better refine patient outcome.

Immunoglobulin G elution in protein A chromatography employing the method of chromatofocusing for reducing the co-elution of impurities.

Purification processes for monoclonal Immunoglobulin G (IgG) typically employ protein A chromatography as a capture step to remove most of the impurities. One major concern of the post-protein A chromatography processes is the co-elution of some of the host cell proteins (HCPs) with IgG in the capture step. In this work, a novel method for IgG elution in protein A chromatography that reduces the co-elution of HCPs is presented where a two-step pH gradient is self-formed inside a protein A chromatography column. The complexities involved in using an internally produced pH gradient in a protein A chromatography column employing adsorbed buffering species are discussed though equation-based modeling. Under the conditions employed, ELISA assays show a 60% reduction in the HCPs co-eluting with the IgG fraction when using the method as compared to conventional protein A elution without affecting the IgG yield. Evidence is also obtained which indicates that the amount of leached protein A present in free solution in the purified product is reduced by the new method. Biotechnol. Bioeng. 2017;114: 154-162. © 2016 Wiley Periodicals, Inc.

Bioreactor environment-sensitive sentinel genes as novel metrics for cell culture scale-down comparability.

Scale-down of bioreactors is currently done based on matching one or more measurable parameters such as k(L) a and P/V, which could result in insufficient process comparability. Currently, there is a lack of genomic translational studies in cell culture scale-down, which could help delineate measurable cellular attributes for improved scale-down. In this study, we scaled-down from a typical bench-scale 5-L bioreactor to a novel high-throughput 35-mL minibioreactor based on matching oxygen transfer rate, which resulted in cell growth and product-related discrepancies using Sp2/0 cells. Performing DNA microarrays on time-course samples from both systems, we identified ∼200 differentially expressed transcripts, presumably because of bioreactor aeration and mixing differences with scale-down. Evaluating these transcripts for bioreactor-relevant cellular functions such as oxidative stress response and DNA damage response, we chose 18 sentinel genes based on their degree of difference and functionality, which we further verified by quantitative real-time polymerase chain reaction (qRT-PCR). Tracking the differential expression of Sod1, Apex1, and Odc1 genes, we were able to correlate sparging-related damage and poor mixing, as possible causes for physiological changes such as prolonged culture in minibioreactors. Additionally, to verify our sentinel gene findings, we performed follow-up improved scale-down studies based on gene analysis and measured transcriptomic changes. As a result, qRT-PCR-based genomic profiles and cell growth profiles showed better convergence between the improved minibioreactor conditions and the model 5-L bioreactor. Our results broadly show that based on the knowledge from transcriptomic changes of sentinel gene profiles, it is possible to improve bioreactor scale-down for more comparable processes.

Genomic analysis of a hybridoma batch cell culture metabolic status in a standard laboratory 5 L bioreactor.

Currently, there is a gap in the knowledge of the culture responses to controlled bioreactor environment during the course of batch cell culture from early exponential phase to stationary-phase. If available, such information could be used to designate gene transcripts for predicting cell status and as a quality predictor for a controlled bioreactor. In this study, we used oligonucleotide microarrays to obtain baseline gene expression profiles during the time-course of a hybridoma batch cell culture in a 5 L bench-scale bioreactor. Gene expression changes that were up or down modulated from early-to-late in batch culture, as well as invariant gene profiles with significant expression were identified using microarray. Typical cellular functions that seemed to be correlated with transcriptomics were oxidative stress response, DNA damage response, apoptosis, and cellular metabolism. As confirmatory evidence, microarray findings were verified with a more rigorous semiquantitative gene-specific Reverse transcriptase-polymerase chain reaction (RT-PCR). The results of this study suggest that under predefined bioreactor culture conditions, significant gene changes from lag to log to stationary phase could be identified, which could then be used to track the culture state.

A case study in converting disposable process scouting devices into disposable bioreactors as a future bioprocessing tool.

In this study, we perform mass transfer characterization (k(L) a) on a novel mechanically driven/stirred Process Scouting Device, PSD, (SuperSpinner D 1000®, SSD) and demonstrate that this novel device can be viewed as disposable bioreactor. Using patch-based optical sensors, we were able to monitor critical cell culture environmental conditions such as dissolved oxygen (DO) and pH in SSD for comparison to a 1 L standard spinner (SS) flask. We also coupled these mass transfer studies with mixing time studies where we observed relative high mixing times (5.2 min) that are typically observed in production scale bioreactors. Decreasing the mixing time 3.5-fold resulted in 30% increase in k(L) a (from 2.3 to 3.0 h(-1) ) and minimum DO level increased from 0% to 20% for our model hybridoma cell line. Finally, maximum viable cell density and protein titer stayed within ±20% of historical data, from our standard 5 L stirred bioreactor (Biostat®) operated under active DO control.

Optical sensor enabled rocking T-flasks as novel upstream bioprocessing tools.

During the past decade, novel disposable cell culture vessels (generally referred to as Process Scouting Devices or PSDs) have become increasingly popular for laboratory scale studies and seed culture generation. However, the lack of engineering characterization and online monitoring tools for PSDs makes it difficult to elucidate their oxygen transfer capabilities. In this study, a mass transfer characterization (k(L)a) of sensor enabled static and rocking T-flasks is presented and compared with other non-instrumented PSDs such as CultiFlask 50®, spinner flasks, and SuperSpinner D 1000®. We have also developed a mass transfer empirical correlation that accounts for the contribution of convection and diffusion to the volumetric mass transfer coefficient (k(L)a) in rocking T-flasks. We also carried out a scale-down study at matched k(L) a between a rocking T75-flask and a 10 L (2 L filling volume) wave bioreactor (Cultibag®) and we observed similar DO and pH profiles as well as maximum cell density and protein titer. However, in this scale-down study, we also observed a negative correlation between cell growth and protein productivity between the rocking T-flask and the wave bioreactor. We hypothesize that this negative correlation can be due to hydrodynamic stress difference between the rocking T-flask and the Cultibag. As both cell culture devices share key similarities such as type of agitation (i.e., rocking), oxygen transfer capabilities (i.e., k(L)a) and disposability, we argue that rocking T-flasks can be readily integrated with wave bioreactors, making the transition from research-scale to manufacturing-scale a seamless process.

Integrating a 250 mL-spinner flask with other stirred bench-scale cell culture devices: a mass transfer perspective.

The bioprocess development cycle is a complex task that requires a complete understanding of the engineering of the process (e.g., mass transfer, mixing, CO(2) removal, process monitoring, and control) and its affect on cell biology and product quality. Despite their widespread use in bioprocess development, spinner flasks generally lack engineering characterization of critical physical parameters such as k(L)a, P/V, or mixing time. In this study, mass transfer characterization of a 250-mL spinner flask using optical patch-based sensors is presented. The results quantitatively show the effect of the impeller type, liquid filling volume, and agitation speed on the volumetric mass transfer coefficient (k(L)a) in a 250-mL spinner flask, and how they can be manipulated to match mass transfer capability at large culture devices. Thus, process understanding in spinner flasks can be improved, and these devices can be seamlessly integrated in a rational scale-up strategy from cell thawing to bench-scale bioreactors (and beyond) in biomanufacturing.

Advances in clone selection using high-throughput bioreactors.

Effective clone selection is a crucial step toward developing a robust mammalian cell culture production platform. Currently, clone selection is done by culturing cells in well plates and picking the highest producers. Ideally, clone selection should be done in a stirred tank bioreactor as this would best replicate the eventual production environment. The actual number of clones selected for future evaluation in bioreactors at bench-scale is limited by the scale-up and operational costs involved. This study describes the application of miniaturized stirred high-throughput bioreactors (35 mL working volume; HTBRs) with noninvasive optical sensors for clone screening and selection. We investigated a method for testing several subclones simultaneously in a stirred environment using our high throughput bioreactors (up to 12 clones per HTBR run) and compared it with a traditional well plate selection approach. Importantly, it was found that selecting clones solely based on results from stationary well plate cultures could result in the chance of missing higher producing clones. Our approach suggests that choosing a clone after analyzing its performance in a stirred bioreactor environment is an improved method for clone selection.

Dissolved oxygen and pH profile evolution after cryovial thaw and repeated cell passaging in a T-75 flask.

Routine cell culture is done in small-scale disposable vessels (typically 0.1-100 mL volumes) in academia and industry. Despite their wide use in bioprocess development (i.e., process optimization and process validation), miniature process scouting devices (PSDs) are considered "black boxes" because they are generally not equipped with sensors. In this study, we show that on-line monitoring of dissolved oxygen (DO) and pH in a T-75 flask-based PSD can be achieved during cell passaging and that this information can be linked to different cellular metabolic states. In this case, on-line monitoring of DO and pH show three distinctive metabolic regions in passages 1-18, 19-28, 29-54 and in particular, the shift in the pH curve, the specific oxygen uptake rate (q(O2)), and the lactate production rate to the oxygen consumption rate yield (Y(Lac/ox)) confirm the existence of these distinctive metabolic regions. These findings are particularly useful because they show that sensor equipped PSDs can help to monitor cell culture behavior after thaw, in pre- and seed culture prior to scale-up and in development/optimization studies. Such routine monitoring will help to develop more consistent cell culture techniques.

Comparisons of optically monitored small-scale stirred tank vessels to optically controlled disposable bag bioreactors.

BACKGROUND: Upstream bioprocesses are extremely complex since living organisms are used to generate active pharmaceutical ingredients (APIs). Cells in culture behave uniquely in response to their environment, thus culture conditions must be precisely defined and controlled in order for productivity and product quality to be reproducible. Thus, development culturing platforms are needed where many experiments can be carried out at once and pertinent scale-up information can be obtained. RESULTS: Here we have tested a High Throughput Bioreactor (HTBR) as a scale-down model for a lab-scale wave-type bioreactor (CultiBag). Mass transfer was characterized in both systems and scaling based on volumetric oxygen mass transfer coefficient (kLa) was sufficient to give similar DO trends. HTBR and CultiBag cell growth and mAb production were highly comparable in the first experiment where DO and pH were allowed to vary freely. In the second experiment, growth and mAb production rates were lower in the HTBR as compared to the CultiBag, where pH was controlled. The differences in magnitude were not considered significant for biological systems. CONCLUSION: Similar oxygen delivery rates were achieved in both systems, leading to comparable culture performance (growth and mAb production) across scales and mode of mixing. HTBR model was most fitting when neither system was pH-controlled, providing an information-rich alternative to typically non-monitored mL-scale platforms.

Comparisons of optical pH and dissolved oxygen sensors with traditional electrochemical probes during mammalian cell culture.

Small-scale upstream bioprocess development often occurs in flasks and multi-well plates. These culturing platforms are often not equipped to accurately monitor and control critical process parameters; thus they may not yield conditions representative of manufacturing. In response, we and others have developed optical sensors that enable small-scale process monitoring. Here we have compared two parameters critical to control in industrial cell culture, pH and dissolved oxygen (DO), measured with our optical sensors versus industrially accepted electrochemical probes. For both optical sensors, agreement with the corresponding electrochemical probe was excellent. The Pearson Correlations between the optical sensors and electrochemical probes were 98.7% and 99.7%, for DO and pH, respectively. Also, we have compared optical pH sensor performance in regular (320 mOsm/kg) and high-osmolality (450 mOsm/kg) cell culture media to simulate the increase in osmolality in pH-controlled cultures. Over a pH range of 6.38-7.98 the average difference in pH readings in the two media was 0.04 pH units. In summary, we have demonstrated that these optical sensors agree well with standard electrochemical probes. The accuracy of the optical probes demonstrates their ability to detect potential parameter drift that could have significant impact on growth, production kinetics, and protein product quality. We have also shown that an increase in osmolality that could result from controlling pH or operating the reactor in fed-batch mode has an insignificant impact on the functionality of the pH patches.

Validation of an optical sensor-based high-throughput bioreactor system for mammalian cell culture.

Cell culture optimization is a labor-intensive process requiring a large number of experiments to be conducted under varying conditions. Here we describe a high-throughput bioreactor system that allows 12 mini stirred-tank bioreactors to be operated simultaneously. All bioreactors are monitored by low-cost minimally invasive optical sensors for pH and dissolved oxygen. The sensors consist of single-use patches affixed inside the bioreactors and monitored optically from the outside. Experimental results show that different sensing patches with the same composition respond consistently. The discrepancy between different pH sensors is less than 0.1 pH units over most of their responsive range. The discrepancy between different dissolved oxygen sensors is less than 10% over the whole range from 0% to 100% dissolved oxygen. The consistency of the sensing system ensures that only an initial one-time calibration is required for the sensing patches. After that, a calibration code is generated and sensing patches of the same composition can be used directly. This greatly reduces the time and cost required for monitored multi-bioreactor operations. We used SP2/0 myeloma/mouse hybridoma cell cultures to demonstrate reactor performance consistency. Transcriptional profiling, HPLC analysis, viable cell count, and viability inspection show that the presence of sensing patches and the use of optical monitoring have no apparent effect on the metabolism of the cells.

Utilization of enzymes for environmental applications.

Enzymes are powerful tools that help sustain a clean environment in several ways. They are utilized for environmental purposes in a number of industries including agro-food, oil, animal feed, detergent, pulp and paper, textile, leather, petroleum, and specialty chemical and biochemical industry. Enzymes also help to maintain an unpolluted environment through their use in waste management. Recombinant DNA technology, protein engineering, and rational enzyme design are the emerging areas of research pertaining to environmental applications of enzymes. The future will also see the employment of various technologies including gene shuffling, high throughput screening, and nanotechnology. This article presents an overview of the enzymatic applications in pollution control and the promising research avenues in this area.