The Equine PeptideAtlas: a resource for developing proteomics-based veterinary research

Louise Bundgaard, Stine Jacobsen, Mette Aamand Sørensen, Zhi Sun, Eric W. Deutsch, Robert L. Moritz, Emøke Bendixen

    14 Citationer (Scopus)

    Abstract

    Progress in MS-based methods for veterinary research and diagnostics is lagging behind compared to the human research, and proteome data of domestic animals is still not well represented in open source data repositories. This is particularly true for the equine species. Here we
    present a first Equine PeptideAtlas encompassing high-resolution tandem MS analyses of 51 samples representing a selection of equine tissues and body fluids from healthy and diseased animals. The raw data were processed through the Trans-Proteomic Pipeline to yield high quality identification of proteins and peptides. The current release comprises 24 131 distinct peptides representing 2636 canonical proteins observed at false discovery rates of 0.2% at the peptide level and 1.4% at the protein level. Data from the Equine PeptideAtlas are available for experimental planning, validation of new datasets, and as a proteomic data mining resource. The advantages of the Equine PeptideAtlas are demonstrated by examples of mining the contents for information on potential and well-known equine acute phase proteins, which have extensive general interest in the veterinary clinic. The extracted information will support further analyses, and emphasizes the value of the Equine PeptideAtlas as a resource for the design of targeted quantitative proteomic studies.
    OriginalsprogEngelsk
    TidsskriftProteomics
    Vol/bind14
    Udgave nummer6
    Sider (fra-til)763-773
    Antal sider11
    ISSN1615-9853
    DOI
    StatusUdgivet - mar. 2014

    Emneord

    • Det Sundhedsvidenskabelige Fakultet
    • Horses
    • Databases, Protein
    • Proteomics
    • Mass Spectrometry
    • Veterinary medicine

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