Publication Database

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

Bandzählung: 12

Seiten: 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
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.