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Proteomics-Based Method for Risk Assessment of Peroxisome Proliferating Pollutants in the Marine Environment

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Environmental Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 410))

Summary

Pollution in aquatic environment is of increasing concern for its impact on both human and natural populations. Applying proteomics to monitor marine pollution is a new approach to evaluate the effects of environmental pollutants on the biota. Aquatic organisms living in coastal and estuarine areas are particularly prone to exposures to a variety of pollutants, some of which can act as peroxisome proliferators. However, peroxisomal responses in particular and biomarker responses in general can be influenced by several biotic and abiotic factors. Utilizing proteomics-based techniques that permit the evaluation of hundreds to thousands of proteins in a single experiment can circumvent those drawbacks. Applying this method, the peroxisomal proteome from digestive glands of mussels Mytilus sp. can be analyzed by two-dimensional electrophoresis (2-DE) and the 2-DE maps from control samples and samples obtained in a polluted area can be compared. The up- and down-regulated proteins compose the protein expression signature (PES) associated with exposure to peroxisome proliferating pollutants. This method generates highly reproducible patterns that can be applied to laboratory or field experiments.

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Acknowledgments

This work was partially supported by grants from the Swedish Research Council and Carl Trygger foundation, Magnus Bergvalls foundation. I thank Prof. Miren Cajaraville and her research group for the collaboration.

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© 2008 Humana Press

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Cristobal, S. (2008). Proteomics-Based Method for Risk Assessment of Peroxisome Proliferating Pollutants in the Marine Environment. In: Martin, C.C., Martin, C.C. (eds) Environmental Genomics. Methods in Molecular Biology, vol 410. Humana Press. https://doi.org/10.1007/978-1-59745-548-0_8

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  • DOI: https://doi.org/10.1007/978-1-59745-548-0_8

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-777-8

  • Online ISBN: 978-1-59745-548-0

  • eBook Packages: Springer Protocols

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