Abstract
Post-translational modifications (PTMs) not only substantially increase structural heterogeneity of proteins but can also alter the conformation or even biological functions. Monitoring of these PTMs is particularly important for therapeutic products, including monoclonal antibodies (mAbs), since their efficacy and safety may depend on the PTM profile. Innovative analytical strategies should be developed to map these PTMs as well as explore possible induced conformational changes. Cation-exchange chromatography (CEX) coupled with native mass spectrometry has already emerged as a valuable asset for the characterization of mAb charge variants. Nevertheless, questions regarding protein conformation cannot be explored using this approach. Thus, we have combined CEX separation with collision-induced unfolding (CIU) experiments to monitor the unfolding pattern of separated mAbs and thereby pick up subtle conformational differences without impairing the CEX resolution. Using this novel strategy, only four CEX–CIU runs had to be recorded for a complete CIU fingerprint either at the intact mAb level or after enzymatic digestion at the mAb subunit level. As a proof of concept, CEX–CIU was first used for an isobaric mAb mixture to highlight the possibility to acquire individual CIU fingerprints of CEX-separated species without compromising CEX separation performances. CEX–CIU was next successfully applied to conformational characterization of mAb glyco-variants, in order to derive glycoform-specific information on the gas-phase unfolding, and CIU patterns of Fc fragments, revealing increased resistance of sialylated glycoforms against gas-phase unfolding. Altogether, we demonstrated the possibilities and benefits of combining CEX with CIU for in-depth characterization of mAb glycoforms, paving the way for linking conformational changes and resistance to gas-phase unfolding charge variants.
| Original language | English |
|---|---|
| Pages (from-to) | 3932-3939 |
| Number of pages | 8 |
| Journal | Analytical chemistry |
| Volume | 95 |
| Issue number | 8 |
| Early online date | 15 Feb 2023 |
| DOIs | |
| Publication status | Published - 28 Feb 2023 |
| Externally published | Yes |
Funding
This work was supported by the Netherlands Organization for Scientific Research (NWO) (SATIN project, Grant No. 731.017.202), the CNRS, the University of Strasbourg, the “Agence Nationale de la Recherche” (ConformAbs project, Grant No. ANR-21-CE29-0009-01), and the French Proteomic Infrastructure (ProFI; Grant No. ANR-10-INBS-08-03). The authors would like to thank GIS IBiSA and Région Grand Est for financial support in purchasing a Synapt G2 HDMS instrument. J.C. acknowledges ANRT and NovaliX for funding his Ph.D.
| Funders | Funder number |
|---|---|
| French Proteomic Infrastructure | ANR-10-INBS-08-03 |
| Agence Nationale de la Recherche | ANR-21-CE29-0009-01 |
| Association Nationale de la Recherche et de la Technologie | |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | 731.017.202 |
| Université de Strasbourg | |
| Centre National de la Recherche Scientifique |