Literature DB >> 31911032

Application of advanced quantification techniques in nanoparticle-based vaccine development with the Sf9 cell baculovirus expression system.

Eduard Puente-Massaguer1, Martí Lecina2, Francesc Gòdia1.   

Abstract

Nanoparticles generated by recombinant technologies are receiving increased interest in several applications, particularly the use of virus like particles (VLPs) for the generation of safer vaccines. The characterization and quantification of these nanoparticles with complex structures is very relevant for a better comprehension of the production systems and should circumvent the limitations of the most conventional quantification techniques often used. Here, we applied confocal microscopy, flow virometry and nanoparticle tracking analysis (NTA) to assess the production process of Gag virus-like particles (VLPs) in the Sf9 cell/baculovirus expression vector system (BEVS). These novel techniques were implemented in an optimization workflow based on Design of Experiments (DoE) and desirability functions to determine the best production conditions. A higher level of sensitivity was observed for NTA and confocal microscopy but flow virometry proved to be more accurate. Interestingly, extracellular vesicles were detected as an important source of contamination of this system. The synergistic interplay of viable cell concentration at infection (CCI), multiplicity of infection (MOI) and time of harvest (TOH) was assessed on five objective responses: VLP assembly, baculovirus infection, VLP production, cell viability and VLP productivity. Two global optimal conditions were defined, one targeting the maximal yield of VLPs and the other providing a balance between production and assembled VLPs. In both cases, a low MOI proved to be the best condition to achieve the highest VLP production and productivity yields. Cryo-EM analysis of nanoparticles produced in these conditions showed the typical size and morphology of HIV-1 VLPs. This study presents an integrative approach based on the combination of DoE and direct nanoparticle quantification techniques to comprehensively optimize the production of VLPs and other viral-based biotherapeutics.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Baculovirus expression vector system; Confocal microscopy; Flow virometry; Nanoparticle tracking analysis; Sf9 cells; Statistical design; Virus-like particle

Mesh:

Substances:

Year:  2020        PMID: 31911032     DOI: 10.1016/j.vaccine.2019.11.087

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  5 in total

Review 1.  Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles.

Authors:  Guillermo Bordanaba-Florit; Félix Royo; Sergei G Kruglik; Juan M Falcón-Pérez
Journal:  Nat Protoc       Date:  2021-06-16       Impact factor: 13.491

2.  Quality Assessment of Virus-Like Particles at Single Particle Level: A Comparative Study.

Authors:  Irene González-Domínguez; Eduard Puente-Massaguer; Laura Cervera; Francesc Gòdia
Journal:  Viruses       Date:  2020-02-17       Impact factor: 5.048

3.  Flow virometry for process monitoring of live virus vaccines-lessons learned from ERVEBO.

Authors:  Geoffri Ricci; Kevin Minsker; Austin Kapish; James Osborn; Sha Ha; Joseph Davide; Joseph P Califano; Darrell Sehlin; Richard R Rustandi; Lawrence W Dick; Josef Vlasak; Timothy D Culp; Andreas Baudy; Edward Bell; Malini Mukherjee
Journal:  Sci Rep       Date:  2021-04-01       Impact factor: 4.379

4.  Integrating nanoparticle quantification and statistical design of experiments for efficient HIV-1 virus-like particle production in High Five cells.

Authors:  Eduard Puente-Massaguer; Martí Lecina; Francesc Gòdia
Journal:  Appl Microbiol Biotechnol       Date:  2020-01-06       Impact factor: 4.813

5.  Transduction of HEK293 Cells with BacMam Baculovirus Is an Efficient System for the Production of HIV-1 Virus-like Particles.

Authors:  Eduard Puente-Massaguer; Byron Cajamarca-Berrezueta; Aleix Volart; Irene González-Domínguez; Francesc Gòdia
Journal:  Viruses       Date:  2022-03-18       Impact factor: 5.048

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.