Nasal scrape gene expression profiling in asthmatics
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE41862 | GEO | 2015/10/23
SECONDARY ACCESSION(S): PRJNA178961
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression profiling was performed on nasal scrape samples obtained from asthmatics and matched healthy controls, to identify markers associated with various asthma subtypes. Nasal scrape samples were collected from asthmatics and healthy controls and subjected to expression profiling using Affymetrix HG-U133Plus2.0 microarrays.
2015-10-23 | E-GEOD-41862 | biostudies-arrayexpress
Project description:Gene expression profiling was performed on sputum samples obtained from asthmatics and matched healthy controls, to identify markers associated with various asthma subtypes.
2015-10-23 | GSE41863 | GEO
Project description:Gene expression profiling was performed on sputum samples obtained from asthmatics and matched healthy controls, to identify markers associated with various asthma subtypes. Sputum samples were collected from asthmatics and healthy controls and subjected to expression profiling using Affymetrix HG-U133Plus2.0 microarrays.
2015-10-23 | E-GEOD-41863 | biostudies-arrayexpress
Project description:Background: Mechanisms underlying the development of virus-induced asthma exacerbations remain unclear. Objective: To investigate if epigenetic mechanisms could be involved in virus-induced asthma exacerbations, we undertook DNA methylation profiling in asthmatic and healthy nasal epithelial cells (NECs) during Human Rhinovirus (HRV) infection in vitro. Methods: Global and loci-specific methylation profiles were determined via Alu element and Infinium Human Methylation 450K microarray respectively. Principal components analysis identified the genomic loci influenced the most by disease-status and infection. Real-time PCR and pyrosequencing was used to confirm gene expression and DNA methylation respectively. Results: Global methylation was increased in Asthmatics during infection. Disease status and virus infection influenced the methylation of 389 loci. Healthy and asthmatic NECs were characterized predominately by methylation profiles and patterns in loci that were not influenced by virus infection. However, both groups also exhibited distinct DNA methylation profiles in response to infection. Despite these differences, we found that the methylation of small nucleolar RNA, H/ACA box 12 (SNORA12) was common during infection. Further analysis indicated a relationship existed between SNORA12 DNA methylation and gene expression in response to infection. Conclusions: Findings from our study indicate that in addition to the well described phenotypic and genomic differences, the airway epithelium of asthmatics is characterized by a distinct methylome and that epigenetic mechanism may contribute to the development of virus-induced asthma exacerbations. Bisulphite converted DNA from matched mock and human rhinovirus-16 infected nasal epithelial cells from Healthy (n=3) and Asthmatics (n=6) adults were hybridized to the Illumina DNA methylation 450K Bead Array.
2014-07-28 | E-GEOD-52074 | biostudies-arrayexpress
Project description:Background: Nasal epithelia are emerging as a proxy measure of gene expression of the airway epithelium in asthma. We hypothesized that epigenetic marks regulate gene expression of the nasal epithelia and consequently may provide a novel target for allergic asthma. Methods: We compared genomic DNA methylation patterns and gene expression in African American children with persistent atopic asthma [N=36] versus healthy controls [N=36]. Results were validated in an independent population of asthmatics [N=30]. Results: We identified 186 genes with significant methylation changes, either as regions (differentially methylated regions [DMRs]) or single CpGs (differentially methylated probes [DMPs]) after adjustment for age, gender, race/ethnicity, batch effects, inflation, and multiple comparisons (false discovery rate-adjusted q<0.05). Genes differentially methylated include those with established roles in asthma and atopy, components of the extracellular matrix, genes related to immunity, cell adhesion, epigenetic regulation, and airway obstruction. The methylation changes are large (median 9.5%, range: 2.6-29.5% methylation change) and similar in magnitude to those observed in malignancies. Hypo- and hyper-methylated genes were associated with increased and decreased gene expression respectively (P<2.8x10-6 for DMRs and P<7.8x10-10 for DMPs). Quantitative analysis of methylation-expression relationships in 53 differentially expressed genes demonstrated that 32 (60%) have significant (q<0.05) methylation-expression relationships within 5kb of the gene. 10 loci selected based on the relevance to asthma, magnitude of methylation change, and asthma specific methylation-expression relationships were validated in an independent cohort of children with asthma. Conclusions: Our findings that epigenetic marks in respiratory epithelia are associated with allergic asthma in inner-city children provide new targets for biomarker development, and novel approaches to understanding disease pathogenesis. case control design with nasal epithelial cells from 36 atopic asthmatic and 36 nonatopic nonasthmatic children from the inner city
2015-11-01 | E-GEOD-65163 | biostudies-arrayexpress
Project description:Although the nose, as a gateway for organism-environment interactions, may have a key role in asthmatic exacerbation, the rhinobiome of exacerbated children with asthma was widely neglected to date. Deep nasopharyngeal swab specimens, nasal epithelial spheroid cultures (NAEsp), and blood samples of acute exacerbated wheezers (WH), asthmatics (AB), and healthy controls (HC) were used for culture (n=146), 16 S-rRNA gene amplicon sequencing (n=64), proteomic and cytokine analyses. Interestingly, Proteobacteria were over-represented in WH (WH to AB: p=0.005; WH to HC: p=0.021), whereas Firmicutes and Bacterioidetes were associated with AB. In contrast, Actinobacteria commonly colonized HCs (PermANOVA p=0.005). Moreover, Staphylococcaceae (p<0.05), Enterobacteriaceae (p<0.05), Burkholderiaceae (p<0.05), Xanthobacteraceae (p<0.05), and Sphingomonadaceae (p<0.05) were significantly more abundant in AB compared to WH and HC. The α‐diversity analyses demonstrated an increase of bacterial abundance levels in atopic AB and a decrease in WH samples. Microbiome profiles of atopic WH differed significantly from atopic AB. The NAEsp bacterial exposure with M. catarrhalis, S. aureus and H. influenzae experiments provided a disrupted epithelial cell integrity, a cytokine release and cohort specific proteomic differences especially for M. catarrhalis cultures. Our comprehensive dataset contributes to a deeper insight into the poorly understood plasticity of the nasal microbiota, and, in particular, may enforce our understanding in the pathogenesis of asthma exacerbation in childhood.
2021-05-27 | PXD024694 | Pride
Project description:Background: Around 5% of children with asthma suffer from chronic symptoms and/or severe exacerbations despite extensive treatment. The causes of severe therapy-resistant childhood asthma are poorly understood. Objectives: To define global patterns of gene expression in severe therapy-resistant vs. controlled asthma and healthy controls. Methods: Children with severe, therapy-resistant (SA, n=20) and controlled asthma (CA, n=20) were identified from a Swedish nation-wide study including extensive clinical and immunological characterisation. In addition, healthy controls were recruited (Ctrl, n=19). White blood cells were isolated and the global transcriptome profile was characterised using the Affymetrix Human Gene ST 1.0 chip. Results: 1378 genes were differentially expressed in one or several of the CA vs. Ctrl, SA vs. CA or SA vs. Ctrl contrasts. A large number could uniquely differentiate the SA group from the CA (n=351 genes) and Ctrl (n=315) groups, whereas fewer genes differentiated the CA from the Ctrl group (n=149). Several non-coding RNAs were found up-regulated in SA compared to CA or Ctrl. Three significantly enriched KEGG pathways were represented; bitter taste transduction, TAS2Rs (up-regulated mostly in SA), natural killer cell mediated cytotoxicity (up-regulated in CA) and N-Glycan biosynthesis (down-regulated in SA). An unsupervised hierarchical clustering of the 1378 genes could crudely separate the SA, CA and Ctrl individuals. Conclusion: Our data indicate a separation in gene expression patterns between children with severe, therapy-resistant asthma and controlled persistent asthma, and suggest novel pathways characterizing the severe therapy-resistant asthma phenotype. The transcriptomes of 59 subjects were assayed on the Affymetrix Human Gene ST 1.0 expression array. All samples passed pre-hybridisation quality control. After pre-processing and quality control of the post-hybridised arrays, five samples were regarded as outliers and removed (ctrl 510, MA 248, SA 141, SA 261, SA 41). The remaining sample set of 17 severe asthmatics (SA), 19 mild asthmatics (MA) and 18 controls (ctrl) were used for down-stream analysis.
2011-12-01 | E-GEOD-27011 | biostudies-arrayexpress
Project description:Molecular profiling studies in asthma cohorts have identified a Th2-driven asthma subtype, characterized by elevated lower airway expression of POSTN, CLCA1 and SERPINB2. To assess upper airway gene expression as a potential biomarker for lower airway Th2 inflammation, we assayed upper airway (nasal) and lower airway (bronchial) epithelial gene expression, serum total IgE, blood eosinophils and serum periostin in a cohort of 54 allergic asthmatics and 30 matched healthy controls. 23 of 51 asthmatics in our cohort were classified as âTh2 highâ based on lower airway Th2 gene signature expression. Consistent with this classification, âTh2 highâ subjects displayed elevated total IgE and blood eosinophil levels relative to âTh2 lowâ subjects. Upper airway Th2 signature expression was significantly correlated with lower airway Th2 signature expression (r=0.44), with similar strength of association as serum total IgE and blood eosinophils, known biomarkers of Th2 inflammation. In an unbiased genome-wide scan, we identified 8 upper airway genes more strongly correlated with lower airway Th2 gene signature expression (r=0.58), including Eotaxin-3 (CCL26), Galectin-10 (CLC) and Cathepsin-C (CTSC). Asthmatics classified as âTh2 highâ using this 8-gene signature show similar serum total IgE and blood eosinophil levels as âTh2 highâ asthmatics classified using lower airway Th2 gene signature expression. We have identified an 8-gene upper airway signature correlated with lower airway Th2 inflammation, which may be used as a diagnostic biomarker for Th2-driven asthma. Upper airway (nasal) and lower airway (bronchial) epithelial brushings obtained from a cohort of 54 allergic asthmatics and 30 matched healthy controls were profiled by gene expression by microarray. Subjects were assayed for gene expression, serum total IgE, blood eosinophils and serum periostin.
2015-10-23 | E-GEOD-41861 | biostudies-arrayexpress
Project description:Background: Nasal epithelia are emerging as a proxy measure of gene expression of the airway epithelium in asthma. We hypothesized that epigenetic marks regulate gene expression of the nasal epithelia and consequently may provide a novel target for allergic asthma. Methods: We compared genomic DNA methylation patterns and gene expression in African American children with persistent atopic asthma [N=36] versus healthy controls [N=36]. Results were validated in an independent population of asthmatics [N=30]. Results: We identified 186 genes with significant methylation changes, either as regions (differentially methylated regions [DMRs]) or single CpGs (differentially methylated probes [DMPs]) after adjustment for age, gender, race/ethnicity, batch effects, inflation, and multiple comparisons (false discovery rate-adjusted q<0.05). Genes differentially methylated include those with established roles in asthma and atopy, components of the extracellular matrix, genes related to immunity, cell adhesion, epigenetic regulation, and airway obstruction. The methylation changes are large (median 9.5%, range: 2.6-29.5% methylation change) and similar in magnitude to those observed in malignancies. Hypo- and hyper-methylated genes were associated with increased and decreased gene expression respectively (P<2.8x10-6 for DMRs and P<7.8x10-10 for DMPs). Quantitative analysis of methylation-expression relationships in 53 differentially expressed genes demonstrated that 32 (60%) have significant (q<0.05) methylation-expression relationships within 5kb of the gene. 10 loci selected based on the relevance to asthma, magnitude of methylation change, and asthma specific methylation-expression relationships were validated in an independent cohort of children with asthma. Conclusions: Our findings that epigenetic marks in respiratory epithelia are associated with allergic asthma in inner-city children provide new targets for biomarker development, and novel approaches to understanding disease pathogenesis.
2015-11-01 | GSE65163 | GEO
Project description:Acute respiratory illness (ARI) is the leading cause of asthma exacerbations yet the mechanisms underlying this association remain unclear. To address the deficiencies in our understanding of the molecular mechanisms driving ARI-induced asthma exacerbations, we undertook a transcriptional profiling study of the nasal mucosa over the course of ARI amongst individuals with a history of asthma, allergic rhinitis and no underlying respiratory disease. We found that ARI is characterized by dynamic, time-specific transcriptional profiles whose magnitudes of expression are influenced by underlying respiratory disease and the mucosal repair signature evoked during ARI. Most strikingly, we report that asthmatics that experience ARI-induced exacerbations are characterized by a reduced but prolonged inflammatory immune response, inadequate activation of mucosal repair and the expression of a newly described exacerbation-specific signature. Findings from our study represent a significant contribution towards clarifying the complex molecular interactions which typify ARI-induced asthma exacerbations.
2013-08-02 | GSE46171 | GEO