Application of Ambr15 system for simulation of entire SARS-CoV-2 vaccine production process involving macrocarriers.

The Ambr15 system is an automated, high-throughput bioreactor platform which comprises 24 individually controlled, single-use stirred-tank reactors. This system plays a critical role in process development by reducing reagent requirements and facilitating high-throughput screening of process parameters. However, until now, the system was used to simulate processes involving cells in suspension or growing on microcarriers and has never been tested for simulating cells growing on macrocarriers. Moreover, to our knowledge, a complete production process including cell growth and virus production has never been simulated. Here, we demonstrate, for the first time, the amenability of the automated Ambr15 cell culture reactor system to simulate the entire SARS-CoV-2 vaccine production process using macrocarriers. To simulate the production process, accessories were first developed to enable insertion of tens of Fibra-Cel macrocarries into the reactors. Vero cell adsorption to Fibra-Cels was then monitored and its adsorption curve was studied. After incorporating of all optimized factors, Vero cells were adsorbed to and grown on Fibra-Cels for several days. During the process, culture medium was exchanged, and the quantity and viability of the cells were followed, resulting in a typical growth curve. After successfully growing cells for 6 days, they were infected with the rVSV-ΔG-Spike vaccine virus. The present results indicate that the Ambr15 system is not only suitable for simulating a process using macrocarriers, but also to simulate an entire vaccine production process, from cell adsorption, cell growth, infection and vaccine virus production.

Optimization of VSV-ΔG-spike production process with the Ambr15 system for a SARS-COV-2 vaccine.

To face the coronavirus disease 2019 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, our institute has developed the rVSV-ΔG-spike vaccine, in which the glycoprotein of vesicular stomatitis virus (VSV) was replaced by the spike protein of SARS-CoV-2. Many process parameters can influence production yield. To maximize virus vaccine yield, each parameter should be tested independently and in combination with others. Here, we report the optimization of the production of the VSV-ΔG-spike vaccine in Vero cells using the Ambr15 system. This system facilitates high-throughput screening of process parameters, as it contains 24 individually controlled, single-use stirred-tank minireactors. During optimization, critical parameters were tested. Those parameters included: cell densities; the multiplicity of infection; virus production temperature; medium addition and medium exchange; and supplementation of glucose in the virus production step. Virus production temperature, medium addition, and medium exchange were all found to significantly influence the yield. The optimized parameters were tested in the BioBLU 5p bioreactors production process and those that were found to contribute to the vaccine yield were integrated into the final process. The findings of this study demonstrate that an Ambr15 system is an effective tool for bioprocess optimization of vaccine production using macrocarriers and that the combination of production temperature, rate of medium addition, and medium exchange significantly improved virus yield.

SARS-CoV-2 spike antigen quantification by targeted mass spectrometry of a virus-based vaccine.

The spike glycoprotein mediates virus binding to the host cells and is a key target for vaccines development. One SARS-CoV-2 vaccine is based on vesicular stomatitis virus (VSV), in which the native surface glycoprotein has been replaced by the SARS-CoV-2 spike protein (VSV-ΔG-spike). The titer of the virus is quantified by the plaque forming unit (PFU) assay, but there is no method for spike protein quantitation as an antigen in a VSV-based vaccine. Here, we describe a mass spectrometric (MS) spike protein quantification method, applied to VSV-ΔG-spike based vaccine. Proof of concept of this method, combining two different sample preparations, is shown for complex matrix samples, produced during the vaccine manufacturing processes. Total spike levels were correlated with results from activity assays, and ranged between 0.3-0.5 µg of spike protein per 107 PFU virus-based vaccine. This method is simple, linear over a wide range, allows quantification of antigen within a sample and can be easily implemented for any vaccine or therapeutic sample.

In-Line Monitoring of Downstream Purification Processes for VSV Based SARS-CoV-2 Vaccine Using a Novel Technique.

The COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) increases the need for a rapid development of efficient vaccines. Among other vaccines in clinical trials, a recombinant VSV-∆G-spike vaccine was developed by the Israel Institute for Biological Research (IIBR) and is being evaluated. The development of an efficient downstream purification process (DSP) enables the vaccine to be advanced to clinical trials. The DSP must eliminate impurities, either process- or product-related, to yield a sufficient product with high purity, potency and quality. To acquire critical information on process restrictions and qualities, the application of in-line monitoring is vital and should significantly impact the process yield, product quality and economy of the entire process. Here, we describe an in-line monitoring technique that was applied in the DSP of the VSV-∆G-spike vaccine. The technique is based on determining the concentrations of metabolites, nutrients and a host cell protein using the automatic chemistry analyzer, Cobas Integra 400 Plus. The analysis revealed critical information on process parameters and significantly impacted purification processes. The technique is rapid, easy and efficient. Adopting this technique during the purification process improves the process yield and the product quality and enhances the economy of the entire downstream process for biotechnology and bio pharmaceutical products.

Novel method for quantifying cells on carriers and its demonstration during SARS-2 vaccine development.

The most effective way to prevent and control infectious disease outbreak is through vaccines. The increasing use of vaccines has elevated the need to establish new manufacturing strategies. One of the major approaches is cell-based production, which creates a need for high cell density to enable higher cell production levels. This has led to development of the technology of cell carriers, including micro and macro cell carriers. To follow the production process, quantifying the number of cells on these carriers is required, as well as the tracking of their viability and proliferation. However, owing to various carriers' unique structures, tracking the cell's is challenging using current traditional assays that were originally developed for monolayers of adherent cells. The current "gold standard" method is counting cell nuclei, separating cells from the carrier, staining with crystal violet, and visually counting under a microscope. This method is tedious and counts both live and dead cells. A few other techniques were developed but were specific to the carrier type and involved specialized equipment. In this study, we describe a broadly ranging method for counting cells on carriers that was developed and employed as part of the development of severe acute respiratory syndrome coronavirus 2 vaccine. The method is based on the Alamar blue dye, a well-known, common marker for cell activity, and was found to be successful in tracking cell adsorption, cell growth, and viability on carriers. No separation of the cells from the carriers is needed, nor is any specialized equipment; the method is simple and rapid and provides comprehensive details necessary for process control of viral vaccine production in cells. This method can be easily implemented in any of a number of cell-based processes and other unique platforms for measuring the growth of encapsulated cells.