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PXD006832

DataSet Summary

  • HostingRepository: PRIDE
  • AnnounceDate: 2017-09-07
  • AnnouncementXML: Submission_2017-09-07_08:08:43.xml
  • DigitalObjectIdentifier:
  • ReviewLevel: Peer-reviewed dataset
  • DatasetOrigin: Original data
  • RepositorySupport: Unsupported dataset by repository
  • PrimarySubmitter: Daniel Zolg
  • Title: PROST: A set of 40 peptide standards for retention time indexing, column performance monitoring and collision energy calibration
  • Description: We describe PROST (ProteomeTools Standard), a set of 40 synthetic peptides that span the entire hydrophobicity range of tryptic digests, enabling not only accurate determination of retention time indices but also monitoring of chromatographic separation performance over time. The fragmentation characteristics of the peptides can also be used to calibrate and compare collision energies between mass spectrometers. The sequences of all selected peptides do not occur in any natural protein, thus eliminating the need for stable isotope labeling and allowing straightforward integration into standard peptide identification strategies employing database searching or spectral library matching.
  • SpeciesList: scientific name: artificial sequences; NCBI TaxID: 81077;
  • ModificationList: No PTMs are included in the dataset
  • Instrument: Orbitrap Fusion Lumos

Dataset History

VersionDatetimeStatusChangeLog Entry
02017-06-29 07:40:12ID requested
12017-09-07 08:08:44announced

Publication List

  1. Zolg DP, Wilhelm M, Yu P, Knaute T, Zerweck J, Wenschuh H, Reimer U, Schnatbaum K, Kuster B, PROCAL: A set of 40 peptide standards for retention time indexing, column performance monitoring and collision energy calibration. Proteomics, ():(2017) [pubmed]

Keyword List

  1. curator keyword: Technical
  2. submitter keyword: synthetic peptide, retention time calibration, ProteomeTools, retention time kit, peptide standard

Contact List

    Bernhard Kuster
    • contact affiliation: Chair of Proteomics and Bioanalytics, Technical University of Munich
    • contact email: kuster@tum.de
    • lab head:
    Daniel Zolg
    • contact affiliation: Technical University of Munich
    • contact email: daniel.zolg@tum.de
    • dataset submitter:

Full Dataset Link List

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