Open Access
Open access
Clinical Proteomics, volume 22, issue 1, publication number 6

Integrated proteomics and N-glycoproteomic characterization of glioblastoma multiform revealed N-glycosylation heterogeneities as well as alterations in sialyation and fucosylation

Mingjun Hu 1, 2
Kaiyue Xu 3
Yang Ge 3
Bo Yan 3
Qianqian Yang 3
Liang Wang 4
Shisheng Sun 3
Huijuan Wang 3
1
 
Faculty of Life Sciences and Medicine, Northwest University Chang An Hospital, Northwest University, Xi’an, China
2
 
Department of Neurosurgery, Chang An District Hospital, Xi’an, China
3
 
National Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi’an, China
Publication typeJournal Article
Publication date2025-02-08
scimago Q1
SJR1.015
CiteScore5.8
Impact factor2.8
ISSN15426416, 15590275
Abstract
Glioblastoma multiforme (GBM) is the most common malignant primary brain tumor. Notwithstanding tremendous efforts having been put in multi-omics research to profile the dysregulated molecular mechanisms and cellular pathways, there is still a lack of understanding about the glycoproteomic of GBM. Glycosylation as one of the most important post-translational modifications is crucial in regulating cell proliferation and relevant oncogenic pathways. In the study, we systematically profiled N-glycoproteomics of para-cancerous and cancerous tissues from GBM patients to reveal the site-specific N-glycosylation pattern defined by intact glycopeptides. We identified and quantified 1863 distinct intact glycopeptides (IGPs) with 161 N-linked glycan compositions and 326 glycosites. There were 396 IGPs from 43 glycoproteins differed between adjacent tissues and GBM. Then, proteomic and glycoproteomic data were combined, and the normalized glycosylation alteration was calculated to determine whether the difference was attributed to the global protein levels or glycosylation. The altered glycosylation triggered by site-specific N-glycans and glycoprotein abundance, as well as glycosite heterogeneity, were demonstrated. Ultimately, an examination of the overall glycosylation levels revealed a positive contribution of sialylated or/and fucosylated glycans. Overall, the dataset highlighted molecular complexity and distinct profiling at translational and post-translational levels, providing valuable information for novel therapeutic approaches and specific detection strategies.
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