Evidence map›Paper›PMID 22307397›Full record

ArticleEcotoxicology (London, England)2012

Transcriptional responses of cancer-related genes in turbot Scophthalmus maximus and mussels Mytilus edulis exposed to heavy fuel oil no. 6 and styrene.

Pamela Ruiz, Amaia Orbea, Jeanette M Rotchell, Miren P Cajaraville

Open access · greenAbstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

4 authors at 2 institutions in 2 countries.

Pamela RuizLaboratory of Cell Biology and Histology, Faculty of Science and Technology, University of the Basque Country UPV/EHU, Sarriena z/g, E-48940 Leioa, Basque Country, Spain.
Amaia Orbea
Jeanette M Rotchell
Miren P Cajaraville
University of the Basque Country · ESUniversity of Hull · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent spills in European waters have released polycyclic aromatic hydrocarbons, important components of heavy fuel oil, and the hydrocarbon styrene. Heavy fuel oil and styrene are classified as potentially genotoxic and carcinogenic. Here we investigate transcription of genes involved in cancer development in the liver of juvenile turbots and in the digestive gland of mussels exposed to heavy fuel oil and to styrene and after a recovery period. In turbot, oil produced a significant up-regulation of p53 and gadd45α after 14 days exposure. cyclin G1 was up-regulated after 7 days treatment with styrene. In mussels, ras was down-regulated in both treatments after the recovery periods. No mutations in ras hotspots were detected in exposed mussels. gadd45α was up-regulated after the recovery period of the styrene experiment. Overall, transcriptional responses differed in mussels compared to turbot. Turbot responded to hydrocarbon exposure by triggering cell cycle arrest (p53) and DNA repair (gadd45α).

Indexed as

AnimalsFlatfishesFuel OilsGADD45 ProteinsGastrointestinal TractGene Expression Regulation, NeoplasticIntracellular Signaling Peptides and ProteinsLiverMytilus edulisNeoplasm Proteinsras ProteinsSpecies SpecificityStyreneTumor Suppressor Protein p53Water Pollutants, ChemicalFuel OilsGADD45 ProteinsIntracellular Signaling Peptides and ProteinsNeoplasm Proteinsras ProteinsStyreneTumor Suppressor Protein p53Water Pollutants, Chemical

Identifiers

PMID22307397
OpenAlexW2321865779

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.