| Title |
Fishing for contaminants: identification of three mechanism specific transcriptome signatures using Danio rerio embryos
|
|---|---|
| Published in |
Environmental Science and Pollution Research, April 2017
|
| DOI | 10.1007/s11356-017-8977-6 |
| Pubmed ID | |
| Authors |
Jonas Hausen, Jens C. Otte, Jessica Legradi, Lixin Yang, Uwe Strähle, Martina Fenske, Markus Hecker, Song Tang, Monika Hammers-Wirtz, Henner Hollert, Steffen H. Keiter, Richard Ottermanns |
| Abstract |
In ecotoxicology, transcriptomics is an effective way to detect gene expression changes in response to environmental pollutants. Such changes can be used to identify contaminants or contaminant classes and can be applied as early warning signals for pollution. To do so, it is important to distinguish contaminant-specific transcriptomic changes from genetic alterations due to general stress. Here we present a first step in the identification of contaminant class-specific transcriptome signatures. Embryos of zebrafish (Danio rerio) were exposed to three substances (methylmercury, chlorpyrifos and Aroclor 1254, each from 24 to 48 hpf exposed) representing sediment typical contaminant classes. We analyzed the altered transcriptome to detect discriminative genes significantly regulated in reaction to the three applied contaminants. By comparison of the results of the three contaminants, we identified transcriptome signatures and biologically important pathways (using Cytoscape/ClueGO software) that react significantly to the contaminant classes. This approach increases the chance of finding genes that play an important role in contaminant class-specific pathways rather than more general processes. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 4 | 9% |
| Other | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 14 | 30% |
| Agricultural and Biological Sciences | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Medicine and Dentistry | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 18 | 38% |
Attention Score in Context
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#21,420,714
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#7,000
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Outputs of similar age from Environmental Science and Pollution Research
#134
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