Literature DB >> 33086064

Integrated Proteomic and Glycoproteomic Characterization of Human High-Grade Serous Ovarian Carcinoma.

Yingwei Hu1, Jianbo Pan1, Punit Shah1, Minghui Ao1, Stefani N Thomas1, Yang Liu1, Lijun Chen1, Michael Schnaubelt1, David J Clark1, Henry Rodriguez2, Emily S Boja2, Tara Hiltke2, Christopher R Kinsinger2, Karin D Rodland3, Qing Kay Li1, Jiang Qian4, Zhen Zhang1, Daniel W Chan5, Hui Zhang6.   

Abstract

Many gene products exhibit great structural heterogeneity because of an array of modifications. These modifications are not directly encoded in the genomic template but often affect the functionality of proteins. Protein glycosylation plays a vital role in proper protein functions. However, the analysis of glycoproteins has been challenging compared with other protein modifications, such as phosphorylation. Here, we perform an integrated proteomic and glycoproteomic analysis of 83 prospectively collected high-grade serous ovarian carcinoma (HGSC) and 23 non-tumor tissues. Integration of the expression data from global proteomics and glycoproteomics reveals tumor-specific glycosylation, uncovers different glycosylation associated with three tumor clusters, and identifies glycosylation enzymes that were correlated with the altered glycosylation. In addition to providing a valuable resource, these results provide insights into the potential roles of glycosylation in the pathogenesis of HGSC, with the possibility of distinguishing pathological outcomes of ovarian tumors from non-tumors, as well as classifying tumor clusters.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CPTAC; HGSC; glycoproteomics; glycosylation; high-grade serous ovarian carcinoma; mass spectrometry; proteomics; tumor clusters

Year:  2020        PMID: 33086064      PMCID: PMC7970828          DOI: 10.1016/j.celrep.2020.108276

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


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