Cargando…
Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays
BACKGROUND: Traditionally, toxicity of river sediments is assessed using whole sediment tests with benthic organisms. The challenge, however, is the differentiation between multiple effects caused by complex contaminant mixtures and the unspecific toxicity endpoints such as survival, growth or repro...
Autores principales: | , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674462/ https://www.ncbi.nlm.nih.gov/pubmed/19366437 http://dx.doi.org/10.1186/1471-2164-10-160 |
_version_ | 1782166642557452288 |
---|---|
author | Menzel, Ralph Swain, Suresh C Hoess, Sebastian Claus, Evelyn Menzel, Stefanie Steinberg, Christian EW Reifferscheid, Georg Stürzenbaum, Stephen R |
author_facet | Menzel, Ralph Swain, Suresh C Hoess, Sebastian Claus, Evelyn Menzel, Stefanie Steinberg, Christian EW Reifferscheid, Georg Stürzenbaum, Stephen R |
author_sort | Menzel, Ralph |
collection | PubMed |
description | BACKGROUND: Traditionally, toxicity of river sediments is assessed using whole sediment tests with benthic organisms. The challenge, however, is the differentiation between multiple effects caused by complex contaminant mixtures and the unspecific toxicity endpoints such as survival, growth or reproduction. The use of gene expression profiling facilitates the identification of transcriptional changes at the molecular level that are specific to the bio-available fraction of pollutants. RESULTS: In this pilot study, we exposed the nematode Caenorhabditis elegans to three sediments of German rivers with varying (low, medium and high) levels of heavy metal and organic contamination. Beside chemical analysis, three standard bioassays were performed: reproduction of C. elegans, genotoxicity (Comet assay) and endocrine disruption (YES test). Gene expression was profiled using a whole genome DNA-microarray approach to identify overrepresented functional gene categories and derived cellular processes. Disaccharide and glycogen metabolism were found to be affected, whereas further functional pathways, such as oxidative phosphorylation, ribosome biogenesis, metabolism of xenobiotics, aging and several developmental processes were found to be differentially regulated only in response to the most contaminated sediment. CONCLUSION: This study demonstrates how ecotoxicogenomics can identify transcriptional responses in complex mixture scenarios to distinguish different samples of river sediments. |
format | Text |
id | pubmed-2674462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26744622009-04-29 Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays Menzel, Ralph Swain, Suresh C Hoess, Sebastian Claus, Evelyn Menzel, Stefanie Steinberg, Christian EW Reifferscheid, Georg Stürzenbaum, Stephen R BMC Genomics Methodology Article BACKGROUND: Traditionally, toxicity of river sediments is assessed using whole sediment tests with benthic organisms. The challenge, however, is the differentiation between multiple effects caused by complex contaminant mixtures and the unspecific toxicity endpoints such as survival, growth or reproduction. The use of gene expression profiling facilitates the identification of transcriptional changes at the molecular level that are specific to the bio-available fraction of pollutants. RESULTS: In this pilot study, we exposed the nematode Caenorhabditis elegans to three sediments of German rivers with varying (low, medium and high) levels of heavy metal and organic contamination. Beside chemical analysis, three standard bioassays were performed: reproduction of C. elegans, genotoxicity (Comet assay) and endocrine disruption (YES test). Gene expression was profiled using a whole genome DNA-microarray approach to identify overrepresented functional gene categories and derived cellular processes. Disaccharide and glycogen metabolism were found to be affected, whereas further functional pathways, such as oxidative phosphorylation, ribosome biogenesis, metabolism of xenobiotics, aging and several developmental processes were found to be differentially regulated only in response to the most contaminated sediment. CONCLUSION: This study demonstrates how ecotoxicogenomics can identify transcriptional responses in complex mixture scenarios to distinguish different samples of river sediments. BioMed Central 2009-04-14 /pmc/articles/PMC2674462/ /pubmed/19366437 http://dx.doi.org/10.1186/1471-2164-10-160 Text en Copyright © 2009 Menzel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Menzel, Ralph Swain, Suresh C Hoess, Sebastian Claus, Evelyn Menzel, Stefanie Steinberg, Christian EW Reifferscheid, Georg Stürzenbaum, Stephen R Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays |
title | Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays |
title_full | Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays |
title_fullStr | Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays |
title_full_unstemmed | Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays |
title_short | Gene expression profiling to characterize sediment toxicity – a pilot study using Caenorhabditis elegans whole genome microarrays |
title_sort | gene expression profiling to characterize sediment toxicity – a pilot study using caenorhabditis elegans whole genome microarrays |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674462/ https://www.ncbi.nlm.nih.gov/pubmed/19366437 http://dx.doi.org/10.1186/1471-2164-10-160 |
work_keys_str_mv | AT menzelralph geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT swainsureshc geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT hoesssebastian geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT clausevelyn geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT menzelstefanie geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT steinbergchristianew geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT reifferscheidgeorg geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays AT sturzenbaumstephenr geneexpressionprofilingtocharacterizesedimenttoxicityapilotstudyusingcaenorhabditiseleganswholegenomemicroarrays |