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:Background: Dengue virus (DENV) infection induces various clinical manifestations and even causes organ injuries, leading to severe dengue haemorrhagic fever and dengue shock syndrome. Hepatic dysfunction was identified as a risk predictor of progression to severe disease during the febrile phase of dengue. However, the underlying mechanisms of hepatic injury remain unclear. Methods: A model of dengue disease was established in IFNAR−/− C57BL/6 mice by challenge with DENV-2. Body weight, symptoms, haematological parameters and liver pathological observations in mice were used to determine the effects of DENV infection. Liver transcriptome sequencing was performed to evaluate the features of the host response FNAR mice challenged with DENV. Functional enrichment analysis and analysis of significantly differentially expressed genes (DEGs) were used to determine the critical molecular mechanism of hepatic injury. Results: We observed haemoconcentration, leukopenia and liver pathologies in mice, consistent with findings in clinical dengue patients. Some differences in gene expression and biological processes were identified in this study. Transcriptional patterns in the liver indicated that antiviral responses to DENV and tissue damage via abnormal expression of proinflammatory cytokines were induced. Further analysis showed that the upregulated DEGs were significantly enriched in the leukocyte transendothelial migration, complement and coagulation cascades, and cytokine-cytokine receptor interactions signalling pathways, which are considered to be closely associated with the pathogenic mechanism of dengue. IL6, IL 10, ICAM-1, VCAM-1, MMP9 and NLRP3 were identified as biomarkers of progression to severe disease. Conclusions: The interactions of these cytokines, which activate inflammatory signalling, may lead to organ injury and haemoconcentration and even to vascular leakage in tissues, including the mouse liver. Our study identifies candidate host targets that could be used for further functional verification. In this study, we aimed to evaluate the transcriptomics features of liver injury in a mouse model of dengue virus infection based on a lethal animal model, and then perform a series of functional analyses to partially elucidate the underlying pathogenesis of DENV-induced liver injury.

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