Literature DB >> 22099342

Progress and promises in toxicogenomics in aquatic toxicology: is technical innovation driving scientific innovation?

Karl Fent1, John P Sumpter.   

Abstract

In the last decade, new technologies have been invented to analyze large amounts of information such as gene transcripts (transcriptomics), proteins (proteomics) and small cellular molecules (metabolomics). Many studies have been performed in the last few years applying these technologies to aquatic toxicology, mainly in fish. In this article, we summarize the current state of knowledge and question whether the application of modern technology for descriptive purposes truly represents scientific advancement in aquatic toxicology. We critically discuss the advantages and disadvantages of these technologies and emphasize the importance of these critical aspects. To date, these techniques have been used mainly as a proof of principle, demonstrating effects of model compounds. The potential to use these techniques to better analyze the mode-of-action of a toxicant or the effects of a compound within organisms has rarely been met. This is partly due to a lack of baseline data and the fact that the expression of mRNA and protein profiles is rarely linked to physiology or toxicologically meaningful outcomes. It seems premature to analyze mixtures or environmental samples until more is known about the expression profiles of individual toxicants. Gene transcription, protein, or metabolic data give only a partial view of these effects. Thus, we emphasize that data obtained by these technologies must be linked to physiological changes to fully understand their significance. The use of these techniques in aquatic toxicology is still in its infancy, data cannot yet be applied to environmental risk assessment or regulation until more emphasis is placed on interpreting the data within their physiological and toxicological contexts. 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22099342     DOI: 10.1016/j.aquatox.2011.06.008

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


  7 in total

Review 1.  DNA microarray-based gene expression profiling of estrogenic chemicals.

Authors:  Ryoiti Kiyama; Yun Zhu
Journal:  Cell Mol Life Sci       Date:  2014-01-08       Impact factor: 9.261

2.  Adverse outcome pathway development II: best practices.

Authors:  Daniel L Villeneuve; Doug Crump; Natàlia Garcia-Reyero; Markus Hecker; Thomas H Hutchinson; Carlie A LaLone; Brigitte Landesmann; Teresa Lettieri; Sharon Munn; Malgorzata Nepelska; Mary Ann Ottinger; Lucia Vergauwen; Maurice Whelan
Journal:  Toxicol Sci       Date:  2014-12       Impact factor: 4.849

3.  The read-across hypothesis and environmental risk assessment of pharmaceuticals.

Authors:  Mariann Rand-Weaver; Luigi Margiotta-Casaluci; Alpa Patel; Grace H Panter; Stewart F Owen; John P Sumpter
Journal:  Environ Sci Technol       Date:  2013-09-30       Impact factor: 9.028

4.  Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish.

Authors:  Luigi Margiotta-Casaluci; Stewart F Owen; Belinda Huerta; Sara Rodríguez-Mozaz; Subramanian Kugathas; Damià Barceló; Mariann Rand-Weaver; John P Sumpter
Journal:  Sci Rep       Date:  2016-02-26       Impact factor: 4.379

5.  Transcriptional and biochemical biomarker responses in a freshwater mussel (Anodonta anatina) under environmentally relevant Cu exposure.

Authors:  Gustaf Magnus Oskar Ekelund Ugge; Annie Jonsson; Björn Olsson; Robert Sjöback; Olof Berglund
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-13       Impact factor: 4.223

Review 6.  Trends in the Application of "Omics" to Ecotoxicology and Stress Ecology.

Authors:  Joshua Niklas Ebner
Journal:  Genes (Basel)       Date:  2021-09-23       Impact factor: 4.096

7.  Drivers of and Obstacles to the Adoption of Toxicogenomics for Chemical Risk Assessment: Insights from Social Science Perspectives.

Authors:  Guillaume Pain; Gordon Hickey; Matthieu Mondou; Doug Crump; Markus Hecker; Niladri Basu; Steven Maguire
Journal:  Environ Health Perspect       Date:  2020-10-28       Impact factor: 9.031

  7 in total

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