RESUMEN
The generation of clinical good manufacturing practices (GMP)-grade adeno-associated virus (AAV) vectors requires purification strategies that support the generation of vectors of high purity, and that exhibit a good safety and efficacy profile. To date, most reported purification schemas are serotype dependent, requiring method development for each AAV gene therapy product. Here, we describe a platform purification process that is compatible with the purification of multiple AAV serotypes. The method generates vector preparations of high purity that are enriched for capsids with full vector genomes, and that minimizes the fractional content of empty capsids. The two-column purification method, a combination of affinity and ion exchange chromatographies, is compatible with a range of AAV serotypes generated by either the transient triple transfection method or the more scalable producer cell line platform. In summary, the adaptable purification method described can be used for the production of a variety of high-quality AAV vectors suitable for preclinical testing in animal models of diseases.
RESUMEN
Recombinant adeno-associated viral (rAAV) vectors represent a novel class of biopharmaceutical drugs. The production of clinical-grade rAAV vectors for gene therapy would benefit from analytical methods that are able to monitor drug product quality with regard to homogeneity, purity, and manufacturing consistency. Here, we demonstrate the novel application of analytical ultracentrifugation (AUC) to characterize the homogeneity of preparations of rAAV vectors. We show that a single sedimentation velocity run of rAAV vectors detected and quantified a number of different viral species, such as vectors harboring an intact genome, lacking a vector genome (empty particles), and containing fragmented or incomplete vector genomes. This information is obtained by direct boundary modeling of the AUC data generated from refractometric or UV detection systems using the computer program SEDFIT. Using AUC, we show that multiple parameters contributed to vector quality, including the AAV genome form (i.e., self-complementary vs. single-stranded), vector genome size, and the production and purification methods. Hence, AUC is a critical tool for identifying optimal production and purification processes and for monitoring the physical attributes of rAAV vectors to ensure their quality.