BACKGROUND: High-capacity adenoviruses (HC-Ad) hold great promise for the treatment of many diseases. The major drawbacks for the clinical application of this vector concern difficulties with respect to large-scale production, and the absence of standardized methods for production and titration. In the present study, we compare the different methods found in the literature for characterizing HC-Ad production. METHODS: Two productions of the HC-Ad carrying murine IL-12 gene were obtained. The viral titer and adenovirus-helper contamination as well as viral particle concentration of both productions were determined using different methods: (i) quantification of total viral particles by spectrophotometry and plaque assay to estimate first-generation (FG)-helper-Ad contamination; (ii) quantification of HC-Ad and FG-helper-Ad genomes by the quantitative polymerase chain reaction (qPCR) directly from viral stock; (iii) quantification of viral genomes after cell infection by the slot-blot hybridization assay and (iv) qPCR. RESULTS: Dramatic differences with respect to viral titer were found depending on the method used. The first method overestimates HC-Ad titer and underestimates FG-helper-Ad contamination and no information on the infectivity of the HC-Ad is obtained. qPCR analysis of viral stock is more sensitive and accurate, but information about infectivity remains unknown and FG-helper-Ad contamination is overestimated. Quantification of HC-Ad and FG-helper-Ad infectious units by-slot blot DNA hybridization and qPCR assay are found to be equally sensitive and accurate. CONCLUSIONS: The results of the present study demonstrate that a standardized method should be developed for HC-Ad characterization for future clinical applications of this vector. Quantification of HC-Ad production by qPCR is a fast, safe and reliable method for determining HC-Ad and FG-helper-Ad particles and infectious units. Copyright (c) 2008 John Wiley & Sons, Ltd.
BACKGROUND: High-capacity adenoviruses (HC-Ad) hold great promise for the treatment of many diseases. The major drawbacks for the clinical application of this vector concern difficulties with respect to large-scale production, and the absence of standardized methods for production and titration. In the present study, we compare the different methods found in the literature for characterizing HC-Ad production. METHODS: Two productions of the HC-Ad carrying murine IL-12 gene were obtained. The viral titer and adenovirus-helper contamination as well as viral particle concentration of both productions were determined using different methods: (i) quantification of total viral particles by spectrophotometry and plaque assay to estimate first-generation (FG)-helper-Ad contamination; (ii) quantification of HC-Ad and FG-helper-Ad genomes by the quantitative polymerase chain reaction (qPCR) directly from viral stock; (iii) quantification of viral genomes after cell infection by the slot-blot hybridization assay and (iv) qPCR. RESULTS: Dramatic differences with respect to viral titer were found depending on the method used. The first method overestimates HC-Ad titer and underestimates FG-helper-Ad contamination and no information on the infectivity of the HC-Ad is obtained. qPCR analysis of viral stock is more sensitive and accurate, but information about infectivity remains unknown and FG-helper-Ad contamination is overestimated. Quantification of HC-Ad and FG-helper-Ad infectious units by-slot blot DNA hybridization and qPCR assay are found to be equally sensitive and accurate. CONCLUSIONS: The results of the present study demonstrate that a standardized method should be developed for HC-Ad characterization for future clinical applications of this vector. Quantification of HC-Ad production by qPCR is a fast, safe and reliable method for determining HC-Ad and FG-helper-Ad particles and infectious units. Copyright (c) 2008 John Wiley & Sons, Ltd.
Authors: Carmen Unzu; Ignacio Melero; Aizea Morales-Kastresana; Ana Sampedro; Irantzu Serrano-Mendioroz; Arantza Azpilikueta; María Carmen Ochoa; Juan Dubrot; Eduardo Martínez-Ansó; Antonio Fontanellas Journal: PLoS One Date: 2014-01-21 Impact factor: 3.240