Literature DB >> 16872691

Hepatic gene expression profiling using Genechips in zebrafish exposed to 17alpha-ethynylestradiol.

J L Hoffmann1, S P Torontali, R G Thomason, D M Lee, J L Brill, B B Price, G J Carr, D J Versteeg.   

Abstract

Genomic, proteomic, and metabolomic technologies continue to receive increasing interest from environmental toxicologists. This interest is due to the great potential of these technologies to identify detailed modes of action and to provide assistance in the evaluation of a contaminant's risk to aquatic organisms. Our experimental model is the zebrafish (Danio rerio) exposed to reference endocrine disrupting compounds in order to investigate compound-induced changes in gene transcript profiles. Adult, female zebrafish were exposed to 0, 15, 40, and 100ng/L of 17alpha-ethynylestradiol (EE2) and concentration and time-dependent changes in hepatic gene expression were examined using Affymetrix GeneChip Zebrafish Genome Microarrays. At 24, 48, and 168h, fish were sacrificed and liver mRNA was extracted for gene expression analysis (24 and 168h only). In an effort to link gene expression changes to effects on higher levels of biological organization, body and ovary weights were measured and blood was collected for measurement of plasma steroid hormones (17beta-estradiol (E2), testosterone (T)) and vitellogenin (VTG) using ELISA. EE2 exposure significantly affected gene expression, GSI, E2, T, and VTG. We observed 1622 genes that were significantly affected (p< or =0.001) in a concentration-dependent manner by EE2 exposure at either 24 or 168h. Gene ontology (GO) analysis revealed that EE2 exposure affected genes involved in hormone metabolism, vitamin A metabolism, steroid binding, sterol metabolism, and cell growth. Plasma VTG was significantly increased at 24, 48, and 168h (p< or =0.05) at 40 and 100ng/L and at 15ng/L at 168h. E2 and T were significantly reduced following EE2 exposure at 48 and 168h. GSI was decreased in a concentration-dependent manner at 168h. In this study, we identified genes involved in a variety of biological processes that have the potential to be used as markers of exposure to estrogenic substances. Future work will evaluate the use of these genes in zebrafish exposed to weak estrogens to determine if these genes are indicative of exposure to estrogens with varying potencies.

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Year:  2006        PMID: 16872691     DOI: 10.1016/j.aquatox.2006.06.009

Source DB:  PubMed          Journal:  Aquat Toxicol        ISSN: 0166-445X            Impact factor:   4.964


  16 in total

1.  How consistent are we? Interlaboratory comparison study in fathead minnows using the model estrogen 17α-ethinylestradiol to develop recommendations for environmental transcriptomics.

Authors:  April Feswick; Meghan Isaacs; Adam Biales; Robert W Flick; David C Bencic; Rong-Lin Wang; Chris Vulpe; Marianna Brown-Augustine; Alex Loguinov; Francesco Falciani; Philipp Antczak; John Herbert; Lorraine Brown; Nancy D Denslow; Kevin J Kroll; Candice Lavelle; Viet Dang; Lynn Escalon; Natàlia Garcia-Reyero; Christopher J Martyniuk; Kelly R Munkittrick
Journal:  Environ Toxicol Chem       Date:  2017-04-19       Impact factor: 3.742

2.  Sexual dimorphism in hepatic gene expression and the response to dietary carbohydrate manipulation in the zebrafish (Danio rerio).

Authors:  Barrie D Robison; Robert E Drew; Gordon K Murdoch; Madison Powell; Kenneth J Rodnick; Matt Settles; David Stone; Erin Churchill; Rodney A Hill; Madhusudhan R Papasani; Solange S Lewis; Ronald W Hardy
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2008-02-14       Impact factor: 2.674

3.  Environmentally relevant exposure to 17alpha-ethinylestradiol affects the telencephalic proteome of male fathead minnows.

Authors:  Christopher J Martyniuk; Kevin J Kroll; Nicholas J Doperalski; David S Barber; Nancy D Denslow
Journal:  Aquat Toxicol       Date:  2010-03-16       Impact factor: 4.964

4.  Construction of a robust microarray from a non-model species (largemouth bass) using pyrosequencing technology.

Authors:  Natàlia Garcia-Reyero; Robert J Griffitt; Li Liu; Kevin J Kroll; William G Farmerie; David S Barber; Nancy D Denslow
Journal:  J Fish Biol       Date:  2008-06-28       Impact factor: 2.051

5.  Dietary exposure of 17-alpha ethinylestradiol modulates physiological endpoints and gene signaling pathways in female largemouth bass (Micropterus salmoides).

Authors:  Reyna-Cristina Colli-Dula; Christopher J Martyniuk; Kevin J Kroll; Melinda S Prucha; Marianne Kozuch; David S Barber; Nancy D Denslow
Journal:  Aquat Toxicol       Date:  2014-08-27       Impact factor: 4.964

6.  A computational model of the hypothalamic: pituitary: gonadal axis in female fathead minnows (Pimephales promelas) exposed to 17α-ethynylestradiol and 17β-trenbolone.

Authors:  Zhenhong Li; Kevin J Kroll; Kathleen M Jensen; Daniel L Villeneuve; Gerald T Ankley; Jayne V Brian; María S Sepúlveda; Edward F Orlando; James M Lazorchak; Mitchell Kostich; Brandon Armstrong; Nancy D Denslow; Karen H Watanabe
Journal:  BMC Syst Biol       Date:  2011-05-05

7.  Existence of inverted profile in chemically responsive molecular pathways in the zebrafish liver.

Authors:  Choong Yong Ung; Siew Hong Lam; Xun Zhang; Hu Li; Jing Ma; Louxin Zhang; Baowen Li; Zhiyuan Gong
Journal:  PLoS One       Date:  2011-11-29       Impact factor: 3.240

8.  Revealing genes associated with vitellogenesis in the liver of the zebrafish (Danio rerio) by transcriptome profiling.

Authors:  Liraz Levi; Irena Pekarski; Ellen Gutman; Paolo Fortina; Terry Hyslop; Jakob Biran; Berta Levavi-Sivan; Esther Lubzens
Journal:  BMC Genomics       Date:  2009-03-31       Impact factor: 3.969

9.  Appropriate 'housekeeping' genes for use in expression profiling the effects of environmental estrogens in fish.

Authors:  Amy L Filby; Charles R Tyler
Journal:  BMC Mol Biol       Date:  2007-02-08       Impact factor: 2.946

10.  Sensitive and robust gene expression changes in fish exposed to estrogen--a microarray approach.

Authors:  Lina Gunnarsson; Erik Kristiansson; Lars Förlin; Olle Nerman; D G Joakim Larsson
Journal:  BMC Genomics       Date:  2007-06-07       Impact factor: 3.969

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