PUBLICATION
Gene expression profiling in zebrafish embryos exposed to diclofenac, an environmental toxicant
- Authors
- De Felice, B., Copia, L., and Guida, M.
- ID
- ZDB-PUB-110613-11
- Date
- 2012
- Source
- Molecular biology reports 39(3): 2119-2128 (Journal)
- Registered Authors
- Keywords
- gene expression, zebrafish, diclofenac, pollution
- MeSH Terms
-
- Analysis of Variance
- Animals
- Base Sequence
- Cloning, Molecular
- Computational Biology
- Diclofenac/toxicity*
- Embryo, Nonmammalian/metabolism*
- Gene Expression Profiling
- Gene Expression Regulation/drug effects*
- Molecular Sequence Data
- Oligonucleotide Array Sequence Analysis
- Real-Time Polymerase Chain Reaction
- Reverse Transcriptase Polymerase Chain Reaction
- Sequence Analysis, DNA
- Water Pollutants, Chemical/toxicity*
- Zebrafish/genetics
- Zebrafish/metabolism*
- PubMed
- 21643954 Full text @ Mol. Biol. Rep.
Citation
De Felice, B., Copia, L., and Guida, M. (2012) Gene expression profiling in zebrafish embryos exposed to diclofenac, an environmental toxicant. Molecular biology reports. 39(3):2119-2128.
Abstract
Pharmaceuticals are continually released in the environment and therefore pollution from drugs is a pressing problem in the environment. Diclofenac, 2-[(2,6-dichlorophenyl)amino]phenylacetic acid is a FDA approved non-steroidal anti-inflammatory drug (NSAID) for the treatment of inflammation. This pharmaceutical has been found as pollutant in superficial waters. Danio rerio (zebrafish) embryo has been used as a model organism for acute pollutant toxicity tests in order to identify morphological alterations in development and death rate. Through the combination of mRNA differential display and quantitative Real Time experiments, we analyzed the alterations of gene expression in zebrafish embryos left to develop in the presence of diclofenac and thereby assess the molecular mechanism involved in ecotoxicity of diclofenac polluted waters. This approach, in embryos exposed to 1.25 mg/l drug for 48 h, allowed identifying 36 different genes, with both known and unknown functions, whose transcription is differentially regulated. The identity and ontological classification of these genes is presented. The wide variety of functional classes of transcripts isolated in this screen reflects the diverse spectrum of influences operating across diclofenac exposure. Of these 36 genes, several have been selected for detailed quantitative Real Time analysis to validate the screen. Our results, for the first time, provide an insight into some of the varied and novel molecular networks following zebrafish exposure to diclofenac polluted waters.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping