Multiangle Light Scattering as a Lentivirus Purification Process Analytical Technology.

The limited biomolecular and functional stability of lentiviral vectors (LVVs) for cell therapy poses the need for analytical tools that can monitor their titers and activity throughout the various steps of expression and purification. In this study, we describe a rapid (25 min) and reproducible (coefficient of variance ∼0.5-2%) method that leverages size exclusion chromatography coupled with multiangle light scattering detection (SEC-MALS) to determine size, purity, and particle count of LVVs purified from bioreactor harvests. The SEC-MALS data were corroborated by orthogonal methods, namely, dynamic light scattering (DLS) and transmission electron microscopy. The method was also evaluated for robustness in the range of 2.78 × 105-2.67 × 107 particles per sample. Notably, MALS-based particle counts correlated with the titer of infectious LVVs measured via transduction assays (R2 = 0.77). Using a combination of SEC-MALS and DLS, we discerned the effects of purification parameters on LVV quality, such as the separation between heterogeneous LV, which can facilitate critical decision-making in the biomanufacturing of gene and cell therapies.

Peptide ligands targeting the vesicular stomatitis virus G (VSV-G) protein for the affinity purification of lentivirus particles.

The recent uptick in the approval of ex vivo cell therapies highlights the relevance of lentivirus (LV) as an enabling viral vector of modern medicine. As labile biologics, however, LVs pose critical challenges to industrial biomanufacturing. In particular, LV purification-currently reliant on filtration and anion-exchange or size-exclusion chromatography-suffers from long process times and low yield of transducing particles, which translate into high waiting time and cost to patients. Seeking to improve LV downstream processing, this study introduces peptides targeting the enveloped protein Vesicular stomatitis virus G (VSV-G) to serve as affinity ligands for the chromatographic purification of LV particles. An ensemble of candidate ligands was initially discovered by implementing a dual-fluorescence screening technology and a targeted in silico approach designed to identify sequences with high selectivity and tunable affinity. The selected peptides were conjugated on Poros resin and their LV binding-and-release performance was optimized by adjusting the flow rate, composition, and pH of the chromatographic buffers. Ligands GKEAAFAA and SRAFVGDADRD were selected for their high product yield (50%-60% of viral genomes; 40%-50% of HT1080 cell-transducing particles) upon elution in PIPES buffer with 0.65 M NaCl at pH 7.4. The peptide-based adsorbents also presented remarkable values of binding capacity (up to 3·109 TU per mL of resin, or 5·1011 vp per mL of resin, at the residence time of 1 min) and clearance of host cell proteins (up to a 220-fold reduction of HEK293 HCPs). Additionally, GKEAAFAA demonstrated high resistance to caustic cleaning-in-place (0.5 M NaOH, 30 min) with no observable loss in product yield and quality.

Particle packed columns and monolithic columns in high-performance liquid chromatography-comparison and critical appraisal.

The review highlights the fundamentals and the most prominent achievements in the field of high-performance liquid chromatography (HPLC) column development over a period of nearly 50 years. After a short introduction on the structure and function of HPLC columns, the first part treats the major steps and processes in the manufacture of a particle packed column: synthesis and control of particle morphology, sizing and size analysis, packing procedures and performance characterization. The next section is devoted to three subjects, which reflect the recent development and the main future directions of packed columns: minimum particle size of packing, totally porous vs. core/shell particles and column miniaturization. In the last section an analysis is given on an alternative to packed columns-monolithic columns, which have gained considerable attraction. The challenges are: improved packing design based on modeling and simulation for targeted applications, and enhanced robustness and reproducibility of monolithic columns. In the field of miniaturization, particularly in chip-based nano-LC systems, monoliths offer a great potential for the separation of complex mixtures e.g. in life science.