Project description:The unsurpassed simplicity of the fruitflyâs airway epithelium, that is made of homogenous epithelial cells only, favours its use as a model to study general features and response characteristics of airway epithelia in general. All epithelial cells are able to launch an immune response as characterized by the expression of antimicrobial peptide genes. Infection induces a complex change in the expression profile of these epithelial cells. Outstanding are a priming of the immune system and the launch of a survival program, presumably to counteract infection induced apoptotic signals, which comprises the concurrent expression of known longevity genes such as dFoxo, and dThor. In regions of the airway epithelium with strong immune reactions, a complex remodelling of the airways can be observed, which is characterized by metaplasia and presumably also by hyperplasia of the affected epithelial cells. At the transcriptional level, this reorganization of the airway epithelium is mirrored by a recapitulation of genetic programs that are characteristic for early phases of airway development. Taken together, the response characteristics of the flyâs airway epithelium towards infections discloses features that are known from inflammatory diseases of the human lung, thus opening the opportunity to study fundamental aspects of these diseases in the fly. Keywords:infection, Erwinia c., third instar larva, airway epithelium, two-colour microarray Infection of the airway epithelium by the gram-negativ bacteria Erwinia carotovora. For the infection experiments third instar larvae of the GFP-reporter strain YW DD1 were used and only isolated when the whole epithelium of the airway epithelium showed GFP expression. Uninfected larvae were used as controls. In general, four replicates were performed including dye-swaps. A table of significantly-regulated genes from the SAM-output and GeneTraffic-output has been linked as a supplementary file at the foot of this record.

Project description:Responses of the Human Airway Epithelium Transcriptome to In Vivo Injury; To identify genes participating in repair of the human airway epithelium following injury, we used bronchoscopy and brushing to denude the airway epithelium of healthy individuals, sequentially sampled the same region 7 and 14 days later, and assessed the recovered epithelium for relative levels of gene expression using Affymetrix high-density oligonucleotide microarrays with TaqMan PCR confirmation. Histologic assessment showed that the epithelium was denuded immediately following injury, at 7 days the epithelium was completely covered but partially de-differentiated, and by 14 days there was close to normal proportions of differentiated cells. Gene expression analysis was carried out with both the Affymetrix Microarray Suite 5.0 and Robust Multi-array Average algorithms, applying a multiple test correction to identify bona fide changes in gene expression. At day 7, there were substantial differences in the gene expression pattern compared to the resting epithelium, with a distinctive airway epithelial â??repair transcriptomeâ?? of actively proliferating cells in the process of re-differentiation. The repair transcriptome at 7 days was dominated by genes encoding proteins involved in cell cycle regulation, transcription, signal transduction, metabolism and transport. Interestingly, the majority of cell cycle genes differentially expressed at day 7 belonged to the G2 and M late phases of the cell cycle, suggesting that the proliferating cells are relatively synchronized 1 wk following injury. At 14 days post-injury, the majority of the gene expression changes observed at day 7 were no longer observed, with the expression profile similar to that of resting airway epithelium. Using a class prediction algorithm, a group of 50 genes dominated by cell cycle genes, that represent a human airway epithelial â??repair signatureâ?? was identified. These observations provide a baseline of the functional gene categories participating in the process of normal human airway epithelial repair that can be used in future studies of injury and repair in human airway epithelial diseases. Experiment Overall Design: comparison of gene expression in airway epithelial cells of the large airways, before and after mechanical injury caused by airway brushing

Project description:Responses of the Human Airway Epithelium Transcriptome to In Vivo Injury To identify genes participating in repair of the human airway epithelium following injury, we used bronchoscopy and brushing to denude the airway epithelium of healthy individuals, sequentially sampled the same region 7 and 14 days later, and assessed the recovered epithelium for relative levels of gene expression using Affymetrix high-density oligonucleotide microarrays with TaqMan PCR confirmation. Histologic assessment showed that the epithelium was denuded immediately following injury, at 7 days the epithelium was completely covered but partially de-differentiated, and by 14 days there was close to normal proportions of differentiated cells. Gene expression analysis was carried out with both the Affymetrix Microarray Suite 5.0 and Robust Multi-array Average algorithms, applying a multiple test correction to identify bona fide changes in gene expression. At day 7, there were substantial differences in the gene expression pattern compared to the resting epithelium, with a distinctive airway epithelial “repair transcriptome” of actively proliferating cells in the process of re-differentiation. The repair transcriptome at 7 days was dominated by genes encoding proteins involved in cell cycle regulation, transcription, signal transduction, metabolism and transport. Interestingly, the majority of cell cycle genes differentially expressed at day 7 belonged to the G2 and M late phases of the cell cycle, suggesting that the proliferating cells are relatively synchronized 1 wk following injury. At 14 days post-injury, the majority of the gene expression changes observed at day 7 were no longer observed, with the expression profile similar to that of resting airway epithelium. Using a class prediction algorithm, a group of 50 genes dominated by cell cycle genes, that represent a human airway epithelial “repair signature” was identified. These observations provide a baseline of the functional gene categories participating in the process of normal human airway epithelial repair that can be used in future studies of injury and repair in human airway epithelial diseases. Keywords: response to airway injury

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Gene expression data of human airway epithelium following human parechoviruses infection

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