Allergen challenged CD4+ cells from allergic patients and healthy controls
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE50223 | GEO | 2013/08/28
SECONDARY ACCESSION(S): PRJNA217394
REPOSITORIES: GEO
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:Seasonal allergic rhinitis (SAR) is a complex disease that is caused by many interacting genes and environmental factors. It is also an excellent model disease for clinical studies; it is common, it is seasonal, and since it takes place in the nasal cavity it can be studied in vivo non-invasively. Furthermore, the key disease cell, the Th2 cell is known. We study SAR using allergen-challenged CD4+ cells from allergic patients.
2009-10-16 | GSE18574 | GEO
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: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
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.
2013-12-01 | GSE50101 | GEO
Project description:Allergen exposure was thought to play a critical role in the etiology of AR. And allergen avoidance, the practice of avoiding exposure to allergens, has been generally advised as the management of AR. However, the effect is uncertain and the underlying mechanism is far from known. We used gene expression microarrays to identify genes differentially regulated by allergen avoidance in allergic rhinitis mouse model.
2013-11-28 | GSE52804 | GEO
Project description:Allergen exposure was thought to play a critical role in the etiology of AR. And allergen avoidance, the practice of avoiding exposure to allergens, has been generally advised as the management of AR. However, the effect is uncertain and the underlying mechanism is far from known. We used gene expression microarrays to identify genes differentially regulated by allergen avoidance in allergic rhinitis mouse model. Affymetrix Mouse Gene 1.0 ST arrays were used to identify the expression profiling of nasal mucosa in three groups of mice: (1) mice sensitized and challenged with saline (control group); (2) mice sensitized and challenged with ovalbumin (OVA) and sacrificed 2 hours after the last challenge (OVA group); (3) mice sensitized and challenged with OVA and sacrificed 4 weeks after the last challenge (4w-after group).
2013-11-28 | E-GEOD-52804 | biostudies-arrayexpress
Project description:This study investigated temporal transcriptomic changes in response to nasal allergen challenge of titrated timothy grass pollen. This is an open single-center observational study conducted outside the pollen season. Twelve participants with seasonal allergic rhinitis underwent a control (diluent) challenge followed by nasal allergen challenge after an interval of 14 days. On each challenge day, nasal challenge with control or titrated timothy grass pollen (Aquagen, phleum pratense; ALK) was administered. Peripheral blood was collected before nasal challenge (baseline) and at 3, 6 and 24 hours following challenge. RNA was extracted from whole blood and CD4 cells for microarray experiment using Affymetrix Human Gene 1.0 ST arrays.
2013-01-16 | E-GEOD-43497 | biostudies-arrayexpress
Project description:Allergen-specific IgE antibodies mediate allergic pathology in diseases such as allergic rhinitis and food allergy. Memory B cells (MBCs) contribute to circulating IgE by regenerating IgE-producing plasma cells upon allergen encounter. We report a population of type 2 polarized MBCs defined as CD23hi, IL-4Rαhi, CD32low at the transcriptional and surface protein levels.
2023-11-25 | GSE248256 | GEO