Evidence map›Paper›PMID 31924791›Full record

ArticleNature communications2020

An electrochemical biosensor for the detection of epithelial-mesenchymal transition.

Xin Du, Zhenhua Zhang, Xiaodi Zheng, Hongyan Zhang, Dan Dong, Zhenguo Zhang, Min Liu, Jun Zhou

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. An Engineered Supramolecular Pathway for Enhanced Electrochemiluminescence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  11. 2D Materials in Advanced Electronic Biosensors for Point-of-Care Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. New trends in diagnosing and treating ovarian cancer using nanotechnology.Frontiers in bioengineering and biotechnology · 2023
    Review
  18. Review
  19. Review
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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

8 authors.

Xin DuShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China.ORCID http://orcid.org/0000-0003-1494-4910
Zhenhua ZhangShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China.
Xiaodi ZhengShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China.
Hongyan ZhangShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China.
Dan DongShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China.
Zhenguo ZhangShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China.
Min LiuShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China. minliu@sdnu.edu.cn.
Jun ZhouShandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Jinan, Shandong, 250014, China. junzhou@sdnu.edu.cn.ORCID http://orcid.org/0000-0003-3131-7804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is critically involved in a variety of biological processes. Electrochemical sensing offers potential to develop more effective technology for EMT detection. In this study, by using the unique performance of quantum dot (QD)-nanocomposite materials, we establish an electrochemical biosensor that can specifically detect the change of E-cadherin and analyze different stages of EMT. The signal for EMT is largely magnified due to the transmission of molecular information to the electronic device. In addition, differential pulse voltammetry reveals that the response of the electrochemical signals is rapid and sensitive, due to the synergistic effect of QDs and carbon nanotube-gold nanoparticles. Our study thus suggests that electrochemical sensing is an effective technology for detecting EMT and may have broad applications in analyzing various cell type transitions.

Indexed as

Epithelial-Mesenchymal TransitionA549 CellsAntigens, CDBiosensing TechniquesCadherinsElectrochemistryElectrodesEquipment DesignGoldHumansMetal NanoparticlesNanocompositesNanotubes, CarbonQuantum DotsSensitivity and SpecificityAntigens, CDCadherinsCDH1 protein, humanGoldNanotubes, Carbon

Identifiers

PMID31924791
PMCPMC6954246

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.