Similar Datasets
Project description:Background: Dengue virus (DENV) spread widely, causing not only dengue fever, dengue haemorrhagic fever, and dengue shock syndrome but also renal damage, which results in a poor prognosis. MicroRNA (miRNA) has attracted attention in recent years due to its regulatory functions in the transcriptomes of viral and host genomes. However, research on the function of miRNAs in the pathogenesis of dengue and dengue-associated nephropathy is still in the early stages. Methods: We investigated the miRNA libraries from uninfected and DENV-infected mouse kidney tissue with high-throughput miRNA-seq technology, performed genomic analysis, and subsequently, practiced target gene prediction and enrichment analysis of differentially expressed miRNAs (DEmiRNAs). Result: We identified 32 DEmiRNAs, including 19 with upregulated and 13 with downregulated expression, with miR-206-3p, miR-206, and miR-135a-5p showing significantly upregulated expression, the first two were associated with AKT phosphorylation, and the latter was associated with inflammation, however, those factors have been rarely investigated. MiR-122-5p, a potential biomarker in dengue, was downregulated in the kidney, in contrast to previous studies. Subsequently, we predicted 2209 potential target genes of the differentially expressed miRNAs and explored the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis, showing the pathogenic mechanisms of dengue in which the factors participated, which included viral replication and inflammatory response. Conclusion: The current study investigates overall miRNA expression in mouse kidneys as a result of DENV-2 infection in vivo. These results may broaden the scope of knowledge about how miRNAs regulate the occurrence and development of DENV infection and in turn enhance the prevention and treatment of severe dengue and associated renal disease. In this study, RNA-Seq analysis of kidney tissues from a mouse model after DENV infection was performed to identify differential miRNA expression profiles, predicted target genes, and analyzed the biological functions and pathways involved in the regulation of differential miRNAs.
2025-09-10 | GSE213108 | GEO
Project description:These 40 microarray datasets represent whole blood samples from 31 primary dengue infection patients and 9 healthy volunteers from Managua, Nicaragua. The dengue infection patients include both primary dengue fever (DF) and primary dengue hemorrhagic fever (DHF) cases.
2018-07-31 | GSE96656 | GEO
Project description:Dengue virus is an + strand RNA virus. We have carried our infections of human cells with Dengue and analyzed the translation, replication, and localization of the Dengue RNA. This allowed for clear definition of the life cycle of the Dengue virus inside a host cell. We also assessed the host response to Dengue virus, finding that a large fraction of the translational response is due to Interferon function. Translational and transcriptional analysis of the cellular response to Dengue virus infection
2016-09-01 | E-GEOD-69602 | biostudies-arrayexpress
Project description:This pilot study, aimed to profile the host transcriptome as a potential strategy for identifying specific biomarkers for dengue prediction and detection. High-throughput RNA-sequencing (RNA-seq) was employed to generate host transcriptome profiles in 16 dengue patients and 10 healthy controls. Differentially expressed genes (DEGs) were identified in patients with severe dengue and those with dengue with warning signs compared to healthy individuals. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to elucidate the functions of upregulated and downregulated genes. Compared to healthy controls, 6466 genes were significantly differentially expressed (P < 0.05) in the dengue with warning signs group and 3082 genes in the severe dengue group, with over half being upregulated. The major KEGG pathways implicated included transport and catabolism (14.4%-16.3%), signal transduction (6.6%-7.3%), global and overview maps (6.7%-7.1%), viral diseases (4.6%-4.8%), and the immune system (4.4%-4.6%). Several genes exhibited consistent and significant upregulation across all dengue patients, regardless of severity: Interferon alpha inducible protein 27 (IFI27), Potassium Channel Tetramerisation Domain Containing 14 (KCTD14), Syndecan 1 (SDC1), DCC netrin 1 receptor (DCC), Ubiquitin C-terminal hydrolase L1 (UCHL1), Marginal zone B and B1 cell specific protein (MZB1), Nestin (NES), C-C motif chemokine ligand 2 (CCL2), TNF receptor superfamily member 17 (TNFSF17), and TNF receptor superfamily member 13B (TNFRSF13B). Further analysis revealed potential biomarkers for severe dengue prediction, including TNF superfamily member 15 (TNFSF15), Plasminogen Activator Inhibitor-2 (SERPINB2), motif chemokine ligand 7 (CCL7), aconitate decarboxylase 1 (ACOD1), Metallothionein 1G (MT1G) and Myosin Light Chain Kinase (MYLK2), which were expressed 3.5 times, 2.9 times, 2.3 times, 2.1 times, 1.7 times, and 1.4 times greater, respectively, than dengue patients exhibiting warning signs. The identification of these host biomarkers through RNA-sequencing holds promising implications and potential to augment existing dengue detection algorithms, contributing significantly to improved diagnostic and prognostic capabilities.
2024-10-10 | GSE279208 | GEO
Project description:Dengue virus is an + strand RNA virus. We have carried our infections of human cells with Dengue and analyzed the translation, replication, and localization of the Dengue RNA. This allowed for clear definition of the life cycle of the Dengue virus inside a host cell. We also assessed the host response to Dengue virus, finding that a large fraction of the translational response is due to Interferon function.
2016-09-01 | GSE69602 | GEO
Project description:Dengue virus non-structural protein 3 inhibits mitochondrial respiration by impairing complex I function
2023-11-04 | MSV000093299 | MassIVE
Project description:DNA microarrays and specific RT-PCR assays were used to reveal transcriptional patterns in the blood of children presenting with dengue shock syndrome (DSS) and well-matched patients with uncomplicated dengue. The transcriptome of patients with acute uncomplicated dengue was characterized by a metabolically demanding "host defense" profile; transcripts related to oxidative metabolism, interferon signaling, protein ubiquination, apoptosis and cytokines were prominent. In contrast, the transcriptome of DSS patients was surprisingly benign, particularly with regard to transcripts derived from apoptotic and type I interferon pathways. These data highlight significant heterogeneity in the type or timing of host transcriptional immune responses precipitated by DENV infection independent of the duration of illness. In particular, they suggest that if transcriptional events in the blood compartment contribute to capillary leakage leading to hypovolemic shock, they occur before cardiovascular decompensation occurs, a finding that has implications for rational adjuvant therapy in this syndrome. Whole blood transcriptional profiles of children infected with dengue virus with different clinical outcomes were compared. The subjects including 9 acute dengue shock samples, 9 acute uncomplicated dengue samples, 6 autologous follow up dengue samples and 6 autologous follow up uncomplicated dengue patients. Microarray data was normalised using Genespring GX7 software, statistical analysis was performed in Multiexperiment viewer software. Pathway analysis was performed using Ingenuity Pathway analysis online software.
2008-12-18 | E-GEOD-13052 | biostudies-arrayexpress