Evidence map›Paper›PMID 29614840›Full record

ArticleSensors (Basel, Switzerland)2018

Detection of Metallothionein in Javanese Medaka (Oryzias javanicus), Using a scFv-Immobilized Protein Chip.

Euiyeon Lee, Hyunjin Jeon, Chungwon Kang, Seonock Woo, Seungshic Yum, Youngeun Kwon

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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 37% 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, 6 citations in OpenAlex.

  1. Article
  2. Synthetic fish metallothionein design as a potential tool for monitoring toxic metals in water.Environmental science and pollution research international · 2021
    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

6 authors at 2 institutions in 1 country.

Euiyeon LeeDepartment of Biomedical Engineering, Dongguk University, Seoul 04620, Korea. dmldysl@gmail.com.
Hyunjin JeonDepartment of Biomedical Engineering, Dongguk University, Seoul 04620, Korea. 9212jhj@gmail.com.
Chungwon KangDepartment of Biomedical Engineering, Dongguk University, Seoul 04620, Korea. iu8974@gmail.com.
Seonock WooFaculty of Marine Environmental Science, University of Science and Technology (UST), Geoje 53201, Korea. cwoo@kiost.ac.kr.
Seungshic YumFaculty of Marine Environmental Science, University of Science and Technology (UST), Geoje 53201, Korea. syum@kiost.ac.kr.
Youngeun KwonDepartment of Biomedical Engineering, Dongguk University, Seoul 04620, Korea. ykwon@dongguk.edu.
Dongguk University · KRKorea University of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental pollution by various industrial chemicals and biological agents poses serious risks to human health. Especially, marine contamination by potentially toxic elements (PTEs) has become a global concern in recent years. Many efforts have been undertaken to monitor the PTE contamination of the aquatic environment. However, there are few approaches available to assess the PTE exposure of aquatic organisms. In this research, we developed a strategy to evaluate the heavy metal exposure of marine organisms, by measuring the expression levels of metallothionein protein derived from

Indexed as

OryziasAnimalsImmobilized ProteinsIndonesiaMetallothioneinProtein Array AnalysisSurface Plasmon ResonanceImmobilized ProteinsMetallothioneinbiomarkermetallothioneinsensor chipsingle-chain fragment of variable region (scFv)surface plasmon resonance (SPR)

Identifiers

PMID29614840
PMCPMC5948571
OpenAlexW2796203614

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.