PXD054874 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Improving quantitative glycoproteomics by systematic evaluation of different glycopeptide enrichment, quantification, and mass spectrometry strategies |
Description | In this study, we conducted a systematic investigation into a glycoproteomic workflow. Firstly, Label-free and TMT labeling strategies were utilized for intact N-glycopeptide quantification. A total of 2,924 unique intact N-glycopeptides can be quantified after being labeled using TMT approach. Compared to label-free method, TMT labeling for its high precision with the CV averaging 8% and multiplex analysis capabilities. Subsequently, we compared the capacity of ZIC-HILIC and MAX enrichment methods, revealing that the ZIC- HILIC method demonstrated superior performance in enriching intact N-glycopeptides, which can identify 3,004 GPSMs from a single injection of patient-derived xenograft (PDX) sample. Furthermore, we systematically evaluated different higher-energy collisional dissociation (HCD) collision energies, determining that the stepped collision energy HCD (sceHCD) settings of 25, 35, and 45 was the optimal for both the identification and quantification of intact N-glycopeptides. |
HostingRepository | PRIDE |
AnnounceDate | 2025-05-07 |
AnnouncementXML | Submission_2025-05-07_00:27:24.160.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Zhenyu Sun |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | complex glycosylation |
Instrument | Orbitrap Exploris 480; Orbitrap Ascend |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-08-14 02:50:38 | ID requested | |
⏵ 1 | 2025-05-07 00:27:24 | announced | |
Publication List
10.1021/acs.analchem.4c04466; |
Sun Z, Lih TM, Woo J, Jiao L, Hu Y, Wang Y, Liu H, Zhang H, Improving Glycoproteomic Analysis Workflow by Systematic Evaluation of Glycopeptide Enrichment, Quantification, Mass Spectrometry Approach, and Data Analysis Strategies. Anal Chem, 96(52):20481-20490(2024) [pubmed] |
Keyword List
submitter keyword: glycoproteomics, intact glycopeptide, identification, quantification |
Contact List
Hui Zhang |
contact affiliation | Johns Hopkins School of Medicine |
contact email | huizhang@jhu.edu |
lab head | |
Zhenyu Sun |
contact affiliation | Johns Hopkins University School of Medicine |
contact email | zsun51@jh.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD054874
- Label: PRIDE project
- Name: Improving quantitative glycoproteomics by systematic evaluation of different glycopeptide enrichment, quantification, and mass spectrometry strategies