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Fast and automated characterization of monoclonal antibody minor variants from cell cultures by combined Protein-A and multi-dimensional LC/MS methodologies.

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Monitoring of post-translational modifications (PTMs) in therapeutic monoclonal antibodies (mAbs) is essential during their production in both upstream and downstream processes. However, characterization of PTMs using conventional peptide mapping procedure… Click to show full abstract

Monitoring of post-translational modifications (PTMs) in therapeutic monoclonal antibodies (mAbs) is essential during their production in both upstream and downstream processes. However, characterization of PTMs using conventional peptide mapping procedure requires time-consuming and labor-intensive offline sample preparation steps. This work describes for the first time, the implementation of a Protein-A affinity chromatography column as the first dimension (1D) in a multi-dimensional LC (3D and 4D) setup for the automated characterization of mAb variants from harvest cell culture fluid (HCCF) materials at different purification/production steps. A 4D-LC/MS method (Protein-A - Reduction-RPLC - Digestion - RPLC/MS) was developed to determine PTM levels including oxidation, deamidation, and succinimide formation by on-line peptide mapping analysis. To obtain an accurate and comprehensive profiling of mAb glycosylation patterns at the reduced level, a 3D-LC/MS method (Protein-A - Reduction-RPLC - HILIC/MS) was also developed on the same chroma-tographic system. Overall, the full workflow (data acquisition and analysis) for both 3D and 4D-LC/MS setups can be com-pleted within less than 1-2 days, compared to weeks with the conventional manual approach. This proof of concept study demonstrates that mD-LC/MS has the potential to be used as a powerful tool to perform a fast and reliable monitoring of PTMs during the manufacturing process for both bioreactor control or as a monitoring assay.

Keywords: automated characterization; multi dimensional; fast automated; cell; characterization; characterization monoclonal

Journal Title: Analytical chemistry
Year Published: 2020

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