Evidence map›Paper›PMID 24850832›Full record

ReviewJournal of molecular endocrinology2014

Transcriptional analysis of endocrine disruption using zebrafish and massively parallel sequencing.

Michael E Baker, Gary Hardiman

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of molecular endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Use of Zebrafish in Drug Discovery Toxicology.Chemical research in toxicology · 2020
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

2 authors at 2 institutions in 1 country.

Michael E BakerDepartment of MedicineUniversity of California San Diego, 9500 Gilman Drive 0605, La Jolla, California 92093-0605, USACSRC and BIMRCSan Diego State University, 5500 Campanile Drive, San Diego, California 92182-7720, USADepartment of MedicineMedical University of South Carolina, 135 Cannon Street, Suite 303 MSC 835, Charleston, South Carolina 29425, USA mebaker@ucsd.edu hardiman@musc.edu.
Gary HardimanDepartment of MedicineUniversity of California San Diego, 9500 Gilman Drive 0605, La Jolla, California 92093-0605, USACSRC and BIMRCSan Diego State University, 5500 Campanile Drive, San Diego, California 92182-7720, USADepartment of MedicineMedical University of South Carolina, 135 Cannon Street, Suite 303 MSC 835, Charleston, South Carolina 29425, USADepartment of MedicineUniversity of California San Diego, 9500 Gilman Drive 0605, La Jolla, California 92093-0605, USACSRC and BIMRCSan Diego State University, 5500 Campanile Drive, San Diego, California 92182-7720, USADepartment of MedicineMedical University of South Carolina, 135 Cannon Street, Suite 303 MSC 835, Charleston, South Carolina 29425, USA mebaker@ucsd.edu hardiman@musc.edu.
San Diego State University · USUniversity of California, San Diego · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
The UCSD Digestive Diseases Research Development CenterR24DK080506 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ECKMANN, LARS · 2008 to 2012
$2.7M
NCI NIH HHS CA023100NCI NIH HHS P30 CA023100NIDDK NIH HHS DK063491NIDDK NIH HHS DK080506NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R24 DK080506
6 · The paper itself

Abstract

Endocrine-disrupting chemicals (EDCs), including plasticizers, pesticides, detergents, and pharmaceuticals, affect a variety of hormone-regulated physiological pathways in humans and wildlife. Many EDCs are lipophilic molecules and bind to hydrophobic pockets in steroid receptors, such as the estrogen receptor and androgen receptor, which are important in vertebrate reproduction and development. Indeed, health effects attributed to EDCs include reproductive dysfunction (e.g. reduced fertility, reproductive tract abnormalities, and skewed male:female sex ratios in fish), early puberty, various cancers, and obesity. A major concern is the effects of exposure to low concentrations of endocrine disruptors in utero and post partum, which may increase the incidence of cancer and diabetes in adults. EDCs affect transcription of hundreds and even thousands of genes, which has created the need for new tools to monitor the global effects of EDCs. The emergence of massive parallel sequencing for investigating gene transcription provides a sensitive tool for monitoring the effects of EDCs on humans and other vertebrates, as well as elucidating the mechanism of action of EDCs. Zebrafish conserve many developmental pathways found in humans, which makes zebrafish a valuable model system for studying EDCs, especially on early organ development because their embryos are translucent. In this article, we review recent advances in massive parallel sequencing approaches with a focus on zebrafish. We make the case that zebrafish exposed to EDCs at different stages of development can provide important insights on EDC effects on human health.

Indexed as

Environmental ExposureHigh-Throughput Nucleotide SequencingSequence Analysis, DNAAnimalsBase SequenceDiabetes MellitusEndocrine DisruptorsFemaleMaternal-Fetal ExchangeModels, AnimalNeoplasmsPregnancyReproductionTranscriptomeZebrafishEndocrine Disruptorsendocrine disruptorsmassive parallel sequencingsteroid receptorszebrafish

Identifiers

PMID24850832
PMCPMC4145605
OpenAlexW2172029698

What OpenQuestion holds

Textmetadata
LicenceTDM
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.