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Date publication
septembre 2020
Journal
Analytical chemistry
Auteurs
Membres identifiés du Cancéropôle Est :
Dr CIANFERANI Sarah
Tous les auteurs :
Deslignière E, Ehkirch A, Botzanowski T, Beck A, Hernandez-Alba O, Cianférani S
Lien Pubmed
Résumé
Ion mobility-based collision induced unfolding (CIU) has gained increasing attention to probe gas-phase unfolding of proteins and their noncovalent complexes, notably for biotherapeutics. CIU detects subtle conformational changes of proteins and emerges as an attractive alternative to circumvent poor IM resolution. However, CIU still lacks in automation for buffer exchange and data acquisition, precluding its wide adoption. We present here an automated workflow for CIU experiments, from sample preparation to data interpretation using online size exclusion chromatography coupled to native ion mobility mass spectometry (SEC-CIU). Online automated SEC-CIU experiments offer several benefits over nanoESI-CIU, among which i) improved and fast desalting compared to manual buffer exchange used for classical CIU experiments; ii) drastic reduction of the overall data collection time process along with iii) maintaining the number of unfolding transitions. We then evaluate the potential of SEC-CIU to distinguish monoclonal antibodies (mAbs) subclasses, illustrating the efficiency of our method for rapid mAb subclass identification at both intact and middle levels. Finally, we demonstrate that CIU data acquisition time can be further reduced either by setting up a scheduled CIU method relying on diagnostic trap collision voltages or by implementing mAbs-multiplexed SEC-CIU analyses to maximize information content in a single experiment. Altogether, our results confirm the suitability of SEC-CIU to automate CIU experiments, particularly for the fast characterization of next generation mAb-based products.
Référence
Anal. Chem.. 2020 Sep 4;:
