高级检索
当前位置: 首页 > 详情页

Integrated plasma proteomics and N-glycoproteomics reveals alterations in the N-glycosylation in Chinese hepatocellular carcinoma patients

文献详情

资源类型:
Pubmed体系:
机构: [1]Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, China. [2]College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang, China. [3]Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. [4]Department of Nephrology and Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China.
出处:
ISSN:

关键词: biomarkers glycoproteomics hepatocellular carcinoma N-glycosylation proteomics

摘要:
Hepatocellular carcinoma (HCC) is a life-threatening disease that presents diagnostic challenges due to the absence of reliable biomarkers. Recently, plasma proteomics and glycoproteomics have emerged as powerful tools for identifying potential diagnostic biomarkers for various diseases. In this study, we conducted a comprehensive proteomic and glycoproteomic analysis of plasma samples from 11 HCC patients and 11 healthy control (HC) individuals. We identified 20 differentially expressed (DE) proteins and 32 DE intact glycosylated peptides (IGPs) that can effectively differentiate between HCC patients and HC samples. Our findings demonstrate that IGP profiles had better predictive power than protein profiles for screening HCC. Pathways associated with DE proteins and IGPs were identified. It was reported that the protein expression level of galectin 3 binding protein (LGALS3BP) and its N-linked glycosylation at the N398 and N551 sites might serve as valuable candidates for HCC diagnosis. These results highlight the importance of N-glycoproteomics in advancing our understanding of HCC and suggest possible candidates for the future diagnosis of this disease.© 2024 Wiley-VCH GmbH.

基金:
语种:
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类 | 4 区 生物学
小类 | 4 区 生化研究方法
最新[2023]版:
大类 | 4 区 生物学
小类 | 4 区 生化研究方法
第一作者:
第一作者机构: [1]Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, China. [2]College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang, China.
共同第一作者:
通讯作者:
通讯机构: [1]Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, China. [2]College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang, China. [4]Department of Nephrology and Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China. [*1]Department of Nephrology and Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China. [*2]Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:43370 今日访问量:0 总访问量:3120 更新日期:2024-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 四川省肿瘤医院 技术支持:重庆聚合科技有限公司 地址:成都市人民南路四段55号