Evalutation of the effect of ethanol upon gene expression in adult Drosophila melanogaster
Ontology highlight
ABSTRACT:
ORGANISM(S): Drosophila melanogaster
PROVIDER: GSE3033 | GEO | 2006/03/31
SECONDARY ACCESSION(S): PRJNA93041
REPOSITORIES: GEO
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Project description:Increased ethanol intake, a major predictor for the development of alcohol use disorders, is facilitated by the development of tolerance to both the aversive and pleasurable effects of the drug. The molecular mechanisms underlying ethanol tolerance development are complex and are not yet well understood. To identify genetic mechanisms that contribute to ethanol tolerance, we examined the time course of gene expression changes elicited by a single sedating dose of ethanol in Drosophila.
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Project description:The nematode shows responses to acute ethanol exposure that are similar to those observed in humans, mice, and Drosophila, namely hyperactivity followed by uncoordination and sedation. We used in this report the nematode Caenorhabditis elegans as a model system to identify and characterize the genes that are affected by ethanol exposure and to link those genes functionally into an ethanol-induced gene network. By analyzing the expression profiles of all C. elegans ORFs using microarrays, we identified 230 genes affected by ethanol. While the ethanol response of some of the identified genes was significant at early time points, that of the majority was at late time points, indicating that the genes in the latter case might represent the physiological consequence of the ethanol exposure. We further characterized the early response genes that may represent those involved directly in the ethanol response. These genes included many heat shock protein genes, indicating that high concentration of ethanol acts as a strong stress to the animal. Interestingly, we identified two non-heat-shock protein genes that were specifically responsive to ethanol. glr-2 was the only glutamate receptor gene to be induced by ethanol. T28C12.4, which encodes a protein with limited homology to human neuroligin, was also specific to ethanol stress. Finally, by analyzing the promoter regions of the early response genes, we identified a regulatory element, TCTGCGTCTCT, that was necessary for the expression of subsets of ethanol response genes. Groups of assays that are related as part of a time series. Keywords: time_series_design
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Project description:Drosophila melanogaster is a validated eukaryotic model for immunity-concerned studies in the post-genomic era. In the present study we performed oral experimental infection of D. melanogaster with Pseudomonas aeruginosa (strain ATCC27853). By using a whole genome microarray approach, we intended to identify significant alterations in the expression profile of relevant genes amenable to qualify as new models for the investigation of specific host-parasite interactions.
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Project description:To better understand the molecular mechanisms underlying ethanol action we have developed an assay system to study sensitivity and fast and chronic tolerance to the sedative effects of ethanol. Flies developed fast ethanol tolerance after single exposure to 50% of ethanol vapor for 40 min. Flies can also develope chronic ethanol tolerance after 5x 40 min exposure to 50% ethanol vapor interspersed with 4x 80 min exposure to 10% ethanol vapor. We used microarray analysis to identify genes involved in the development of fast and chronic ethanol tolerance in Drosophila. More than 600 hundred genes were found to have changed their expression level in response to different ethanol treatment. Among these genes, Homer was picked for further study and is demonstrated that its expression in ellipsoid body is critical for the normal sensitivity and fast toleance to ethanol. Keywords: time course Whole heads of 3 groups of Drosophila were separated for RNA extraction and hybridization on Affymetrix microarrays. These 3 groups of flies were treated with different ethanol treatment. Naive group of flies (GSM101531, GSM101532, GSM101533, GSM101534, GSM101535, GSM101536) received only 50 min of humidified air. Fast group of flies (GSM101537, GSM101538, GSM101539, GSM101540, GSM101541, GSM101542) received humidified air for 50 min followed by a single exposure of 50% ethanol vapor for 40 min. Chronic group of flies (GSM101543, GSM101544, GSM101545, GSM101546, GSM101547, GSM101548) ) received humidified air for 50 min followed by 5 exposures of 50% ethanol vapor for 40 min.
2006-03-24 | E-GEOD-4531 | biostudies-arrayexpress
Project description:The nematode shows responses to acute ethanol exposure that are similar to those observed in humans, mice, and Drosophila, namely hyperactivity followed by uncoordination and sedation. We used in this report the nematode Caenorhabditis elegans as a model system to identify and characterize the genes that are affected by ethanol exposure and to link those genes functionally into an ethanol-induced gene network. By analyzing the expression profiles of all C. elegans ORFs using microarrays, we identified 230 genes affected by ethanol. While the ethanol response of some of the identified genes was significant at early time points, that of the majority was at late time points, indicating that the genes in the latter case might represent the physiological consequence of the ethanol exposure. We further characterized the early response genes that may represent those involved directly in the ethanol response. These genes included many heat shock protein genes, indicating that high concentration of ethanol acts as a strong stress to the animal. Interestingly, we identified two non-heat-shock protein genes that were specifically responsive to ethanol. glr-2 was the only glutamate receptor gene to be induced by ethanol. T28C12.4, which encodes a protein with limited homology to human neuroligin, was also specific to ethanol stress. Finally, by analyzing the promoter regions of the early response genes, we identified a regulatory element, TCTGCGTCTCT, that was necessary for the expression of subsets of ethanol response genes. Groups of assays that are related as part of a time series. Computed
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