Predicting the HILIC Retention Behavior of the N-Linked Glycopeptides Produced by Trypsin Digestion of Immunoglobulin Gs (IgGs).

Abstract

The prediction of the retention behavior/time would facilitate the identification and characterization of glycoproteins, particularly the analytical challenges, such as the characterization of low-abundance glycoforms. This task is essential in the biotherapeutics industry, where the type and amount of glycosylation on recombinant IgG alter the efficacy, function, and immunogenicity. Models exist for the prediction of the hydrophilic interaction liquid chromatography retention of peptides and glycans. Here, we have devised a unified model to predict the retention behavior of glycopeptides from human IgGs and applied this to the analysis of glycopeptides from rabbit IgGs. The combined model is capable of accurately predicting the retention of native IgG glycopeptides on 2 completely different liquid chromatography-mass spectrometry systems.