⮝ Full datasets listing
PXD081302-1
PXD081302 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | High-Accuracy De Novo Prediction for N- and O-linked Glycopeptides Across Multiple Fragmentation Techniques |
| Description | We collected approximately 600,000 glycopeptide spectrum matches of EThcD N- and O-glycopeptide data from multiple species and organ tissues. This comprehensive dataset provides a foundational resource for future deep-learning-driven research in this field. |
| HostingRepository | MassIVE |
| AnnounceDate | 2026-07-19 |
| AnnouncementXML | Submission_2026-07-19_09:12:40.387.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Qianqiu Zhang |
| SpeciesList | scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090; scientific name: Rattus norvegicus; common name: Norway rat; NCBI TaxID: 10116; scientific name: Oryctolagus cuniculus; common name: rabbit; NCBI TaxID: 9986; |
| ModificationList | Oxidation; Acetyl |
| Instrument | Orbitrap Ascend |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2026-07-19 09:02:44 | ID requested | |
| ⏵ 1 | 2026-07-19 09:12:40 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: Glycoproteomics, DatasetType:Proteomics |
Contact List
| Ming Li | |
|---|---|
| contact affiliation | University of Waterloo |
| contact email | mli@uwaterloo.ca |
| lab head | |
| Haiteng Deng | |
| contact affiliation | School of Life Sciences, Tsinghua University, China |
| contact email | dht@mail.tsinghua.edu.cn |
| lab head | |
| Qianqiu Zhang | |
| contact affiliation | University of Waterloo |
| contact email | qianqiu.zhang@uwaterloo.ca |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive-ftp.ucsd.edu/v06/MSV000096767/ |
