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Updated: Jul 26, 2025

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
Published on: November 2, 2021
O-Search-Pattern: A Searching Tool Utilizing the Y-Ion Pattern to Enhance O-Glycopeptide Identification for the
He Zhu1,2, Luyao Liu1,2, Zheng Fang1,2
1CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.
Abstract:
Different from N-linked glycosylation, the core structures of mucin type O-glycans are much more diverse, and the sensitive interpretation of O-glycopeptide spectra remains a challenge. The Y-ion pattern, a series of Y-ions with known mass gaps derived from the penta-saccharide core structure of N-linked glycosylation, is exploited to facilitate N-glycopeptide identification from their spectra. However, the pattern of Y ions in O-glycopeptides has not been well studied. In this study, we found that the Y-ion patterns were also frequently observed in the spectra of O-glycopeptides, and a special search approach is presented to identify O-glycopeptides by utilizing the Y-ion patterns. In this strategy, theoretical O-glycan Y-ion patterns are constructed to match the experimental Y-ions in O-glycopeptide spectra, which enables the determination of the mass of some glycans and results in the reduction of searching space. In addition, a Y-ion pattern-based deisotope process is also developed to correct the precursor m/z. The new search strategy was applied to search a human serum data set, and 15.4%-199.0% more O-glycopeptide-spectrum matches (OGPSMs) and 19.6%-107.1% more glycopeptide sequence identifications than other state-of-the-art software tools were observed. This search mode, the O-Search-Pattern, has been implemented into our database search software, MS-Decipher, and is recommended for searching the O-glycopeptide spectra acquired by sceHCD (stepped collision energy higher-energy collisional dissociation).
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