ArticleEnvironmental science and pollution research international2015
Challenges for using quantitative PCR test batteries as a TIE-type approach to identify metal exposure in benthic invertebrates.
Article in Environmental science and pollution research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Transcriptional changes measured in rice roots after exposure to arsenite-contaminated sediments.Environmental science and pollution research international · 2018Article
- Molecular and cellular effects of contamination in aquatic ecosystems.Environmental science and pollution research international · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The epibenthic amphipod Melita plumulosa shows unique gene expression profiles when exposed to different contaminants. We hypothesized that specific changes in transcript abundance could be used in a battery of quantitative polymerase chain reaction (qPCR) assays as a toxicity identification evaluation (TIE)-like approach to identify the most relevant stressor in field-contaminated sediments. To test this hypothesis, seven candidate transcriptomic markers were selected, and their specificity following metal exposure was confirmed. The performance of these markers across different levels of added metals was verified. The ability of these transcripts to act as markers was tested by exposing amphipods to metal-contaminated field-collected sediments and measuring changes in transcript abundance via qPCR. For two of the three sediments tested, at least some of the transcriptomic patterns matched our predictions, suggesting that they would be effective in helping to identify metal exposure in field sediments. However, following exposure to the third sediment, transcriptomic patterns were unlike our predictions. These results suggest that the seven transcripts may be insufficient to discern individual contaminants from complex mixtures and that microarray or RNA-Seq global gene expression profiles may be more effective for TIE. Changes in transcriptomics based on laboratory exposures to single compounds should be carefully validated before the results are used to analyze mixtures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.