Large-scale transcriptomics analysis reveals a novel stress biomarker in CHO cells producing difficult to express mAbs.
Ontology highlight
ABSTRACT: Monoclonal antibodies (mAbs) are considered one of the most game-changing products of the biopharmaceutical industry. The introduction of several diverse and complex formats consisting of several polypeptide chains and engineered with multiple antigen-binding domains has made the manufacturability process particularly challenging, especially in the context of assessing expression levels and yields of the formats. Here we present the largest and most diversified CHO transcriptomics analysis consisting of data derived from 892 different monoclonal cell lines, producing 11 different mAbs with various non-standard, highly complex formats. We apply three robust feature selection methods, one traditional differential expression analysis and two machine learning approaches to identify genes corre
SUBMITTER: Papadaki S
PROVIDER: S-EPMC11830089 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA