TY - JOUR
T1 - Application of advanced quantification techniques in nanoparticle-based vaccine development with the Sf9 cell baculovirus expression system
AU - Puente-Massaguer, Eduard
AU - Lecina, Martí
AU - Gòdia, Francesc
N1 - Funding Information:
The authors thank Dr. Nick Berrow (Institute for Research in Biomedicine, Barcelona, Spain) for providing the Sf9 cell line. Marta Martínez-Calle developed the BV-GageGFP. Ángel Calvache (Beckman Coulter) facilitated the access to the CytoFlex LX flow cytometer. The technical support of Mónica Roldán and Martí de Cabo from Servei de Microscòpia of Universitat Autònoma de Barcelona (UAB) with the confocal fluorescence microscope and the cryo-EM, and Paolo Saccardo from Plataforma de Producción de Proteínas, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN) of UAB with baculovirus titration are also appreciated. Eduard Puente-Massaguer is a recipient of an FPU grant from Ministerio de Educación, Cultura y Deporte of Spain (FPU15/03577). The research group is recognized as 2017 SGR 898 by Generalitat de Catalunya. This article does not contain any studies with human participants performed by any of the authors.
Funding Information:
The authors thank Dr. Nick Berrow (Institute for Research in Biomedicine, Barcelona, Spain) for providing the Sf9 cell line. Marta Martínez-Calle developed the BV-GageGFP. Ángel Calvache (Beckman Coulter) facilitated the access to the CytoFlex LX flow cytometer. The technical support of Mónica Roldán and Martí de Cabo from Servei de Microscòpia of Universitat Autònoma de Barcelona (UAB) with the confocal fluorescence microscope and the cryo-EM, and Paolo Saccardo from Plataforma de Producción de Proteínas, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN) of UAB with baculovirus titration are also appreciated. Eduard Puente-Massaguer is a recipient of an FPU grant from Ministerio de Educación, Cultura y Deporte of Spain ( FPU15/03577 ). The research group is recognized as 2017 SGR 898 by Generalitat de Catalunya .
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2/11
Y1 - 2020/2/11
N2 - 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.
AB - 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.
KW - Baculovirus expression vector system
KW - Confocal microscopy
KW - Flow virometry
KW - Nanoparticle tracking analysis
KW - Sf9 cells
KW - Statistical design
KW - Virus-like particle
UR - http://www.scopus.com/inward/record.url?scp=85077373896&partnerID=8YFLogxK
U2 - 10.1016/j.vaccine.2019.11.087
DO - 10.1016/j.vaccine.2019.11.087
M3 - Article
C2 - 31911032
AN - SCOPUS:85077373896
SN - 0264-410X
VL - 38
SP - 1849
EP - 1859
JO - Vaccine
JF - Vaccine
IS - 7
ER -