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DNA microarray application in ecotoxicology: Experimental design, microarray scanning, and factors affecting transcriptional profiles in a small fish species
Author(s) -
Wang RongLin,
Biales Adam,
Bencic David,
Lattier David,
Kostich Mitch,
Villeneuve Dan,
Ankley Gerald T.,
Lazorchak Jim,
Toth Greg
Publication year - 2008
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1897/07-191.1
Subject(s) - microarray , biology , zebrafish , danio , microarray analysis techniques , gene chip analysis , dna microarray , transcriptome , gene expression profiling , ecotoxicology , gene expression , gene , genetics , computational biology , toxicology
Abstract The research presented here is part of a larger study of the molecular mode of action of endocrine‐disrupting chemicals targeting the hypothalamic–pituitary–gonadal axis in zebrafish ( Danio rerio ). It addresses several issues critical to microarray application in aquatic ecotoxicology: experimental design, microarray scanning, gene expression intensity distribution, and the effect of experimental parameters on the zebrafish transcriptome. Expression profiles from various tissues of individual zebrafish exposed to 17α‐ethinylestradiol (30 ng/L), fadrozole (25 μg/L), or 17β‐trenbolone (3.0 μg/L) for 48 or 96 h were examined with the Agilent Oligo Microarray (G2518A). As a flexible and efficient alternative to the designs commonly used in microarray studies, an unbalanced incomplete block design was found to be well suited for this work, as evidenced by high data reproducibility, low microarray‐to‐microarray variability, and little gene‐specific dye bias. Random scanner noise had little effect on data reproducibility. A low‐level, slightly variable Cyanine 3 (Cy3) contaminant was revealed by hyperspectral imaging, suggesting fluorescence contamination as a potential contributor to the large variance associated with weakly expressed genes. Expression intensities of zebrafish genes were skewed toward the lower end of their distribution range, and more weakly expressed genes tended to have larger variances. Tissue type, followed in descending order by gender, chemical treatment, and exposure duration, had the greatest effect on the overall gene expression profiles, a finding potentially critical to experimental design optimization. Overall, congruence was excellent between quantitative polymerase chain reaction results and microarray profiles of 13 genes examined across a subset of 20 pairs of ovarian samples. These findings will help to improve applications of microarrays in future ecotoxicological studies.