Literature DB >> 28631833

Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs.

Aaron Jastrow1, Denise A Gordon2, Kasie M Auger3, Elizabeth C Punska3, Kathleen F Arcaro3, Kristen Keteles4, Dana Winkelman5, David Lattier2, Adam Biales2, James M Lazorchak2.   

Abstract

The egg yolk precursor protein vitellogenin is widely used as a biomarker of estrogen exposure in male fish. However, standardized methodology is lacking and little is known regarding the reproducibility of results among laboratories using different equipment, reagents, protocols, and data analysis programs. To address this data gap we tested the reproducibility across laboratories to evaluate vitellogenin gene (vtg) expression and assessed the value of using a freely available software data analysis program. Samples collected from studies of male fathead minnows (Pimephales promelas) exposed to 17α-ethinylestradiol (EE2) and minnows exposed to processed wastewater effluent were evaluated for vtg expression in 4 laboratories. Our results indicate reasonable consistency among laboratories if the free software for expression analysis LinRegPCR is used, with 3 of 4 laboratories detecting vtg in fish exposed to 5 ng/L EE2 (n = 5). All 4 laboratories detected significantly increased vtg levels in 15 male fish exposed to wastewater effluent compared with 15 male fish held in a control stream. Finally, we were able to determine that the source of high interlaboratory variability from complementary deoxyribonucleic acid (cDNA) to quantitative polymerase chain reaction (qPCR) analyses was the expression analysis software unique to each real-time qPCR machine. We successfully eliminated the interlaboratory variability by reanalyzing raw fluorescence data with independent freeware, which yielded cycle thresholds and polymerase chain reaction (PCR) efficiencies that calculated results independently of proprietary software. Our results suggest that laboratories engaged in monitoring programs should validate their PCR protocols and analyze their gene expression data following the guidelines established in the present study for all gene expression biomarkers. Environ Toxicol Chem 2017;36:3102-3107. Published 2017 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America. Published 2017 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

Entities:  

Keywords:  Bioassay; Estrogen; Fathead minnow; Interlaboratory variability; Real-time polymerase chain reaction; Wastewater

Mesh:

Substances:

Year:  2017        PMID: 28631833      PMCID: PMC5894818          DOI: 10.1002/etc.3885

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  32 in total

1.  The PCR plateau phase - towards an understanding of its limitations.

Authors:  P Kainz
Journal:  Biochim Biophys Acta       Date:  2000-11-15

2.  Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data.

Authors:  Christian Ramakers; Jan M Ruijter; Ronald H Lekanne Deprez; Antoon F M Moorman
Journal:  Neurosci Lett       Date:  2003-03-13       Impact factor: 3.046

3.  Wild intersex roach (Rutilus rutilus) have reduced fertility.

Authors:  Susan Jobling; S Coey; J G Whitmore; D E Kime; K J W Van Look; B G McAllister; N Beresford; A C Henshaw; G Brighty; C R Tyler; J P Sumpter
Journal:  Biol Reprod       Date:  2002-08       Impact factor: 4.285

Review 4.  Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment.

Authors:  Gerald T Ankley; Richard S Bennett; Russell J Erickson; Dale J Hoff; Michael W Hornung; Rodney D Johnson; David R Mount; John W Nichols; Christine L Russom; Patricia K Schmieder; Jose A Serrrano; Joseph E Tietge; Daniel L Villeneuve
Journal:  Environ Toxicol Chem       Date:  2010-03       Impact factor: 3.742

5.  Organic contaminants in sewage sludge (biosolids) and their significance for agricultural recycling.

Authors:  S R Smith
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-10-13       Impact factor: 4.226

6.  Parental effects of endocrine disrupting compounds in aquatic wildlife: Is there evidence of transgenerational inheritance?

Authors:  Adam R Schwindt
Journal:  Gen Comp Endocrinol       Date:  2015-01-30       Impact factor: 2.822

7.  Immunohistochemical analysis of the vitellogenin response in the liver of Atlantic salmon exposed to environmental oestrogens.

Authors: 
Journal:  Biomarkers       Date:  1999       Impact factor: 2.658

8.  Investigating compensation and recovery of fathead minnow (Pimephales promelas) exposed to 17alpha-ethynylestradiol with metabolite profiling.

Authors:  D R Ekman; Q Teng; D L Villeneuve; M D Kahl; K M Jensen; E J Durhan; G T Ankley; T W Collette
Journal:  Environ Sci Technol       Date:  2008-06-01       Impact factor: 9.028

9.  Collapse of a fish population after exposure to a synthetic estrogen.

Authors:  Karen A Kidd; Paul J Blanchfield; Kenneth H Mills; Vince P Palace; Robert E Evans; James M Lazorchak; Robert W Flick
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-21       Impact factor: 11.205

10.  Eggshell and egg yolk proteins in fish: hepatic proteins for the next generation: oogenetic, population, and evolutionary implications of endocrine disruption.

Authors:  Augustine Arukwe; Anders Goksøyr
Journal:  Comp Hepatol       Date:  2003-03-06
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  3 in total

Review 1.  Twenty years of transcriptomics, 17alpha-ethinylestradiol, and fish.

Authors:  Christopher J Martyniuk; April Feswick; Kelly R Munkittrick; David A Dreier; Nancy D Denslow
Journal:  Gen Comp Endocrinol       Date:  2019-11-13       Impact factor: 2.822

2.  Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA.

Authors:  Jenna E Cavallin; Jon Beihoffer; Brett R Blackwell; Alexander R Cole; Drew R Ekman; Rachel Hofer; Aaron Jastrow; Julie Kinsey; Kristen Keteles; Erin M Maloney; Jordan Parman; Dana L Winkelman; Daniel L Villeneuve
Journal:  Environ Pollut       Date:  2021-08-06       Impact factor: 9.988

3.  Effects-Based Monitoring of Bioactive Chemicals Discharged to the Colorado River before and after a Municipal Wastewater Treatment Plant Replacement.

Authors:  Jenna E Cavallin; William A Battaglin; Jon Beihoffer; Brett R Blackwell; Paul M Bradley; Alexander R Cole; Drew R Ekman; Rachel N Hofer; Julie Kinsey; Kristen Keteles; Rebecca Weissinger; Dana L Winkelman; Daniel L Villeneuve
Journal:  Environ Sci Technol       Date:  2020-12-29       Impact factor: 9.028

  3 in total

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