Quantitatively Differentiating Antibodies Using Charge-State Manipulation, Collisional Activation, and Ion Mobility-Mass Spectrometry.
Theresa A GozzoMatthew F BushPublished in: Analytical chemistry (2023)
Antibody-based therapeutics continue to expand both in the number of products and in their use in patients. These heterogeneous proteins challenge traditional drug characterization strategies, but ion mobility (IM) and mass spectrometry (MS) approaches have eased the challenge of higher-order structural characterization. Energy-dependent IM-MS, e.g., collision-induced unfolding (CIU), has been demonstrated to be sensitive to subtle differences in structure. In this study, we combine a charge-reduction method, cation-to-anion proton-transfer reactions (CAPTR), with energy-dependent IM-MS and varied solution conditions to probe their combined effects on the gas-phase structures of IgG1κ and IgG4κ from human myeloma. CAPTR paired with MS-only analysis improves the confidence of charge-state assignments and the resolution of the interfering protein species. Collision cross-section distributions were determined for each of the charge-reduced products. Similarity scoring was used to quantitatively compare distributions determined from matched experiments analyzing samples of the two antibodies. Relative to workflows using energy-dependent IM-MS without charge-state manipulation, combining CAPTR and energy-dependent IM-MS enhanced the differentiation of these antibodies. Combined, these results indicate that CAPTR can benefit many aspects of antibody characterization and differentiation.
Keyphrases
- mass spectrometry
- liquid chromatography
- multiple sclerosis
- ms ms
- high resolution
- gas chromatography
- capillary electrophoresis
- high performance liquid chromatography
- newly diagnosed
- solar cells
- end stage renal disease
- chronic kidney disease
- emergency department
- magnetic resonance
- peritoneal dialysis
- adverse drug
- diabetic rats
- single molecule
- amino acid
- fluorescent probe
- living cells
- electronic health record