Fachbereich Veterinärmedizin


Service-Navigation

    Publikationsdatenbank

    Mass spectrometry data from label-free quantitative proteomic analysis of harmless and pathogenic strains of infectious microalgae, Prototheca spp (2017)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Murugaiyan, Jayaseelan (WE 10)
    Eravci, Murat (WE 3)
    Weise, Christoph (WE 3)
    Roesler, Uwe (WE 10)
    Quelle
    Data in Brief; 12 — S. 320–326
    ISSN: 2352-3409
    Sprache
    Englisch
    Verweise
    DOI: 10.1016/j.dib.2017.04.006
    Pubmed: 28480323
    Kontakt
    Institut für Tier- und Umwelthygiene

    Robert-von-Ostertag-Str. 7-13
    Gebäude 35
    14169 Berlin
    +49 30 838 51845
    tierhygiene@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Here, we provide the dataset associated with our research article 'label-free quantitative proteomic analysis of harmless and pathogenic strains of infectious microalgae, Prototheca spp.' (Murugaiyan et al., 2017) [1]. This dataset describes liquid chromatography-mass spectrometry (LC-MS)-based protein identification and quantification of a non-infectious strain, Prototheca zopfii genotype 1 and two strains associated with severe and mild infections, respectively, P. zopfii genotype 2 and Prototheca blaschkeae. Protein identification and label-free quantification was carried out by analysing MS raw data using the MaxQuant-Andromeda software suit. The expressional level differences of the identified proteins among the strains were computed using Perseus software and the results were presented in [1]. This DiB provides the MaxQuant output file and raw data deposited in the PRIDE repository with the dataset identifier PXD005305.