Evaluating Novel Quantification Methods for Infectious Baculoviruses

Viruses. 2023 Apr 19;15(4):998. doi: 10.3390/v15040998.

Abstract

Accurate and rapid quantification of (infectious) virus titers is of paramount importance in the manufacture of viral vectors and vaccines. Reliable quantification data allow efficient process development at a laboratory scale and thorough process monitoring in later production. However, current gold standard applications, such as endpoint dilution assays, are cumbersome and do not provide true process analytical monitoring. Accordingly, flow cytometry and quantitative polymerase chain reaction have attracted increasing interest in recent years, offering various advantages for rapid quantification. Here, we compared different approaches for the assessment of infectious viruses, using a model baculovirus. Firstly, infectivity was estimated by the quantification of viral nucleic acids in infected cells, and secondly, different flow cytometric approaches were investigated regarding analysis times and calibration ranges. The flow cytometry technique included a quantification based on post-infection fluorophore expression and labeling of a viral surface protein using fluorescent antibodies. Additionally, the possibility of viral (m)RNA labeling in infected cells was investigated as a proof of concept. The results confirmed that infectivity assessment based on qPCR is not trivial and requires sophisticated method optimization, whereas staining of viral surface proteins is a fast and feasible approach for enveloped viruses. Finally, labeling of viral (m)RNA in infected cells appears to be a promising opportunity but will require further research.

Keywords: flow cytometry; gp64 protein; infectivity titer; native baculovirus; process monitoring; quantitative polymerase chain reaction; viral RNA; virus quantification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Baculoviridae* / genetics
  • Genetic Vectors*
  • RNA

Substances

  • RNA

Grants and funding

This research and the APC were funded within the framework of the industrial collective research program (IGF/Project no. 21631 BG/FE 2). It was supported by the Federal Ministry for Economic Affairs and Energy (BMWi) through the AiF (German Federation of Industrial Research Associations eV) based on a decision taken by the German Bundestag. Parts of this project were financed by the European Regional Development Fund as part of the of the Union’s response to the COVID-19 pandemic.