Immune profiling in subclinical secondary dengue-infected cases
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1218694 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To define adaptive immune signatures associated to protection from hospitalized dengue, we performed in depth immunoprofiling, single cell T cell receptor (TCR) and B cell receptor (BCR) analysis and quantified DENV-specific T cells in Cambodian children with subclinical infection or hospitalized dengue.
2025-07-25 | GSE288613 | GEO
Project description:This dataset comprises single-cell RNA sequencing (scRNA-seq) and immune receptor (TCR/BCR) profiling of peripheral blood mononuclear cells (PBMCs) collected from individuals infected with dengue virus (DENV) exhibiting different clinical severities: asymptomatic dengue (AD), dengue fever (DF), and dengue hemorrhagic fever (DHF). PBMCs were collected during the acute phase and, in some cases, during convalescence. The data provide a resource for understanding protective versus pathogenic immune responses in dengue infection.
2025-08-30 | E-MTAB-15328 | biostudies-arrayexpress
Project description: Not available
| S-EPMC12757132 | biostudies-literature
Project description:Dengue viruses cause two severe diseases that alter vascular fluid barrier functions, dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). While the mechanisms that lead to vascular permeability are unknown, the endothelium plays a central role in regulating fluid and cellular efflux from capillaries. Thus, dysregulation of endothelial cells functions by dengue virus infection may contribute to pathogenesis and severe disease. We used microarrays to investigate the effect of dengue virus infection on gene expression within primary human endothelial cells at various times post infection and identified numerous upregulated antiviral and immune response genes. Early passage primary endothelial cells (HUVECs) were mock infected (no virus) or infected with dengue virus and total RNA collected at 3 timepoints: 12, 24, and 48 hours post infection. Multiple timepoints were analyzed to identify changes in gene expression levels over time. Gene expression from both mock infected and dengue virus infected endothelial cells was evaluated to determine fold induction at each timepoint.
2012-04-10 | E-GEOD-34628 | biostudies-arrayexpress
Project description:There are 19 differentially expressed microRNAs among new HIV-infected cases, old HIV-infected cases and healthy controls. Five microRNAs show trends in healthy controls, new HIV-infected cases and old HIV-infected cases, they are hsa-miR-1291, and hsa-miR-3609 with up-trends, and hsa-miR-3162-3p, hsa-miR-874-5p and hsa-miR-4258 with down-trends.
2017-12-01 | GSE103555 | 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:The goal of this study was to compare the transcriptional profile (RNA-seq) of Dengue virus 2 and mock infected cells at 24 and 36 hours post infection. Dengue virus NS5 protein plays multiple functions in the cytoplasm of infected cells, enabling viral RNA replication and counteracting host antiviral responses. Here, we demonstrate a novel function of NS5 in the nucleus where it interferes with cellular splicing. Using global proteomic analysis of infected cells together with functional studies, we found that NS5 binds spliceosome complexes and modulates endogenous splicing. In particular, we show that NS5 alone, or in the context of viral infection, interacts with core components of the U5 snRNP particle, CD2BP2 and DDX23, alters the inclusion/exclusion ratio of alternative splicing events, and changes mRNA isoform abundance of known antiviral factors. Interestingly, a genome wide transcriptome analysis, using recently developed bioinformatics tools, revealed an increase of intron retention upon dengue virus infection, and viral replication was improved by silencing specific U5 components. Different mechanistic studies indicate that binding of NS5 to the spliceosome reduces the efficiency of pre-mRNA processing, independently of NS5 enzymatic activities. We propose that NS5 binding to U5 snRNP proteins hijacks the splicing machinery resulting in a less restrictive environment for viral replication.
2016-08-09 | GSE84285 | GEO
Project description:The goal of this study was to compare the transcriptional profile (RNA-seq) of Dengue virus 2 and mock infected cells at 24 and 36 hours post infection. Dengue virus NS5 protein plays multiple functions in the cytoplasm of infected cells, enabling viral RNA replication and counteracting host antiviral responses. Here, we demonstrate a novel function of NS5 in the nucleus where it interferes with cellular splicing. Using global proteomic analysis of infected cells together with functional studies, we found that NS5 binds spliceosome complexes and modulates endogenous splicing. In particular, we show that NS5 alone, or in the context of viral infection, interacts with core components of the U5 snRNP particle, CD2BP2 and DDX23, alters the inclusion/exclusion ratio of alternative splicing events, and changes mRNA isoform abundance of known antiviral factors. Interestingly, a genome wide transcriptome analysis, using recently developed bioinformatics tools, revealed an increase of intron retention upon dengue virus infection, and viral replication was improved by silencing specific U5 components. Different mechanistic studies indicate that binding of NS5 to the spliceosome reduces the efficiency of pre-mRNA processing, independently of NS5 enzymatic activities. We propose that NS5 binding to U5 snRNP proteins hijacks the splicing machinery resulting in a less restrictive environment for viral replication. A549 cells where infected with Dengue virus 2 or mock and after 24 and 36 hours post infection mRNA was purified. Then the transcriptional profile of these cells was analyzed using RNA-seq.
2016-08-09 | E-GEOD-84285 | biostudies-arrayexpress
Project description:Gene expression analysis of dengue-infected cells
| PRJNA433885 | ENA
Project description:Whole blood RNA-seq of pediatric cases of natural Dengue infection
| PRJNA590999 | ENA