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PXD005411

DataSet Summary

  • HostingRepository: PRIDE
  • AnnounceDate: 2017-10-11
  • AnnouncementXML: Submission_2017-10-10_23:55:29.xml
  • DigitalObjectIdentifier:
  • ReviewLevel: Peer-reviewed dataset
  • DatasetOrigin: Original data
  • RepositorySupport: Unsupported dataset by repository
  • PrimarySubmitter: pGlyco pFind
  • Title: Mouse glycoproteome: Brain
  • Description: Precise and large-scale characterization of glycoproteome is critical for understanding the biological functions of glycoproteins. Due to the complexity of glycosylation, the overall throughput, data quality and accessibility of site-specific glycosylation analysis are overwhelmingly lower than those of routine proteomic studies. Here, we introduce a workflow that robustly identifies intact glycopeptides at a proteome scale using stepped-energy mass-spectrometry (MS) and pGlyco 2.0, a dedicated search engine for large-scale glycopeptide analysis with comprehensive quality control (false discovery rate evaluation on the glycan, peptide and glycopeptide matches).
  • SpeciesList: scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
  • ModificationList: No PTMs are included in the dataset
  • Instrument: LTQ Orbitrap

Dataset History

VersionDatetimeStatusChangeLog Entry
02016-11-21 06:32:16ID requested
12017-10-10 23:55:31announced

Publication List

  1. Liu MQ, Zeng WF, Fang P, Cao WQ, Liu C, Yan GQ, Zhang Y, Peng C, Wu JQ, Zhang XJ, Tu HJ, Chi H, Sun RX, Cao Y, Dong MQ, Jiang BY, Huang JM, Shen HL, Wong CCL, He SM, Yang PY, pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification. Nat Commun, 8(1):438(2017) [pubmed]

Keyword List

  1. curator keyword: Biological
  2. submitter keyword: Mouse glycoproteome

Contact List

    Mingqi Liu
    • contact affiliation: Institutes of Biomedical Sciences and department of Chemistry, Fudan University, Shanghai, China
    • contact email: mingqiliu10@icloud.com
    • lab head:
    pGlyco pFind
    • contact affiliation: Institute of Computing Technology, CAS, Beijing, China
    • contact email: pglyco@ict.ac.cn
    • dataset submitter:

Full Dataset Link List

  1. Dataset FTP location
  2. PRIDE project URI
Repository Record List
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