The ability to engineer monoclonal antibodies (mAbs) with high specificity made mAbs the fastest growing segment in the drug market. mAbs represent 8 of the top 20 selling drugs with combined sales of more than 57 billion US$ per year. The ability to purify large numbers of mAbs with sufficient yields for initial screening campaigns has direct impact on the timelines of a project. Automated liquid handling (ALH)-based mAb purification platforms have been used to facilitate the production of large numbers of mAbs. However, the ongoing pressure to de-risk potential lead molecules at an early development stage by including bio-physical characterization of mAbs has further increased the demand to produce sufficient quantities from limited sample volumes. A bottleneck so far has been the limited dynamic binding capacity of these systems, which is partly due to the binding properties of commonly used Protein A affinity matrices. The present publication suggests that by using a Protein A matrix optimized for continuous chromatography applications the yields of ALH-based but also standard lab-scale mAb purifications can be significantly increased without the need to change established protocols.
Keywords: Antibody; Continuous chromatography; High throughput; Liquid handling; Robotics.
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