October 23, 2019  |  

Accurate identification and quantification of DNA species by next-generation sequencing in adeno-associated viral vectors produced in insect cells.

Authors: Penaud-Budloo, Magalie and Lecomte, Emilie and Guy-Duché, Aurélien and Saleun, Sylvie and Roulet, Alain and Lopez-Roques, Céline and Tournaire, Benoît and Cogné, Benjamin and Léger, Adrien and Blouin, Véronique and Lindenbaum, Pierre and Moullier, Philippe and Ayuso, Eduard

Recombinant adeno-associated viral (rAAV) vectors have proven excellent tools for the treatment of many genetic diseases and other complex diseases. However, the illegitimate encapsidation of DNA contaminants within viral particles constitutes a major safety concern for rAAV-based therapies. Moreover, the development of rAAV vectors for early-phase clinical trials has revealed the limited accuracy of the analytical tools used to characterize these new and complex drugs. Although most published data concerning residual DNA in rAAV preparations have been generated by quantitative PCR, we have developed a novel single-strand virus sequencing (SSV-Seq) method for quantification of DNA contaminants in AAV vectors produced in mammalian cells by next-generation sequencing (NGS). Here, we describe the adaptation of SSV-Seq for the accurate identification and quantification of DNA species in rAAV stocks produced in insect cells. We found that baculoviral DNA was the most abundant contaminant, representing less than 2.1% of NGS reads regardless of serotype (2, 8, or rh10). Sf9 producer cell DNA was detected at low frequency (=0.03%) in rAAV lots. Advanced computational analyses revealed that (1) baculoviral sequences close to the inverted terminal repeats preferentially underwent illegitimate encapsidation, and (2) single-nucleotide variants were absent from the rAAV genome. The high-throughput sequencing protocol described here enables effective DNA quality control of rAAV vectors produced in insect cells, and is adapted to conform with regulatory agency safety requirements.

Journal: Human gene therapy methods
DOI: 10.1089/hgtb.2016.185
Year: 2017

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