Project description:Long non-coding RNAs (lncRNAs) play important roles in diverse biological processes. However, the landscape of lncRNAs is largely unclear in Sus scrofa. Here we performed stranded RNA-seq on total RNA libraries from over 100 samples of Sus scrofa tissues. We identified 10,813 lncRNAs in Sus scrofa, of which 9,075 are novel. 57% of these lncRNAs were conserved in both human and mouse. These conserved lncRNAs tend to be more tissue-specific than pig-specific lncRNAs, and enriched in reproducible organs (i.e. testis and ovary). We characterized a group of lncRNAs potentially involved in the skeletal muscle development. One such lncRNA, a homolog of maternally expressed gene 3 (MEG3), was specifically expressed in the skeletal muscle at early developmental stage. And its expression pattern is conserved in pig and mouse. By over-expressing and knocking down MEG3 in mouse myoblast cell lines, we demonstrated its novel function as a myoblast proliferation suppressor.
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.
