DICP OpenIR
Proteomics analysis of site-specific glycoforms by a virtual multistage mass spectrometry method
Qin, Hongqiang1; Chen, Yao1,2; Mao, Jiawei1,2; Cheng, Kai1; Sun, Deguang3; Dong, Mingming1; Wang, Lu1; Wang, Liming3; Ye, Mingliang1
Corresponding AuthorYe, Mingliang(mingliang@dicp.ac.cn)
KeywordGlycoproteomics Site-specific glycoforms Glycosites Mass spectrometry Micro-heterogeneity of glycosylation
Source PublicationANALYTICA CHIMICA ACTA
2019-09-06
ISSN0003-2670
DOI10.1016/j.aca.2019.04.025
Volume1070Pages:60-68
Funding ProjectChina State Key Basic Research Program Grants[2018YFC0910302] ; China State Key Basic Research Program Grants[2016YFA0501402] ; National Natural Science Foundation of China[21405516] ; National Natural Science Foundation of China[21775146] ; National Natural Science Foundation of China[81600046] ; National Natural Science Foundation of China[81430072] ; innovation program of science and research from the DICP, CAS[DICP TMSR201601] ; National Science Fund of China for Distinguished Young Scholars[21525524]
Funding OrganizationChina State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars ; China State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars ; China State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars ; China State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars
WOS SubjectChemistry, Analytical
WOS Research AreaChemistry
WOS KeywordSOLID-PHASE EXTRACTION ; INTACT N-GLYCOPEPTIDES ; TARGETED GLYCOPROTEOMICS ; MATCHING ALGORITHM ; GLYCAN STRUCTURE ; GLYCOSYLATION ; CANCER ; IDENTIFICATION ; PLATFORM ; ANTIGEN
AbstractDetermination of site-specific glycoforms is the key to reveal the micro-heterogeneity of protein glycosylation at proteome level. Herein, we presented an integrated virtual multistage MS strategy to identify intact glycopeptides, which allowed the determination of site-specific glycoforms. In this strategy, the enzymatically de-glycosylated peptides and intact glycopeptides were mixed and analyzed in the same LC-MS/MS run. The acquired MS2 spectra of intact glycopeptides allowed determination of the glycans, and the MS2 spectra of the de-glycosylated peptides enabled the identification of peptide backbone sequences. Compared with the conventional multistage strategy, the peptide backbones could be directly identified by the MS2 of the de-glycopeptides with higher sensitivity. This strategy was first validated by analyzing the glycosites and site-specific glycoforms of mouse liver tissues. Then, it was applied to differential analysis of the glycoproteomes of hepatocellular carcinoma (HCC) and adjacent liver tissues. Compared with the identification scheme using only MS2 spectra of intact glycopeptides or glycosites, this approach enabled quantitative analysis on two levels, i.e. glycosites and site-specific glycoforms, simultaneously. Thus, it could be a powerful tool to characterize the subtle differences in the macro- and micro-heterogeneity of protein glycosylation for different samples. (C) 2019 Elsevier B.V. All rights reserved.
Language英语
Funding OrganizationChina State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars ; China State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars ; China State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars ; China State Key Basic Research Program Grants ; China State Key Basic Research Program Grants ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; innovation program of science and research from the DICP, CAS ; innovation program of science and research from the DICP, CAS ; National Science Fund of China for Distinguished Young Scholars ; National Science Fund of China for Distinguished Young Scholars
WOS IDWOS:000467910000005
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/171876
Collection中国科学院大连化学物理研究所
Corresponding AuthorYe, Mingliang
Affiliation1.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Dalian Med Univ, Affiliated Hosp 2, Dalian 116027, Peoples R China
Recommended Citation
GB/T 7714
Qin, Hongqiang,Chen, Yao,Mao, Jiawei,et al. Proteomics analysis of site-specific glycoforms by a virtual multistage mass spectrometry method[J]. ANALYTICA CHIMICA ACTA,2019,1070:60-68.
APA Qin, Hongqiang.,Chen, Yao.,Mao, Jiawei.,Cheng, Kai.,Sun, Deguang.,...&Ye, Mingliang.(2019).Proteomics analysis of site-specific glycoforms by a virtual multistage mass spectrometry method.ANALYTICA CHIMICA ACTA,1070,60-68.
MLA Qin, Hongqiang,et al."Proteomics analysis of site-specific glycoforms by a virtual multistage mass spectrometry method".ANALYTICA CHIMICA ACTA 1070(2019):60-68.
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