Project description:An essential tissue involved in the development and regulation of lipid metabolism in animals is adipose tissue. The “fat-tail” can supply energy for sheep during migration and winter when a low amount of dry matter intake is available. Tail fat content affects meat quality and varies significantly among the different breeds of sheep. Ghezel (fat-tailed) and Zel (thin-tailed) are two important local Iranian sheep breeds that show different patterns of fat storage. The current study presents the transcriptome characterization of tail fat using RNA-sequencing in order to get a better comprehension of the molecular mechanism of lipid storage in the two sheep breeds. The results of sequencing were analyzed with bioinformatics methods, including differentially expressed genes (DEGs) identification, functional enrichment analysis, structural classification of proteins, protein–protein interaction (PPI), network analysis and module analysis. The results revealed a total of332 DEGs between the Zel and Ghezel breed, with78 up-regulated and 254 down-regulated DEGs in the Zel breed. Identification of differential genes showed that some DEGs, such as IL-6, LIPG, SAA1, SOCS3 and HIF-1α, with the largest fold change had close association with lipid deposition. Also, important lipid storage genes such as FASN and SCPEP1 had high levels of expression. Furthermore, functional enrichment analysis revealed some pathways associated with fat deposition, such as “Fatty acid metabolism”, “Fatty acid biosynthesis” and“HIF-1 signaling pathway”. In addition, structural classification of proteins showed major DEGs in transcription factor classes such as JUNB, NR4A3, FOSL1, MAFF, NR4A1, CREB3L1 and ATF3 were up-regulated in the Zel breed. IL-6, JUNB, and related DEGs were up-regulated in the PPI network.HMGCS1, SUCLA2 and STT3B and related DEGs were down-regulated in the PPI network and had high topology scores as hub genes. This implies the DEGs of these modules are important candidate genes for tail fat metabolism and, therefore, can be further studied.

Project description:Purpose: We compared the levels of miRNA specific for DEGs in isograft corneas with those in normal corneas, as well as the levels of miRNA specific for DEGs in allograft corneas with those in isograft corneas, to gain a better understanding of molecular variables that affect corneal graft rejection pathways. Methods: Illumina Hiseq 2500 deep sequencing was used to screen for differentially expressed genes (DEGs) in matched pairs of isograft corneas and normal corneas, allograft corneas and isograft corneas. Potential target genes among the DEGs were predicted using target prediction software (TargetScan, Miranda, miRDB, and CLIP), and the overlay portion was analyzed using the Gene Ontology (GO) database and the Kyoto Encyclopedia of Genes and Genomes (KEGG). An analysis of the interactions between DEG proteins (PPI analysis) and a MetaCore software analysis. Results: Our results showed that 22 miRNAs were significantly upregulated and 4 were significantly downregulated in the isograft group when compared with the control group (P < 0.01), while 17 miRNAs were significantly upregulated and 3 were significantly downregulated in the allograft group when compared with the isograft group (P < 0.01). Among the miRNAs with altered expression levels, miR-155-5p, miR-142-3p, miR-142-5p, and miR-223-3p displayed simultaneous changes in the above two comparisons. Potential target genes among the DEGs were predicted using target prediction software, and the overlay portion was analyzed using the Gene Ontology (GO) database and the Kyoto Encyclopedia of Genes and Genomes (KEGG). GO and KEGG analyses showed that the DEGs were mainly involved in metabolic pathways, cytokine secretion, and tumor immunity functions. An analysis of the interactions between DEG proteins (PPI analysis) and a MetaCore software analysis of 4 key DEGs revealed that the genes regulated by miR-155-5p played important roles in the miRNA-mRNA regulatory network. Furthermore, the MetaCore analysis identified C/EBP beta, p53, and sp1 as key transcription factors in that network. Conclusions: Our study identified transplanted corneas-specific miRNA in matched pairs of isograft corneas and normal corneas, allograft corneas and isograft corneas. Furthermore, bioinformatics analysis of the key miRNA regulatory network revealed the molecular mechanisms, which suggests miRNAs may as new molecular targets for treating corneal injuries and corneal transplant rejection

Dataset Information

Bioinformatics analysis of differentially expressed genes and pathways in the development of Juvenile-Onset Recurrent Respiratory Papillomatosis

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets