7 research outputs found
Development of a candidate reference material for adventitious virus detection in vaccine and biologicals manufacturing by deep sequencing.
Unbiased deep sequencing offers the potential for improved adventitious virus screening in vaccines and biotherapeutics. Successful implementation of such assays will require appropriate control materials to confirm assay performance and sensitivity.
A common reference material containing 25 target viruses was produced and 16 laboratories were invited to process it using their preferred adventitious virus detection assay.
Fifteen laboratories returned results, obtained using a wide range of wet-lab and informatics methods. Six of 25 target viruses were detected by all laboratories, with the remaining viruses detected by 4-14 laboratories. Six non-target viruses were detected by three or more laboratories.
The study demonstrated that a wide range of methods are currently used for adventitious virus detection screening in biological products by deep sequencing and that they can yield significantly different results. This underscores the need for common reference materials to ensure satisfactory assay performance and enable comparisons between laboratories
New approaches for characterization of the genetic stability of vaccine cell lines
The genetic stability of cell lines is a critical analytical attribute required to demonstrate the quality of cells over time. During cell passage, mutations can arise in the genomic DNA, potentially leading to changes in the final vaccine product. The identity and integrity of master cell banks, extended cell banks, complementing cell lines or recombinant cell lines expressing transgenes has to be tested throughout the production process by the vaccine manufacturer. Over the past few years, the traditional methods for evaluation of genetic stability have been replaced with molecular approaches including quantitative PCR, digital PCR and high throughput sequencing. However, these molecular-based approaches are used in research laboratories and not within a GMP-compliant environment. In this article, we briefly discuss some opportunities and challenges in characterization of the genetic stability of vaccine cell lines with these molecular-based approaches
Evaluation of infectious titer in a candidate HSV type 2 vaccine by a quantitative molecular approach
Application of xCELLigence real-time cell analysis to the microplate assay for pertussis toxin induced clustering in CHO cells.
The microplate assay with Chinese Hamster Ovary (CHO) cells is currently used as a safety test to monitor the residual pertussis toxin (PT) amount in acellular pertussis antigens prior to vaccine formulation. The assay is based on the findings that the exposure of CHO cells to PT results in a concentration-dependent clustering response which can be used to estimate the amount of PT in a sample preparation. A major challenge with the current CHO cell assay methodology is that scoring of PT-induced clustering is dependent on subjective operator visual assessment using light microscopy. In this work, we have explored the feasibility of replacing the microscopy readout for the CHO cell assay with the xCELLigence Real-Time Cell Analysis system (ACEA BioSciences, a part of Agilent). The xCELLigence equipment is designed to monitor cell adhesion and growth. The electrical impedance generated from cell attachment and proliferation is quantified via gold electrodes at the bottom of the cell culture plate wells, which is then translated into a unitless readout called cell index. Results showed significant decrease in the cell index readouts of CHO cells exposed to PT compared to the cell index of unexposed CHO cells. Similar endpoint concentrations were obtained when the PT reference standard was titrated with either xCELLigence or microscopy. Testing genetically detoxified pertussis samples unspiked or spiked with PT further supported the sensitivity and reproducibility of the xCELLigence assay in comparison with the conventional microscopy assay. In conclusion, the xCELLigence RTCA system offers an alternative automated and higher throughput method for evaluating PT-induced clustering in CHO cells