Novel LC-MS² Product Dependent Parallel Data Acquisition Function and Data Analysis Workflow for Sequencing and Identification of Intact Glycopeptides

Abstract

Data dependent acquisition (DDA) of higher collision energy dissociation (HCD)-MS² followed by electron transfer dissociation (ETD)-MS² upon detection of glycan-specific oxonium is one of the better approaches in current LC-MS² analysis of intact glycopeptides. Although impressive numbers of glycopeptide identification by a direct database search have been reported, false positives remained high and difficult to determine. Even in cases when the peptide backbones were correctly identified, the exact glycan moieties were often erroneously assigned. Any attempt to fit the best glycosyl composition match by mass only is problematic particularly when the correct monoisotopic precursor cannot be determined unambiguously. Taking advantage of a new trihybrid Orbitrap configuration, we experimented with adding in a parallel ion trap collision induced dissociation (CID)-MS² data acquisition to the original HCD-product dependent (pd)-ETD function. We demonstrated the feasibility and advantage of identifying the peptide core ion directly from edited HCD-MS² data as an easy way to reduce false positives without compromising much sensitivity in intact glycopeptide positive spectrum matches. Importantly, the additional CID-MS² data allows one to validate the glycan assignment and provides insight into possible glycan modifications. Moreover, it is a viable alternative to deduce the glycopeptide backbone particularly in cases when the peptide backbone cannot be identified by ETD/HCD. The novel HCD-pd-CID/ETD workflow combines the best possible decision tree dependent MS² data acquisition modes currently available for glycoproteomics within a rapid Top Speed DDA duty cycle. Additional informatics can conceivably be developed to mine and integrate the rich information contained within for simultaneous N- and O-glycopeptide analysis