Evidence map›Paper›PMID 29224359›Full record

ArticleEnvironmental science & technology2018

A Reduced Transcriptome Approach to Assess Environmental Toxicants Using Zebrafish Embryo Test.

Pingping Wang, Pu Xia, Jianghua Yang, Zhihao Wang, Ying Peng, Wei Shi, Daniel L Villeneuve, Hongxia Yu, Xiaowei Zhang

Abstract read
In one paragraph

Article in Environmental science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

9 authors.

Pingping WangState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.ORCID 0000-0002-9861-3731
Pu XiaState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.ORCID 0000-0002-1186-378X
Jianghua YangState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.
Zhihao WangState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.
Ying PengState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.
Wei ShiState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.
Daniel L VilleneuveUnited States Environmental Protection Agency, Mid-Continent Ecology Division , Duluth, Minnesota, United States.
Hongxia YuState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.
Xiaowei ZhangState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University , Nanjing, P. R. China , 210023.ORCID 0000-0001-8974-9963

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Omics approaches can monitor responses and alterations of biological pathways at genome-scale, which are useful to predict potential adverse effects by environmental toxicants. However, high throughput application of transcriptomics in chemical assessment is limited due to the high cost and lack of "standardized" toxicogenomic methods. Here, a reduced zebrafish transcriptome (RZT) approach was developed to represent the whole transcriptome and to profile bioactivity of chemical and environmental mixtures in zebrafish embryo. RZT gene set of 1637 zebrafish Entrez genes was designed to cover a wide range of biological processes, and to faithfully capture gene-level and pathway-level changes by toxicants compared with the whole transcriptome. Concentration-response modeling was used to calculate the effect concentrations (ECs) of DEGs and corresponding molecular pathways. To validate the RZT approach, quantitative analysis of gene expression by RNA-ampliseq technology was used to identify differentially expressed genes (DEGs) at 32 hpf following exposure to seven serial dilutions of reference chemical BPA (10-10E

Indexed as

TranscriptomeZebrafishAnimalsEmbryo, NonmammalianGene Expression ProfilingSequence Analysis, RNA

Identifiers

PMID29224359
PMCPMC5839301

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.