Transcriptomics,Multiomics

Dataset Information

29

Transcription profiling by array of Drosophila fed methamphetamine


ABSTRACT: Methamphetamine can trigger dopamine releasing in human brain, now used as abuse drug. Some studies have shown that specific genes and proteins responded to, methamphetamine, but little is known about the overall omic response of organisms to this illicit substance. Here we demonstrate that Drosophila melanogaster has the potential to give us significant insights into evolutionarily conserved responses to methamphetamine. We performed metabolome, proteome, and transciptome profiling with Drosophila treated with methamphetamine. The proteomic profiling revealed responses associated with known physiological problems that occur with methamphetamine usage in mammals. The metabolomic result showed that the metabolite trehalose was decreased significantly after methamphetamine exposure, suggesting an oxidative stress response to this drug. Many of the differential transcribed genes, including detoxification enzymes, had the potential transcription factor-binding motif YY1 associated with their upstream regulatory regions. YY1 is known to be responsive to amphetamines in mammals. For each sample, 20 virgin male flies were used to extract the mRNA. Three replicates were produced for each treatments. Two treatments were produced (control VS 0.6% 24 h meth-fed).

REANALYSED by: E-GEOD-16198

ORGANISM(S): Drosophila melanogaster  

SUBMITTER: Venu Margam  Lijie Sun   Hongmei LI   Hongmei Li   Barry Pittendrigh   Weilin Sun    

PROVIDER: E-GEOD-16198 | ArrayExpress| 2015-09-03

SECONDARY ACCESSION(S): GSE16198PRJNA117135

REPOSITORIES: GEO, ArrayExpress

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Publications


BACKGROUND: Methamphetamine (METH), an abused illicit drug, disrupts many cellular processes, including energy metabolism, spermatogenesis, and maintenance of oxidative status. However, many components of the molecular underpinnings of METH toxicity have yet to be established. Network analyses of integrated proteomic, transcriptomic and metabolomic data are particularly well suited for identifying cellular responses to toxins, such as METH, which might otherwise be obscured by the numerous and d  ...[more]

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