Lentiviral vectors (LVs) have been increasingly used as a tool for gene and cell therapies since they can stably integrate the genome in dividing and nondividing cells. LV production and purification processes have evolved substantially over the last decades. However, the increasing demands for higher quantities with more restrictive purity requirements are stimulating the development of novel materials and strategies to supply the market with LV in a cost-effective manner. A detailed review of each downstream process unit operation is performed, limitations, strengths, and potential outcomes being covered. Currently, the majority of large-scale LV manufacturing processes are still based on adherent cell culture, although it is known that the industry is migrating fast to suspension cultures. Regarding the purification strategy, it consists of batch chromatography and membrane technology. Nevertheless, new solutions are being created to improve the current production schemes and expand its clinical use.

Currently, marketed influenza vaccines are only efficient against homologous viruses, thus requiring a seasonal update based on circulating subtypes. This constant reformulation adds several challenges to manufacturing, particularly in purification due to the variation of the physicochemical properties of the vaccine product. A universal platform approach capable of handling such variation is therefore of utmost importance. In this work, a filtration‐based approach is explored to purify influenza virus‐like particles. Switching from adsorptive separation to size‐based purification allows overcoming the differences in retention observed for different influenza strains. The proposed process employs a cascade of ultrafiltration and diafiltration steps, followed by a sterile filtration step. Different process parameters are assessed in terms of product recovery and impurities’ removal. Membrane chemistry, pore size, operation modes, critical flux, transmembrane pressure, and permeate control strategies are evaluated. After membrane selection and parameter optimization, concentration factors and diafiltration volumes are also defined. By optimizing the filtration mode of operation, it is possible to achieve product recoveries of approximately 80%. Overall, the process time is decreased by 30%, its scalability is improved, and the costs are reduced due to the removal of chromatography and associated buffer consumptions, cleaning, and its validation steps.

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Mucins are high-molecular weight glycoproteins (0.25–20 MDa) containing one or more domains that are heavily O-glycosylated. Their implications as targets for cancer treatment have increased the interest in these glycoproteins, mainly in the fields of vaccines and antibodies. However, mucins present high heterogeneity, posing challenges that affect purification processes and quality control analysis. In that sense, it is necessary to develop and improve downstream processes and analytical methods to characterize these products.Here a tool based on biolayer interferometry analysis to improve mucin’s detection and quantification in a fast, simple and label free-way is presented. Taking advantage of lectin recognition of mucins’ carbohydrate structures, several lectins were evaluated and immobilized on streptavidin biosensors. Different assay conditions were optimized and the most suitable lectin, Aleuria aurantia lectin (AAL), was selected. Bovine Submaxillary Gland and human MUC5B mucins were used as proof of concept and were successfully detected and quantified at different stages of purification. High sensitivity levels were achieved with LOD and LOQ of 3.8 μg mL-1 and 11.7 μg mL-1 for BSM, and 0.2 μg mL-1 and 0.6 μg mL-1 for MUC5B. AAL binding specificity was also confirmed with fucose competition assays. Our method represents an advance on mucins detection and quantification since the existing methods present several disadvantages for process development. Hereafter, it can be applied to the optimization of new or already established downstream processes for mucins’ purification.