Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA130483 | ENA |
REPOSITORIES: ENA
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Project description:Dengue virus (DENV) infection is one of the most serious public health problems worldwide. A recent dengue outbreak in Paraguay (2007-2009) presented unusual manifestations such as hepatitis, encephalitis, pulmonary as well as cardiac disorders associated with 50% of deaths caused by dengue in the country. Despite the knowledge on inflammatory responses observed during the course of disease, the role of innate immune cells in the control of virus replication influencing clinical outcome is poorly defined. Using two clinical isolates of the virus, a non-fatal case of classical DF (DENV3/290) and a fatal case of DF with visceral complications (DENV3/5532), we sought to determine the profile of dengue infection in human dendritic cell, a major innate immune cell population. Compared to classical DENV3/290, the strain DENV3/5532 displayed higher replicative ability in mdDCs. In addition, DENV3/5532 was found to induce elevated production of pro-inflammatory cytokines associated with higher rates of programmed cell death. The observed phenotype was due to viral replication in mdDCs and TNF appeared to display a protective effect on virus-induced mdDCs apoptosis. These results suggest that the fatal case DENV3/5532 isolate modulates dendritic cell survival as well as inflammatory mediator’s synthesis.
2017-08-25 | GSE23986 | GEO
Project description:In vitro experiment of stimulation of monocyte-derived dendritic cells with Saccaromyces cerevisiae in exponential growth phase. This experiment was performed to verify the comparability of microarray experiments using a pathway based logic (Beltrame et al., PLoS 2009) by comparing the analysis of this sample with other seven public data sets on monocyte-derived dendritic cells subjected to different stimuli retrieved from GEO Keywords: Case-control, transcriptional profiling, dendritic cells A case-control experiment consisting of 3 case samples (stimulated dendritic cells) compared to 3 paired (from the same donor) samples
2010-05-14 | E-GEOD-13901 | biostudies-arrayexpress
Project description:Our hypothesis is that dengue induces different innate immune responses in patients with mild respective severe dengue. We further hypothesize that severe dengue infection is a consequence of an over reactive inflammatory response which could be inhibited in an early stage by immune suppressants. We hypothesize that the drugs used in this study induce a down regulated inflammatory response; VP-16 by triggering apoptosis and Rosiglitazone by inhibiting NFkB related cytokine production In-vitro dengue infected U937, transcriptional assessment
2014-04-01 | E-GEOD-28985 | biostudies-arrayexpress
Project description:In vitro experiment of stimulation of monocyte-derived dendritic cells with Saccaromyces cerevisiae in exponential growth phase. This experiment was performed to verify the comparability of microarray experiments using a pathway based logic (Beltrame et al., PLoS 2009) by comparing the analysis of this sample with other seven public data sets on monocyte-derived dendritic cells subjected to different stimuli retrieved from GEO Keywords: Case-control, transcriptional profiling, dendritic cells
2009-01-06 | GSE13901 | GEO
Project description:Our hypothesis is that dengue induces different innate immune responses in patients with mild respective severe dengue. We further hypothesize that severe dengue infection is a consequence of an over reactive inflammatory response which could be inhibited in an early stage by immune suppressants. We hypothesize that the drugs used in this study induce a down regulated inflammatory response; VP-16 by triggering apoptosis and Rosiglitazone by inhibiting NFkB related cytokine production
2014-04-01 | GSE28985 | GEO
Project description:In this analysis, sorted classical (CM), intermediate (IM) and non-classical (NCM) monocyte subsets from children under steady state (healthy, H) and dengue febrile illness (Dengue, D) were analyzed for their transcriptional profiles using RNA seq. The monocyte subsets were sorted from peripheral blood cells after excluding CD3, CD19, CD20, CD56, CD66b and NKp30 positive cells and then gating on HLADR positive population to identify CM, IM and NCM subsets based on surface expression of CD16 and CD14. The transcriptional profile of the three monocyte subsets was separately compared in healthy children, in dengue febrile children and in dengue versus healthy states. This study highlights hierarchy of gene expression in classical, intermediate and non-classical monocytes in healthy and dengue febrile conditions.
2022-05-16 | GSE176079 | GEO
Project description:Background: dengue is a potentially life-threatening viral infection. Early prognostic markers of severe complications may improve case management and reduce dengue-related mortalities. This study aimed to identify circulating microRNAs (miRNAs) as biomarkers for predicting severe dengue. Methods: Serum samples from dengue-infected patients were collected on the first day of admission. Patients were followed up for 14 days after admission to determine the final diagnosis. Participants were divided into non-severe and severe dengue, as defined by WHO 2009 criteria. Circulating microtranscriptome analysis was performed using the NanoString miRNA Expression Assay. The expression level of candidate miRNAs were then validated by quantitative reverse transcription-PCR (qRT-PCR) method. Findings: The discovery cohort (N=19) lead to the identification of 37 differentially expressed miRNAs between the two groups. Six miRNAs (miR122-5p, miR1246, miR1303, miR574-5p, miR30d-5p, and miR424-5p) were selected and further validated in the larger cohort (N=135). The qRT-PCR analysis confirmed that the six miRNAs expression levels were significantly higher in the severe dengue group compared to the non-severe group. Based on receiver operating characteristic (ROC) analysis, miR574-5p and miR1246 displayed the highest diagnostic performance in discriminating between severe from non-severe dengue (AROC curve =0·83). Additionally, miR574-5p and miR1246 had high sensitivity and high negative predictive value for detecting severe dengue. Multivariate analysis suggested that serum miR574-5p was an independent predictor of severe dengue (odds ratio 3·30, 95% CI 1·81-6·04; p<0·001). Interpretation: Circulating miRNAs, especially miR-574-5p and miR-1246, could be promising diagnostic and prognostic biomarkers for severe dengue.
2022-10-26 | GSE190749 | GEO
Project description:In order to gain insights into how PPARg regulates different facets of dendritic cell (DC) differentiation, we sought to identify PPARg regulated genes and gene networks in monocyte-derived dendritic cells using global gene expression profiling. We employed an exogenous ligand activation approach using a selective PPARg ligand (rosiglitazone abbreviated as RSG). In addition, we have defined culture conditions in which human serum (HS) induces PPARg activation via a yet uncharacterized endogenous mechanism. We also compared the gene expression profile of developing dendritic cells obtained from patients harboring dominant negative mutations of the PPARg receptor (C114R and C131Y). Experiment Overall Design: Monocytes were cultured for 6, 24 hours or 5 days with 500 U/ml IL-4 and 800 U/ml GM-CSF; cytokine treatment was repeated at day 3. Cells were obtained from 12 healthy individuals (6 biological replicates; the 6 and 24 hours samples were obtained from a single individual but the 5 days samples from a different one). Ligands were added at the beginning of differentiation. The 6 and 24 hours cells were treated with vehicle (DC) or 1 uM rosiglitazone (DC RSG), in the case of 5 day cultured cells 2.5 uM RSG was used. Cells were cultured in RPMI plus 10% FBS, in the case of DC4-DC6 cells were also cultured in human AB serum (DC HS). Finally we also obtained cells from patients harboring point mutations of the PPARg receptor (C114R and C131Y)
2008-06-16 | E-GEOD-8658 | biostudies-arrayexpress
Project description:We performed RNA-seq experiments on 14 samples to identify differential expressed genes between MelanA- and caIKK-treated monocyte-derived dendritic cells (DCs). DCs electroporated with RNA encoding melanoma antigen recognized by T cells 1 (MelanA) were used as control, and DCs electroporated with RNA encoding constitutively active IKKβ (caIKK) were used as case.
2020-11-02 | E-MTAB-9666 | biostudies-arrayexpress
Project description:Dengue fever is an important tropical illness for which there is currently no virus-specific treatment. To shed light on mechanisms involved in the cellular response to dengue virus (DV), we assessed gene expression changes, using Affymetrix GeneChips (HG-U133A), of infected primary human cells and identified changes common to all cells. The common response genes included a set of 23 genes significantly induced upon DV infection of human umbilical vein endothelial cells (HUVECs), dendritic cells (DCs), monocytes, and B cells (analysis of variance, P < 0.05). Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), one of the common response genes, was identified as a key link between type I and type II interferon response genes. We found that DV induces TRAIL expression in immune cells and HUVECs at the mRNA and protein levels. The induction of TRAIL expression by DV was found to be dependent on an intact type I interferon signaling pathway. A significant increase in DV RNA accumulation was observed in anti-TRAIL antibody-treated monocytes, B cells, and HUVECs, and, conversely, a decrease in DV RNA was seen in recombinant TRAIL-treated monocytes. Furthermore, recombinant TRAIL inhibited DV titers in DV-infected DCs by an apoptosis-independent mechanism. These data suggest that TRAIL plays an important role in the antiviral response to DV infection and is a candidate for antiviral interventions against DV. We used Affymetrix microarrays to study the response of human host cells to dengue virus (DV). Experiment Overall Design: For three human cell types, RNA was extracted and hybridized on Affymetrix microarrays. We compared a total of 10 samples. Five were infected in vitro for 48 hours with DV, including HUVECs (n=2), monocytes (n=2), and B-cells (n=1). Five were mock-infected controls of the same cell types and numbers. From these samples, were identified 23 genes that were induced by DV infection in all of the cell types.
2008-06-16 | E-GEOD-9378 | biostudies-arrayexpress