Title Systems analysis of singly and multiply O-glycosylated peptides in the human serum glycoproteome via EThcD and HCD mass spectrometry
Authors Zhang, Yong
Xie, Xinfang
Zhao, Xinyuan
Tian, Fang
Lv, Jicheng
Ying, Wantao
Qian, Xiaohong
Affiliation Beijing Inst Radiat Med, Beijing Proteome Res Ctr, Natl Ctr Prot Sci Beijing, State Key Lab Prote, Beijing 102206, Peoples R China.
Peking Univ, Renal Div, Hosp 1, Inst Nephrol,Key Lab Renal Dis,Minist Hlth China, Beijing, Peoples R China.
Peking Univ, Minist Educ, Key Lab Chron Kidney Dis Prevent & Treatment, Beijing, Peoples R China.
Beijing Inst Radiat Med, Beijing 100850, Peoples R China.
Keywords Human serum
O-Glycoproteome
Site-specific O-glycosylation
EThcD
COLLISION DISSOCIATION ETHCD
CRESCENTIC IGA NEPHROPATHY
HUMAN CEREBROSPINAL-FLUID
SOLID-PHASE EXTRACTION
PROTEIN GLYCOSYLATION
ELECTRON-TRANSFER
GLYCOPEPTIDE-ENRICHMENT
PLASMA PROTEINS
INHIBITOR
DISEASE
Issue Date 2018
Publisher JOURNAL OF PROTEOMICS
Citation JOURNAL OF PROTEOMICS. 2018, 170, 14-27.
Abstract Human serum has been intensively studied to identify biomarkers via global proteomic analysis. The altered O-glycoproteome is associated with human pathological state including cancer, inflammatory and degenerative diseases and is an attractive source of disease biomarkers. Because of the microheterogeneity and macro heterogeneity of O-glycosylation, site-specific O-glycosylation analysis in human serum is still challenging. Here, we developed a systematic strategy that combined multiple enzyme digestion, multidimensional separation for sample preparation and high-resolution tandem MS with Byonic software for intact O-glycopeptide characterization. We demonstrated that multiple enzyme digestion or multidimensional separation can make sample preparation more efficient and that EThcD is not only suitable for the identification of singly O-glycosylated peptides (50.3%) but also doubly (21.2%) and triply (28.5%) 0-glycosylated peptides. Totally, with the strict scoring criteria, 499 non-redundant intact O-glycopeptides, 173 O-glycosylation sites and 6 types of O-glycans originating from 49 O-glycoprotein groups were identified in human serum, including 121 novel O-glycosylation sites. Currently, this is the largest data set of site-specific native O-glycoproteome from human serum samples. We expect that the strategies developed by this study will facilitate in-depth analyses of native O-glycoproteomes in human serum and provide opportunities to understand the functional roles of protein O-glycosylation in human health and diseases. Biological significance: The altered O-glycoproteome is associated with human pathological state and is an attractive source of disease biomarkers. However, site-specific O-glycosylation analysis is challenging because of the microheterogeneity (different glycoforms attached to one glycosylation site) and macroheterogeneity (site occupancy) of O-glycosylation. In this work, we developed a systematic strategy for intact O-glycopeptide characterization. This study took advantage of the inherent properties of the new fragmentation method called EThcD, which provides more complete fragmentation information about O-glycosylated peptides and a more confident site localization of O-glycans than collision-induced dissociation (HCD). We demonstrated that multiple enzyme digestion or multidimensional separation can make sample preparation more efficient and that EThcD was not only suitable for the identification of singly O-glycosylated peptides (50.3%) but also doubly (21.2%) and triply (28.5%) O-glycosylated peptides. Finally, we got a largest data set of site-specific native O-glycoproteome from human serum samples. Furthermore, quantitative analysis of intact O-glycopeptides from the serum samples of IgA nephropathy (IgAN) patients and healthy donors was performed, and the results showed the potential of the strategy to discover O-glycosylation biomarkers. We expect that the strategies developed by this study will facilitate in-depth analyses of native O-glycoproteomes in human serum and lead to exciting opportunities to understand the functional roles of protein O-glycosylation in human health and diseases.
URI http://hdl.handle.net/20.500.11897/500031
ISSN 1874-3919
DOI 10.1016/j.jprot.2017.09.014
Indexed SCI(E)
PubMed
Appears in Collections: 第一医院

Files in This Work
There are no files associated with this item.

Web of Science®


0

Checked on Last Week

Scopus®



Checked on Current Time

百度学术™


0

Checked on Current Time

Google Scholar™





License: See PKU IR operational policies.