Preview |
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB |
Other (Supplemental Information)
49MB |
Item Type: | Article |
---|---|
Title: | Integrated proteomic and glycoproteomic characterization of human high-grade serous ovarian carcinoma |
Creators Name: | Hu, Y., Pan, J., Shah, P., Ao, M., Thomas, S.N., Liu, Y., Chen, L., Schnaubelt, M., Clark, D.J., Rodriguez, H., Boja, E.S., Hiltke, T., Kinsinger, C.R., Rodland, K.D., Li, Q.K., Qian, J., Zhang, Z., Chan, D.W. and Zhang, H. |
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. |
Keywords: | CPTAC, Glycosylation, Mass Spectrometry, Glycoproteomics, Tumor Clusters, High-Grade Serous Ovarian Carcinoma, HGSC, Proteomics |
Source: | Cell Reports |
ISSN: | 2211-1247 |
Publisher: | Cell Press / Elsevier |
Volume: | 33 |
Number: | 3 |
Page Range: | 108276 |
Date: | 20 October 2020 |
Additional Information: | Philipp Mertins is a member of the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium. |
Official Publication: | https://doi.org/10.1016/j.celrep.2020.108276 |
PubMed: | View item in PubMed |
Repository Staff Only: item control page