Evidence map›Paper›PMID 30366465›Full record

ArticleGenes2018

De Novo Hepatic Transcriptome Assembly and Systems Level Analysis of Three Species of Dietary Fish,

Dylan J Richards, Ludivine Renaud, Nisha Agarwal, E Starr Hazard, John Hyde, Gary Hardiman

Open access · goldAbstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Insights into the molecular response ofScience and technology of advanced materials · 2024
    Article
  2. 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

6 authors at 5 institutions in 2 countries.

Dylan J RichardsBioengineering Department, Clemson University, Charleston, SC 29425, USA. djricha@clemson.edu.
Ludivine RenaudDepartment of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA. renaudl@musc.edu.
Nisha AgarwalBiomedical Informatics Research Center, San Diego State University, San Diego, CA 92182, USA. nisha2683@gmail.com.
E Starr HazardCenter for Genomic Medicine, Bioinformatics, Medical University of South Carolina, Charleston, SC 29425, USA. hazards@musc.edu.ORCID 0000-0002-4645-7642
John HydeNOAA Fisheries, Southwest Fisheries Science Center, La Jolla, CA 92037, USA. john.hyde@noaa.gov.
Gary HardimanDepartment of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA. G.Hardiman@qub.ac.uk.ORCID 0000-0003-4558-0400
Medical University of South Carolina · USClemson University · USNOAA National Marine Fisheries Service · USQueen's University Belfast · GBSan Diego State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The monitoring of marine species as sentinels for ecosystem health has long been a valuable tool worldwide, providing insight into how both anthropogenic pollution and naturally occurring phenomena (i.e., harmful algal blooms) may lead to human and animal dietary concerns. The marine environments contain many contaminants of anthropogenic origin that have sufficient similarities to steroid and thyroid hormones, to potentially disrupt normal endocrine physiology in humans, fish, and other animals. An appropriate understanding of the effects of these endocrine disrupting chemicals (EDCs) on forage fish (e.g., sardine, anchovy, mackerel) can lead to significant insight into how these contaminants may affect local ecosystems in addition to their potential impacts on human health. With advancements in molecular tools (e.g., high-throughput sequencing, HTS), a genomics approach offers a robust toolkit to discover putative genetic biomarkers in fish exposed to these chemicals. However, the lack of available sequence information for non-model species has limited the development of these genomic toolkits. Using HTS and de novo assembly technology, the present study aimed to establish, for the first time for

Indexed as

de novo transcriptome assemblygenomic biomarkersmackerelRNA sequencingsardineturbot

Identifiers

PMID30366465
PMCPMC6266404
OpenAlexW2898260494

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.