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Series GSE19187 Query DataSets for GSE19187
Status Public on Jan 05, 2012
Title Nasal epithelium gene expression profiling in child respiratory allergic disease
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Aim: To analyze dysfunctions of epithelium in dust mite allergic respiratory disease (rhinitis ± asthma) in children.

Methods: Expression profilings of nasal epithelial cells collected by brushing were performed on Affymetrix Hugene 1.0 ST arrays. All allergic patients were sensitized to dust mite. 19 patients had an isolated allergic rhinitis (AR). 14 patients had AR associated with asthma. Patients were compared to 12 controls, their severity and control being assessed according to NAEPP and ARIA criteria. Infections by respiratory viruses were excluded by real-time PCR measurements.

Results: 61 probes were able to distinguish allergic rhinitis children from healthy controls. A majority of these probes was under the control of Th2 cytokines, as evidenced by parallel experiments performed on primary cultures of nasal epithelial cells. In uncontrolled asthmatic patients, we observed not only an enhanced expression of these Th2-responsive transcripts, but also a down-regulation of interferon-responsive genes.

Conclusion: Our study identifies a Th2 driven epithelial phenotype common to all dust mite allergic children. Besides, it suggests that epithelium is involved in the severity of the disease. Expression profiles observed in uncontrolled asthmatic patients suggest that severity of asthma is linked at the same time to atopy and to impaired viral response.

Nasal epithelium gene expression profiling of dust mite allergic children with isolated rhinitis, rhinitis associated with asthma and controls.
 
Overall design 38 samples classified in 4 categories : 14 isolated rhinitis (R), 6 rhinitis with uncontrolled asthma (UA), 7 rhinitis with controlled asthma (CA) and 11 healthy subjects (C )
 
Contributor(s) Giovannini-Chami L, Moreilhon C, Le Brigand K, Barbry P
Citation(s) 22005912
Submission date Nov 25, 2009
Last update date Jul 26, 2018
Contact name Kevin Lebrigand
Organization name IPMC/CNRS
Lab Functional Genomics Platform of Nice-Sophia-Antipolis, France.
Street address 660 route des lucioles
City Valbonne - Sophia-Antipolis
ZIP/Postal code 06560
Country France
 
Platforms (1)
GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]
Samples (38)
GSM475618 Uncontrolled asthma UA1
GSM475619 Rhinitis R4
GSM475620 Controlled asthma CA1
This SubSeries is part of SuperSeries:
GSE19190 Distinct epithelial gene expression phenotypes in childhood respiratory allergy
Relations
BioProject PRJNA123743

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE19187_RAW.tar 157.1 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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