Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA217394 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression (Npatients = 21, Ncontrols = 21) of CD4+ T-cells failed to seperate patients with seasonal allergic rhinitis (SAR) and healthy controls in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen for 7 days. PBMCs from 21 patients (P) and 21 healthy controls (H) were challenged with grass pollen for 7 days. Diluent challenged control samples were obtained from all subjects. CD4+ cells were purified by MACS.
2013-08-28 | E-GEOD-50223 | biostudies-arrayexpress
Project description:Gene expression (Npatients = 21, Ncontrols = 21) of CD4+ T-cells failed to seperate patients with seasonal allergic rhinitis (SAR) and healthy controls in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen for 7 days.
2013-08-28 | GSE50223 | GEO
Project description:Allergen-challenged CD4+ cells from patients with seasonal allergic rhinitis
| PRJNA120277 | ENA
Project description:Allergen-stimulated CD4+ T cells from hen's egg allergic patients
| PRJNA100461 | ENA
Project description:Altered DNA methylation patterns in CD4+ T-cells indicate the importance of epigenetic mechanisms in inflammatory diseases. However, the identification of these alterations is complicated by the heterogeneity of most inflammatory diseases. Seasonal allergic rhinitis (SAR) is an optimal disease model for the study of DNA methylation because of its well-defined phenotype and etiology. We generated genome-wide DNA methylation (Npatients = 8, Ncontrols = 8) and gene expression (Npatients= 9, Ncontrols = 10) profiles of CD4+ T-cells from SAR patients and healthy controls using Illumina’s HumanMethylation450 and HT-12 microarrays, respectively. DNA methylation profiles clearly and robustly distinguished SAR patients from controls, during and outside the pollen season. Moreover, we found that this methylation signature correlated with symptom severity. In agreement with previously published studies, gene expression profiles of the same samples failed to separate patients and controls. Separation by methylation (Npatients = 12, Ncontrols = 12), but not by gene expression (Npatients = 21, Ncontrols = 21; GSE50223) was also observed in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen. We observed changes in the proportions of memory T-cell populations between patients (Npatients = 35) and controls (Ncontrols= 9), which could explain the observed difference in DNA methylation. Our data highlight the potential of epigenomics in the stratification of immune disease and represents the first successful molecular classification of SAR using CD4+ T cells. Genomic DNA was isolated from CD4+ T-cells of patients with seasonal allergic rhinitis and healthy controls both during and outside the pollen season. Genomic DNA was bisulfite converted and hybridized to Illumina HumanMethylation450 BeadChip (Illumina, San Diego, CA) and scanned using the Illumina iScan.
2013-12-01 | E-GEOD-50222 | biostudies-arrayexpress
Project description:Altered DNA methylation patterns in CD4+ T-cells indicate the importance of epigenetic mechanisms in inflammatory diseases. However, the identification of these alterations is complicated by the heterogeneity of most inflammatory diseases. Seasonal allergic rhinitis (SAR) is an optimal disease model for the study of DNA methylation because of its well-defined phenotype and etiology. We generated genome-wide DNA methylation (Npatients = 8, Ncontrols = 8) and gene expression (Npatients= 9, Ncontrols = 10) profiles of CD4+ T-cells from SAR patients and healthy controls using Illumina’s HumanMethylation450 and HT-12 microarrays, respectively. DNA methylation profiles clearly and robustly distinguished SAR patients from controls, during and outside the pollen season. Moreover, we found that this methylation signature correlated with symptom severity. In agreement with previously published studies, gene expression profiles of the same samples failed to separate patients and controls. Separation by methylation (Npatients = 12, Ncontrols = 12), but not by gene expression (Npatients = 21, Ncontrols = 21) was also observed in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen. We observed changes in the proportions of memory T-cell populations between patients (Npatients = 35) and controls (Ncontrols= 9), which could explain the observed difference in DNA methylation. Our data highlight the potential of epigenomics in the stratification of immune disease and represents the first successful molecular classification of SAR using CD4+ T cells. Total RNA was isolated from CD4+ T-cells of patients with seasonal allergic rhinitis and healthy controls both during and outside the pollen season. Total RNA was amplified and hybridized to Illumina HT12 version 4 human whole-genome arrays (Illumina, San Diego, CA).
2013-12-01 | E-GEOD-50101 | biostudies-arrayexpress
Project description:We recruit 4 healthy controls (HC) and 4 patients (P) with seasonal allergic rhinitis before (b) sublingual immunotherapy at the same time and also the same patients after one year (a) of sublingual immunotherapy. Peripheral blood mononuclear cells (PBMCs) obtained from patients and controls were challenged with diluent (D) or allergen (A) extracts from birch pollen at a density of 106 cells/mL for 7 days in RPMI 1640 supplemented with 2 mM L-glutamine, 5% human AB serum, 5 μM βâ mercaptoethanol and 50 μg/mL gentamicin. CD4+ T cells were isolated using flow cytometry and the quantity and quality of RNA was examined as described before. Gene expression microarrays (Illumina, San Diego, CA, USA) were performed (by using Agilent G4851B SurePrint G3 Hmn 8Ã60K V2 Microarray Kit).
2017-03-31 | E-MTAB-4366 | biostudies-arrayexpress
Project description:Gene expression analysis in CD4+ T cells extracted from allergen-challenged PBMCs, isolated from discordant MZ twins with IAR MZ twins discordant for intermittent allergic rhinitis (IAR)
2012-04-14 | E-GEOD-37146 | biostudies-arrayexpress
Project description:Six patients with seasonal allergic rhinitis were challenged daily for 8 days with birch pollen extract. A mucosal biopsy was obtained from one nostril at basline (day 0) and from the other nostril after allergen challenge (day 9). The mucosal biopsies were digested into single cells, and then sorted into CD4 T cells and CD45+HLA-DR+ cells. Total RNA was extracted, amplified using whole transcriptome amplification, and gene expression was profiled on microarrays. The study design consisted of 6 subjects, 2 cell types (CD4 T cells, CD45+ HLA-DR+ cells), and 2 conditions (baseline, allergen challenge).
2015-09-01 | E-GEOD-49782 | biostudies-arrayexpress
Project description:Altered DNA methylation patterns in CD4+ T-cells indicate the importance of epigenetic mechanisms in inflammatory diseases. However, the identification of these alterations is complicated by the heterogeneity of most inflammatory diseases. Seasonal allergic rhinitis (SAR) is an optimal disease model for the study of DNA methylation because of its well-defined phenotype and etiology. We generated genome-wide DNA methylation (Npatients = 8, Ncontrols = 8) and gene expression (Npatients= 9, Ncontrols = 10) profiles of CD4+ T-cells from SAR patients and healthy controls using Illumina’s HumanMethylation450 and HT-12 microarrays, respectively. DNA methylation profiles clearly and robustly distinguished SAR patients from controls, during and outside the pollen season. Moreover, we found that this methylation signature correlated with symptom severity. In agreement with previously published studies, gene expression profiles of the same samples failed to separate patients and controls. Separation by methylation (Npatients = 12, Ncontrols = 12), but not by gene expression (Npatients = 21, Ncontrols = 21; GSE50223) was also observed in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen. We observed changes in the proportions of memory T-cell populations between patients (Npatients = 35) and controls (Ncontrols= 9), which could explain the observed difference in DNA methylation. Our data highlight the potential of epigenomics in the stratification of immune disease and represents the first successful molecular classification of SAR using CD4+ T cells.
2013-12-01 | GSE50222 | GEO