| Literature DB >> 33086064 |
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.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