Similar Datasets
Project description:Microarray expression profile from human dendritic cells (DCs) with or without DENV infection
| PRJNA722845 | ENA
Project description:Dengue virus (DENV) infection is a major emerging disease in tropical and subtropical countries and the influence of host genetics during early phases of infection remains to be fully elucidated. Here we use dendritic cells (DCs) and macrophages from healthy individuals to establish inter-individual variability in DENV infection and antibody-mediated enhancement (ADE). We show that host-related factors determine the severity of the infection rate both in DENV-infected DCs and macrophages following ADE. We then correlate the inter-individual variability in infection rates with genome-wide transcript abundance measured by RNA sequencing in DCs following DENV infection. We report 190 host-related transcripts in DCs that correlate markedly with infection rates that form an ubiquitin-mediated antiviral network. Furthermore, these transcripts are enriched for glycolysis, which we show is critical for the early phases of infection. Among virus induced transcripts (i.e. significant correlation only after DENV), we identify DUSP10 as the best indicator of the severity of infection. These results indicate the importance of host genetics in shaping the severity of DENV infection rates in DCs and identify novel potential DENV-susceptibility targets.
2021-02-26 | GSE111330 | GEO
Project description:T helper type 2 (Th2) responses are induced by protease allergens and helminthes. However the molecular mechanisms that initiate Th2 responses are poorly understood. To obtain insight into this mechanism, we performed a microarray analysis of lymph node DCs stimulated in vitro with the protease allergen papain, or with LPS, a Th1 inducing stimulus. Key words: Th2 response, LPS, dendritic cells, Papain CD11c+ DCs were isolated from the lymph nodes of C57BL/6 mice, and cultured in vitro (1x106 DCs per ml) with 500 3T3-CD40L fibroblasts, either alone, or in the presence of papain (25 µg/ml) or LPS (1 µg/ml). 4h and 17h later, the cells were harvested and RNA isolated and processed for microarray analyses. RNA was extracted and processed from freshly isolated LN DCs. For a given time point, the expression profile of DCs treated with papain or LPS, were compared to that of untreated DCs
2010-05-05 | E-GEOD-21602 | biostudies-arrayexpress
Project description:Background. Dengue caused by dengue virus (DENV) serotypes -1 to -4 is the most important mosquito-borne viral disease in the tropical and sub-tropical countries worldwide. Yet many of the pathophysiological mechanisms of host responses during DENV infection remain largely unknown and incompletely understood. Methods. Using a mouse model, the miRNA expressions in liver during DENV-1 infection was investigated using high throughput miRNA sequencing. The differential expression of miRNAs were then validated by qPCR, followed by target genes prediction. The identified miRNA targets were subjected to gene ontology (GO) annotation and pathway enrichment analysis to elucidate the potential biological pathways and molecular mechanisms associated with DENV-1 infection. Results. A total of 224 and 372 miRNAs out of 433 known mouse miRNAs were detected in the livers of DENV-1-infected and uninfected mice, respectively; of these, 207 miRNAs were present in both libraries. The miR-148a-3p and miR-122-5p were the two most abundant miRNAs in both groups. Thirty-one miRNAs were found to have at least 2-fold change in upregulation or downregulation, in which seven miRNAs were upregulated and 24 miRNAs were downregulated in the DENV-1-infected mouse livers. The miR-1a-3p was found to be the most downregulated miRNA in the DENV-1-infected mouse livers, with a significant fold change of 0.10. To validate the miRNA sequencing result, the expression pattern of 12 miRNAs, which were highly differentially expressed or most abundant, were accessed by qPCR and nine of them correlated positively with the one observed in deep sequencing. In silico functional analysis revealed that the adaptive immune responses involving TGF-beta, MAPK, PI3K-Akt, Rap1, Wnt and Ras signalling pathways were modulated collectively by 23 highly differentially expressed miRNAs during DENV-1 infection. Conclusion. This study provides the first insight into the global miRNA expressions of mouse livers in response to DENV-1 infection in vivo and the possible roles of miRNAs in modulating the adaptive immune responses during DENV-1 infection.
2019-03-05 | GSE123346 | GEO
Project description:T helper type 2 (Th2) responses are induced by protease allergens and helminthes. However the molecular mechanisms that initiate Th2 responses are poorly understood. To obtain insight into this mechanism, we performed a microarray analysis of lymph node DCs stimulated in vitro with the protease allergen papain, or with LPS, a Th1 inducing stimulus. Key words: Th2 response, LPS, dendritic cells, Papain
2010-05-05 | GSE21602 | GEO
Project description:We exploited label-free quantitative mass spectrometry to compare primary human blood Dendritic cells (DCs) subsets protein expression to identify new markers. Subsets distinguished are: Plasmacytoid DCs (pDC) and BDCA3+ and CD1c+ myeloid DCs and CD16+ monocytes. The dendritic cells were analyzed by LC-MS/MS and processed by MaxQuant for identification and LFQ quantification.
2016-09-27 | PXD004678 | Pride
Project description:Promoter nucleosome positioning in dendritic cells (DCs) and fibroblasts
| PRJNA596186 | ENA
Project description:In order to detect the microRNA expression profile of in vitro generated dendritic cells , purified monocytes from PBMCs were used as dendritic cell (DCs) precursors and were cultured in medium with cocktail for differentiation and maturation to immature dendritic cells (iDCs) and mature dendritic cells (mDCs). microRNA samples were isolated from precursor, iDCs and mDCs and used for microarray-based microRNAs expression profiles. To generate enough amount of immature DC (iDCs) and mature DCs (mDCs), monocytes were differentiated with GM-CSF and rhIL-4 for 2 days and maturated in the presence of TNF-α, IL-1β, IL-6 and PGE2 for another 2 days. With the anticipation to insight developmental-stage-specific microRNAs with potential functions related to monocyte derived DCs, global microRNAs expression profiling was set using microarray technology.microRNA expression profiles were performed in triplicate independent experiments starting for 3 groups of precursor, iDC and mDC generated from different blood donors.
2013-01-28 | E-GEOD-15036 | biostudies-arrayexpress
Project description:In order to detect the gene expression profile of in vitro generated dendritic cells , purified monocytes from PBMCs were used as dendritic cell (DCs) precursors and were cultured in medium with cocktail for differentiation and maturation to immature dendritic cells (iDCs) and mature dendritic cells (mDCs). Total RNA samples were isolated from precursor, iDCs and mDCs and used for microarray-based gene expression profiles. To generate enough amount of immature DC (iDCs) and mature DCs (mDCs), monocytes were differentiated with GM-CSF and rhIL-4 for 2 days and maturated in the presence of TNF-α, IL-1β, IL-6 and PGE2 for another 2 days. With the anticipation to insight developmental-stage-specific genes with potential functions related to monocyte derived DCs, global gene expression profiling was set using microarray technology.gene expression profiles were performed in triplicate independent experiments starting for 3 groups of precursor, iDC and mDC generated from different blood donors.
2013-01-28 | E-GEOD-15075 | biostudies-arrayexpress
Project description:In order to detect the microRNA expression profile of in vitro generated dendritic cells , purified monocytes from PBMCs were used as dendritic cell (DCs) precursors and were cultured in medium with cocktail for differentiation and maturation to immature dendritic cells (iDCs) and mature dendritic cells (mDCs). microRNA samples were isolated from precursor, iDCs and mDCs and used for microarray-based microRNAs expression profiles.
2013-01-28 | GSE15036 | GEO