Here, we provide the dataset associated with our research article 'label-free quantitative proteomic analysis of harmless and pathogenic strains of infectious microalgae, 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, genotype 1 and two strains associated with severe and mild infections, respectively, genotype 2 and . 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407497PMC
http://dx.doi.org/10.1016/j.dib.2017.04.006DOI Listing

Publication Analysis

Top Keywords

quantitative proteomic
8
proteomic analysis
8
analysis harmless
8
harmless pathogenic
8
pathogenic strains
8
strains infectious
8
infectious microalgae
8
protein identification
8
raw data
8
mass spectrometry
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!