Evidence map›Paper›PMID 26082144›Full record

ArticlePhysiological genomics2015

Identification of conserved hepatic transcriptomic responses to 17β-estradiol using high-throughput sequencing in brown trout.

Tamsyn M Uren Webster, Janice A Shears, Karen Moore, Eduarda M Santos

Open access · hybridAbstract read
In one paragraph

Article in Physiological genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Baseline estrogenic activity in juvenile brown trout liver and primary hepatocytes: integrated molecular and immunohistochemical analysis.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2026
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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

4 authors at 1 institution in 1 country.

Tamsyn M Uren WebsterBiosciences, College of Life & Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Janice A ShearsBiosciences, College of Life & Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Karen MooreBiosciences, College of Life & Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Eduarda M SantosBiosciences, College of Life & Environmental Sciences, University of Exeter, Exeter, United Kingdom E.Santos@exeter.ac.uk.
University of Exeter · GB

Funding

Wellcome TrustWellcome Trust WT097835MF
6 · The paper itself

Abstract

Estrogenic chemicals are major contaminants of surface waters and can threaten the sustainability of natural fish populations. Characterization of the global molecular mechanisms of toxicity of environmental contaminants has been conducted primarily in model species rather than species with limited existing transcriptomic or genomic sequence information. We aimed to investigate the global mechanisms of toxicity of an endocrine disrupting chemical of environmental concern [17β-estradiol (E2)] using high-throughput RNA sequencing (RNA-Seq) in an environmentally relevant species, brown trout (Salmo trutta). We exposed mature males to measured concentrations of 1.94, 18.06, and 34.38 ng E2/l for 4 days and sequenced three individual liver samples per treatment using an Illumina HiSeq 2500 platform. Exposure to 34.4 ng E2/L resulted in 2,113 differentially regulated transcripts (FDR < 0.05). Functional analysis revealed upregulation of processes associated with vitellogenesis, including lipid metabolism, cellular proliferation, and ribosome biogenesis, together with a downregulation of carbohydrate metabolism. Using real-time quantitative PCR, we validated the expression of eight target genes and identified significant differences in the regulation of several known estrogen-responsive transcripts in fish exposed to the lower treatment concentrations (including esr1 and zp2.5). We successfully used RNA-Seq to identify highly conserved responses to estrogen and also identified some estrogen-responsive transcripts that have been less well characterized, including nots and tgm2l. These results demonstrate the potential application of RNA-Seq as a valuable tool for assessing mechanistic effects of pollutants in ecologically relevant species for which little genomic information is available.

Indexed as

AnimalsDose-Response Relationship, DrugEcotoxicologyEndocrine DisruptorsEstradiolFemaleFish ProteinsGene Expression RegulationHigh-Throughput Nucleotide SequencingLiverMaleOncorhynchusWater Pollutants, ChemicalEndocrine DisruptorsEstradiolFish ProteinsWater Pollutants, ChemicalIlluminaRNA-Seqsalmonidsequencingtranscriptomics

Identifiers

PMID26082144
PMCPMC4556936
OpenAlexW2188741073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.