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PXD055935-1

PXD055935 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleN-Glycoproteomic analysis reveals novel mechanism and clinical relevance in Colorectal Cancer
DescriptionGlycosylation is largely involved in development and progression of cancer and provides multiple novel targets for diagnostic application and therapeutic strategies. Recent advances in methods for enrichment and mass spectrometric interpreting of intact N-glycoprotein contribute to large-scale clinical glycoproteomics datasets generation, whereas systematic interpretation of these data remains challenging due to the complexity and unstable nature of N-glycosylation modifications. In this study, we mapped the glycoproteome of 45 untreated, resectable colorectal cancer (CRC) tumors, together with their normal adjacent tissues, quantifying over 7,000 N-linked glycoproteins by employing advanced mass spectrometry and high-throughput data analysis. Protein N-sialylation and N-high-mannosylation were revealed to be the most commonly altered modifications in our qualitative and quantitative analysis. Furthermore, we constructed a dynamic N-glycan-site-protein-signaling pathway network based on the N-glycan profiles, highlighting the crucial roles of glycosylated proteins in immune response and various cellular processes. For a comprehensive study on N-glycan functions in CRC, we established a robust scoring system for the combined glycoform profiles, which could potentially be used for biomarker and drug target discovery. In addition, our study revealed FUCA1 and ERO1A as significant dysregulated glycosyltransferases closely related to CRC development and identified APMAP-N196 glycosylation, a potential biomarker for CRC prediction and therapy response monitoring. Overall, the findings underscore the importance of glycosylation dynamics in CRC progression and pave the way for early diagnosis and personalized therapies.
HostingRepositoryPRIDE
AnnounceDate2025-06-16
AnnouncementXMLSubmission_2025-06-15_16:20:30.684.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterHe Huang
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-09-17 06:01:31ID requested
12025-06-15 16:20:31announced
Publication List
Liu G, Chen L, Zhao J, Jiang Y, Guo Y, Mao X, Ren X, Liu K, Mei Q, Li Q, Huang H, Deciphering the Metabolic Impact and Clinical Relevance of N-Glycosylation in Colorectal Cancer through Comprehensive Glycoproteomic Profiling. Adv Sci (Weinh), 12(21):e2415645(2025) [pubmed]
10.1002/advs.202415645;
Keyword List
submitter keyword: Cancer therapies, Colorectal Cancer,N-Glycoproteomic, Mechanism
Contact List
He Huang
contact affiliationChinese Academy of Sciences Shanghai Institute of Materia Medica
contact emailhhuang@simm.ac.cn
lab head
He Huang
contact affiliationShanghai Institute of Materia Medica
contact emailhhuang.nu@gmail.com
dataset submitter
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Dataset FTP location
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