Evidence map›Paper›PMID 25258179›Full record

ArticleEcotoxicology (London, England)2015

Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels.

Lucie Baillon, Fabien Pierron, Raphaël Coudret, Eric Normendeau, Antoine Caron, Laurent Peluhet, Pierre Labadie, Hélène Budzinski, Gilles Durrieu, Jérôme Sarraco and 4 more

Open access · greenAbstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 3 countries.

Lucie BaillonUniv. Bordeaux, UMR EPOC CNRS 5805, 33400, Talence, France.
Fabien Pierron
Raphaël Coudret
Eric Normendeau
Antoine Caron
Laurent Peluhet
Pierre Labadie
Hélène Budzinski
Gilles Durrieu
Jérôme Sarraco
Pierre Elie
Patrice Couture
Magalie Baudrimont
Louis Bernatchez
Centre National de la Recherche Scientifique · FRBiolog (United States) · USInstitut National de la Recherche Scientifique · CAInstitut national de recherche en sciences et technologies du numérique · FRCEA CESTA · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying specific effects of contaminants in a multi-stress field context remain a challenge in ecotoxicology. In this context, "omics" technologies, by allowing the simultaneous measurement of numerous biological endpoints, could help unravel the in situ toxicity of contaminants. In this study, wild Atlantic eels were sampled in 8 sites presenting a broad contamination gradient in France and Canada. The global hepatic transcriptome of animals was determined by RNA-Seq. In parallel, the contamination level of fish to 8 metals and 25 organic pollutants was determined. Factor analysis for multiple testing was used to identify genes that are most likely to be related to a single factor. Among the variables analyzed, arsenic (As), cadmium (Cd), lindane (γ-HCH) and the hepato-somatic index (HSI) were found to be the main factors affecting eel's transcriptome. Genes associated with As exposure were involved in the mechanisms that have been described during As vasculotoxicity in mammals. Genes correlated with Cd were involved in cell cycle and energy metabolism. For γ-HCH, genes were involved in lipolysis and cell growth. Genes associated with HSI were involved in protein, lipid and iron metabolisms. Our study proposes specific gene signatures of pollutants and their impacts in fish exposed to multi-stress conditions.

Indexed as

TranscriptomeAnimalsArsenicAtlantic OceanCadmiumEelsEnvironmental MonitoringFranceGene Expression ProfilingHexachlorocyclohexaneKidneyQuebecWater Pollutants, ChemicalArsenicCadmiumHexachlorocyclohexaneWater Pollutants, Chemical

Identifiers

PMID25258179
OpenAlexW1963707987

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.