Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression in CF-vs-non CF human airway epithelial cell samples obtained by nasal brushing.

ABSTRACT: A small-scale whole genome microarray study of gene expression in human native nasal epithelial cells from F508del-CFTR homozygous CF patients and non-CF controls. We used the custom designed Affymetrix HsAirwaya520108F Arrays to compare gene expression in 5 CF and 5 non CF nasal epithelial cell samples. We analysed a total of 10 samples (5 CF and 5 non CF). The CF group contained 2 males and 3 females, with an average age of 14 years and an average of 6% inflammatory cells per sample, and the non CF group contained 3 males and 2 females with an average age of 14.8 years and an average of 4.7% inflammatory cells.

ORGANISM(S): Homo sapiens

SUBMITTER: Luka Clarke

PROVIDER: E-GEOD-40445 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Changes in transcriptome of native nasal epithelium expressing F508del-CFTR and intersecting data from comparable studies.

Clarke Luka A LA Sousa Lisete L Barreto Celeste C Amaral Margarida D MD

Respiratory research 20130328

<h4>Background</h4>Microarray studies related to cystic fibrosis (CF) airway gene expression have gone some way in clarifying the complex molecular background of CF lung diseases, but have made little progress in defining a robust "molecular signature" associated with mutant CFTR expression. Disparate methodological and statistical analyses complicate comparisons between independent studies of the CF transcriptome, and although each study may be valid in isolation, the conclusions reached differ ...[more]

PMID: 23537407

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Project description:Bacillus thuringiensis, a well-known and effective bio-insecticide, has attracted considerable attention as a potential biological control agent for the suppression of plant diseases. Treatment of tomato roots with a filter-sterilized cell-free filtrate (CF) of B. thuringiensis systemically suppresses bacterial wilt caused by Ralstonia solanacearum through systemic activation of the plant defense system. Comparative analysis of the expression of the Pathogenesis-Related 1(P6) [PR-1(P6)] gene, a marker for induced resistance to pathogens, in various tissues of tomato plants treated with CF on their roots suggested that the B. thuringiensis-induced defense system was activated in the leaf, stem, and main root tissues, but not in the lateral root tissue. At the same time, the growth of R. solanacearum was significantly suppressed in the CF-treated main root tissue but not in the CF-treated lateral root tissue. This distinct activation of the defense reaction and suppression of R. solanacearum were reflected by the differences in the transcriptional profiles of the main and lateral tissues in response to the CF. In the CF-treated main root tissue, but not CF-treated lateral root tissue, the expression of several salicylic acid (SA)-responsive defense-related genes was specifically induced, whereas jasmonic acid (JA)-related gene expression was either down-regulated or not induced in response to the CF. On the other hand, genes encoding ethylene (ET)-related proteins were induced equally in both the main and lateral root tissues. Taken together, the co-activation of SA-dependent signaling pathway with ET-dependent signaling pathway and suppression of JA-dependent signaling pathway may play key roles in B. thuringiensis-induced resistance to R. solanacearum in tomato plants. Gene expression was measured in main and lateral root tissues of tomato treated with Bacillus thuringiensis or distilled water-treated control at 48 hours after treatment. Two independent experiments were performed at each tissue (main root or lateral root tissue) for each treatment (Bacillus thuringiensis or distilled water control).

Dataset Information

Gene expression in CF-vs-non CF human airway epithelial cell samples obtained by nasal brushing.

Publications

Changes in transcriptome of native nasal epithelium expressing F508del-CFTR and intersecting data from comparable studies.

Similar Datasets

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