ABSTRACT
Recombinant monoclonal antibodies (mAbs) manufactured from immortalized mammalian cell lines are becoming increasingly important as therapies. Ensuring the quality of expressed proteins is critical when developing manufacturing processes. Protein sequence variants (PSVs) are a type of product-related variant in which errors in the protein sequence are present. Detecting PSVs and determining their origins, either by DNA mutation or mRNA mistranslation, is critical. Mutations cannot be remediated without developing new clones, which can be costly and time-consuming. In contrast, mistranslation can usually be mitigated by optimizing cell culture conditions. In this work, we first developed a new method to detect low-abundance PSVs with improved sensitivity. Then, a statistical metric was proposed to determine whether the observed PSVs originate from mutation or mistranslation by characterizing the distribution of PSVs. This method was applied to the evaluation of 50 clones from five mAbs programs, allowing for identification of five mutation and 139 mistranslation PSVs. The presence of even a few mutations demonstrates the necessity of clone screening during process development.
