Literature DB >> 22056798

DIGE and iTRAQ as biomarker discovery tools in aquatic toxicology.

Christopher J Martyniuk1, Sophie Alvarez, Nancy D Denslow.   

Abstract

Molecular approaches in ecotoxicology have greatly enhanced mechanistic understanding of the impact of aquatic pollutants in organisms. These methods have included high throughput Omics technologies, including quantitative proteomics methods such as 2D differential in-gel electrophoresis (DIGE) and isobaric tagging for relative and absolute quantitation (iTRAQ). These methods are becoming more widely used in ecotoxicology studies to identify and characterize protein bioindicators of adverse effect. In teleost fish, iTRAQ has been used successfully in different fish species (e.g. fathead minnow, goldfish, largemouth bass) and tissues (e.g. hypothalamus and liver) to quantify relative protein abundance. Of interest for ecotoxicology is that many proteins commonly utilized as bioindicators of toxicity or stress are quantifiable using iTRAQ on a larger scale, providing a global baseline of biological effect from which to assess changes in the proteome. This review highlights the successes to date for high throughput quantitative proteomics using DIGE and iTRAQ in aquatic toxicology. Current challenges for the iTRAQ method for biomarker discovery in fish are the high cost and the lack of complete annotated genomes for teleosts. However, the use of protein homology from teleost fishes in protein databases and the introduction of hybrid LTQ-FT (Linear ion trap-Fourier transform) mass spectrometers with high resolution, increased sensitivity, and high mass accuracy are able to improve significantly the protein identification rates. Despite these challenges, initial studies utilizing iTRAQ for ecotoxicoproteomics have exceeded expectations and it is anticipated that the use of non-gel based quantitative proteomics will increase for protein biomarker discovery and for characterization of chemical mode of action.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22056798      PMCID: PMC4238381          DOI: 10.1016/j.ecoenv.2011.09.020

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  56 in total

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2.  Technical, experimental, and biological variations in isobaric tags for relative and absolute quantitation (iTRAQ).

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Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

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7.  Quantitative proteomic profiles of androgen receptor signaling in the liver of fathead minnows (Pimephales promelas).

Authors:  Christopher J Martyniuk; Sophie Alvarez; Scott McClung; Daniel L Villeneuve; Gerald T Ankley; Nancy D Denslow
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Review 9.  Proteomic Applications in Aquatic Environment Studies.

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