Project description:PFAPA, the syndrome of periodic fever associated with aphthous stomatitis, pharyngitis and/or cervical adenitis, is the most common periodic fever disease in children. Cases are mostly sporadic; the etiopathogenesis is unknown. In order to shed more insights into pathogenesis, we performed microarray expression analysis on samples from patients with PFAPA during and between flares, healthy controls and patients with hereditary autoinflammatory diseases during flares. RNA was extracted from whole peripheral blood from six patients with PFAPA syndrome during flares and asymptomatic intervals, six healthy controls and six patients with hereditary autoinflammatory diseases (2 familial Mediterranean fever (FMF), 1 TNF-receptor-asociated periodic fever syndrome (TRAPS) and 3 cryopyrin-associated periodic syndromes (CAPS)).
Project description:This project contains raw data, intermediate files and results is a re-analysis of the publicly available dataset from the PRIDE dataset PXD005780. The RAW files were processed using ThermoRawFileParser, SearchGUI and PeptideShaker through standard settings (see ‘Data Processing Protocol’). This reanalysis work is part of the MetaPUF (MetaProteomics with Unknown Function) project, which is a collaboration between EMBL-EBI and the University of Luxembourg. The dataset was selected with the following conditions: 1. It has been made publicly available in PRIDE and focuses on metaproteomics of the human gut; 2. The corresponding metagenomics assemblies were also available from ENA (European Nucleotide Archive) or MGnify. The processed peptide reports for each sample are available to view at the contig level on the MGnify website. In total, the reanalysis identified 15,417 unique proteins from 15 samples.