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• W1963707987 abstract "Identifying specific effects of contaminants in a multi-stress field context remain a challenge in ecotoxicology. In this context, “omics” technologies, by allowing the simultaneous measurement of numerous biological endpoints, could help unravel the in situ toxicity of contaminants. In this study, wild Atlantic eels were sampled in 8 sites presenting a broad contamination gradient in France and Canada. The global hepatic transcriptome of animals was determined by RNA-Seq. In parallel, the contamination level of fish to 8 metals and 25 organic pollutants was determined. Factor analysis for multiple testing was used to identify genes that are most likely to be related to a single factor. Among the variables analyzed, arsenic (As), cadmium (Cd), lindane (γ-HCH) and the hepato-somatic index (HSI) were found to be the main factors affecting eel’s transcriptome. Genes associated with As exposure were involved in the mechanisms that have been described during As vasculotoxicity in mammals. Genes correlated with Cd were involved in cell cycle and energy metabolism. For γ-HCH, genes were involved in lipolysis and cell growth. Genes associated with HSI were involved in protein, lipid and iron metabolisms. Our study proposes specific gene signatures of pollutants and their impacts in fish exposed to multi-stress conditions." @default.
• W1963707987 created "2016-06-24" @default.
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• W1963707987 date "2014-09-26" @default.
• W1963707987 modified "2023-10-12" @default.
• W1963707987 title "Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels" @default.
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• W1963707987 doi "https://doi.org/10.1007/s10646-014-1356-x" @default.
• W1963707987 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25258179" @default.
• W1963707987 hasPublicationYear "2014" @default.
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