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Comparison of Transcriptomic and Proteomic Expression Patterns in Fathead Minnows Exposed to Trenbolone and Flutamide
Citation:
DENSLOW, N., C. MARTYNIIUK, N. GARCIA-REYERO, K. J. KROLL, M. S. SEPULVEDA, K. H. WATANABE, E. F. ORLANDO, D. L. VILLENEUVE, AND G. T. ANKLEY. Comparison of Transcriptomic and Proteomic Expression Patterns in Fathead Minnows Exposed to Trenbolone and Flutamide . Presented at SETAC Annual Meeting, Tampa, FL, November 16 - 20, 2008.
Impact/Purpose:
A comparison of the two omics techniques shows that for some genes changes in transcript level are in the same direction as changes observed at the protein level. For other genes protein changes do not correspond to transcript changes, suggesting additional control at the level of translation. These complementary analyses are being developed to identify environmental biomarkers that act through AR signaling.
Description:
Androgen signaling in the liver of fathead minnows (Pimephales promelas) was examined both at the transcriptome level and the proteome level. We exposed female fathead minnows for 48 hr to a prototypical androgen (17b-trenbolone, 5 ug/L), to an antiandrogen (flutamide, 500 ug/L) and to a combination of 17b-trenbolone and flutamide to determine changes in gene and protein expression elicited by the chemicals. Microarray analysis was performed with a fathead minnow specific oligonucleotide microarray and proteomics experiments were performed by LC MS/MS using iTRAQ as a quantitative labeling method. Both the microarray and proteomics experiments indicate that some genes are reciprocally regulated by the androgen and antiandrogen, suggesting regulation through androgen receptors. Other genes appear to be regulated distinctly by the two compounds. Pathway analysis suggests that many different cellular processes are regulated at the transcript level including mRNA splicing, cell adhesion, DNA replication, immune response to pathogens, apoptosis, reproduction, angiogenesis, signal transduction and energy production. Pathways regulated at the protein level include cell secretion, protein translation, catabolism and tissue differentiation. A comparison of the two omics techniques shows that for some genes changes in transcript level are in the same direction as changes observed at the protein level. For other genes protein changes do not correspond to transcript changes, suggesting additional control at the level of translation. These complimentary analyses are being developed to identify environmental biomarkers that act through AR signaling.