Project description:Porcine reproductive and respiratory syndrome virus (PRRSV) is a causative agent of an important infectious disease causing serious economic losses to swine industry called PRRS (porcine reproductive and respiratory syndrome). The clinical signs of this syndrome indcude respiratory disorders, abortions and variable mortality in piglets. To compare the virulence of highly diverse East European strains belonging to subtype 2 (Russian strain ILI and Belarusian strain BOR) and Danish strain from classical subtype 1 (DAN) the experimental study enrolling infection of piglets was performed. Gene expression profiles of peripheral blood mononuclear cells (PBMC) of piglets infected with three PRRSV strains vs control piglets were analysed by microarray analysis to gain insight into transcriptome changes after PRRSV infection.
Project description:African swine fever (ASF) is the most dangerous disease of pigs and causes enormous economic losses in the global pig industry. However, the mechanism of ASF virus (ASFV) infection is unclear. Hence, we wanted to understand the host response mechanism upon ASFV infection. We analyzed the differentially expressed proteins (DEPs) between ASFV-infected and un-infected serum samples using quantitative proteomics. Setting the p-value < 0.05 and |log2 (fold change)| > 1.5, we identified 173 DEPs, including 57 upregulated and 116 downregulated proteins, which belonged to various biological processes and pathways according to the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. The enriched pathways include the immune system, metabolism, and inflammation.
Project description:Weaning is a very critical period for piglets, typically accompanied by lower feed intake, weight loss after weaning and increased mortality. At weaning, piglets are exposed to many stressors, such as loss of mothering, mixing with other litters, end of lactational immunity, and a change in their environment and gut microbiota. After weaning, morphological and histological changes occur in the small intestine of piglets producing a rapid change of feeding regime which is critical for the immature digestive system. Sixteen female piglets were weaned to assess the effect of sorbic acid supplementation on the small intestine tissue transcriptome. At weaning day (T0), 4 piglets were sacrified and tissue samples collected. The remaining 12 piglets were weighted and randomly assigned to different post weaning (T5) diets. Diet A (n=6) contained 5 g/kg of sorbic acid. Diet B (n=6) is the same as Standard diet. Total RNA was isolated from ileum samples to be analyzed using the a CombiMatrix CustomArrayTM 90K platform . Even though diet had no detectable effect during the first 5 days after weaning, outcomes from this study highlighted some of the response mechanisms to the stress of weaning occurring in the piglet gut. A total of 205 differentially expressed genes were used for functional analysis using bioinformatics through BLAST2GO, Ingenuity Pathway Analysis 8.0, and the Dynamic Impact Aproach (DIA). Bioinformatics analysis revealed that Apoptosis, RIG-I-like and NOD-like receptor signaling were altered as a result of weaning. Results suggest that immune and inflammatory responses were activated and likely are a cause of small intestine atrophy as revealed by a decrease in villus height and villus/crypt ratio. Keywords: weaning, gut, gene expression, sorbic acid, microarray analysis
Project description:In this study, we applied the isobaric tags for relative and absolute quantitation (iTRAQ) technique to detect alterations in the proteomic profile of the jejunal mucosa using a porcine model in which piglets were offered the protein-limited (PL) diet. Protein identification and quantification for iTRAQ experiments were performed using ProteinPilot (v4.0.8085) software. The LC-MS/MS data were searched against the UniProtKB (sus scrofa). To minimize the false discovery rate (FDR), a threshold for protein identification was applied, with the confident value > 95% (amount to the confident value “unused ProtScore” > 1.3 in ProteinPilot software), and at least one unique peptide was considered for protein identification. Proteins that were quantified with fold change > 2.0 were considered to be differentially expressed proteins. We identified 5275 proteins, 202 of which were differentially expressed. Furthermore, we adopted function annotation analysis of all identified proteins and function enrichment analysis of all differentially expressed proteins to explore more meaningful proteins and pathways.