中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantitative Characterization of Protein N-Linked Core-Fucosylation by an Efficient Glycan Truncation Strategy

文献类型:期刊论文

作者Guo, Xin4,5; Liu, Xiaoyan4; Zhao, Changrui5; Fang, Zheng3,4; Sun, Deguang2; Tang, Feng1; Ma, Taiheng2; Liu, Lei3,4; Zhu, He3,4; Wang, Yan4
刊名ANALYTICAL CHEMISTRY
出版日期2024-06-14
卷号96期号:26页码:10506-10514
ISSN号0003-2700
DOI10.1021/acs.analchem.4c00330
通讯作者Dong, Mingming(dongmm@dlut.edu.cn) ; Ye, Mingliang(mingliang@dicp.ac.cn) ; Jia, Lingyun(lyj81@dlut.edu.cn)
英文摘要Dysregulation of protein core-fucosylation plays a pivotal role in the onset, progression, and immunosuppression of cancer. However, analyzing core-fucosylation, especially the accurate determination of the core-fucosylation (CF) site occupancy ratio, remains challenging. To address these problems, we developed a truncation strategy that efficiently converts intact glycopeptides with hundreds of different glycans into two truncated forms, i.e., a monosaccharide HexNAc and a disaccharide HexNAc+core-fucose. Further combination with data-independent analysis to form an integrated platform allowed the measurement of site-specific core-fucosylation abundances and the determination of the CF occupancy ratio with high reproducibility. Notably, three times CF sites were identified using this strategy compared to conventional methods based on intact glycopeptides. Application of this platform to characterize protein core-fucosylation in two breast cancer cell lines, i.e., MDA-MB-231 and MCF7, yields a total of 1615 unique glycosites and about 900 CF sites from one single LC-MS/MS analysis. Differential analysis unraveled the distinct glycosylation pattern for over 201 cell surface drug targets between breast cancer subtypes and provides insights into developing new therapeutic strategies to aid precision medicine. Given the robust performance of this platform, it would have broad application in discovering novel biomarkers based on the CF glycosylation pattern, investigating cancer mechanisms, as well as detecting new intervention targets.
WOS关键词HIGH-MANNOSE ; IDENTIFICATION ; NOTCH ; GLYCOSYLATION ; EXPRESSION ; ENRICHMENT ; DIAGNOSIS ; FUT8
资助项目National Natural Science Foundation of China[2022YFC3400801] ; National Key Research and Development Program of China[22034007] ; National Key Research and Development Program of China[22274014] ; National Key Research and Development Program of China[92253301] ; National Natural Science Foundation of China ; United Foundation for Dalian Institute of Chemical Physics Chinese Academy of Sciences[DICP UN202308] ; Second Hospital of Dalian Medical University
WOS研究方向Chemistry
语种英语
WOS记录号WOS:001248681400001
出版者AMER CHEMICAL SOC
源URL[http://119.78.100.183/handle/2S10ELR8/311899]  
专题中国科学院上海药物研究所
通讯作者Dong, Mingming; Ye, Mingliang; Jia, Lingyun
作者单位1.Chinese Acad Sci, Shanghai Inst Mat Med, CAS Ctr Excellence Mol Cell Sci, Ctr Biotherapeut Discovery Res,CAS Key Lab Recepto, Shanghai 201203, Peoples R China
2.Dalian Med Univ, Affiliated Hosp 2, Dept Hepatopancreatobiliary Surg, Dalian 116027, Liaoning, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Dalian Inst Chem Phys, Natl Chromatog R&A Ctr, State Key Lab Med Prote,CAS Key Lab Separat Sci An, Dalian 116023, Peoples R China
5.Dalian Univ Technol, Sch Bioengn, MOE Key Lab Biointelligent Mfg, Dalian 116000, Liaoning, Peoples R China
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GB/T 7714
Guo, Xin,Liu, Xiaoyan,Zhao, Changrui,et al. Quantitative Characterization of Protein N-Linked Core-Fucosylation by an Efficient Glycan Truncation Strategy[J]. ANALYTICAL CHEMISTRY,2024,96(26):10506-10514.
APA Guo, Xin.,Liu, Xiaoyan.,Zhao, Changrui.,Fang, Zheng.,Sun, Deguang.,...&Jia, Lingyun.(2024).Quantitative Characterization of Protein N-Linked Core-Fucosylation by an Efficient Glycan Truncation Strategy.ANALYTICAL CHEMISTRY,96(26),10506-10514.
MLA Guo, Xin,et al."Quantitative Characterization of Protein N-Linked Core-Fucosylation by an Efficient Glycan Truncation Strategy".ANALYTICAL CHEMISTRY 96.26(2024):10506-10514.

入库方式: OAI收割

来源:上海药物研究所

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