Evidence map›Paper›PMID 28640862›Full record

ArticlePloS one2017

A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration.

Jiao Wang, Qian Wang, Dongfang Lu, Fangfang Zhou, Dong Wang, Ruili Feng, Kai Wang, Robert Molday, Jiang Xie, Tieqiao Wen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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
0.2field-weighted citation impact, top 44% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  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

10 authors at 4 institutions in 2 countries.

Jiao WangLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.ORCID http://orcid.org/0000-0001-9875-5425
Qian WangLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Dongfang LuSchool of Computer Engineering and Science, Shanghai University, Shanghai, China.
Fangfang ZhouLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Dong WangLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Ruili FengLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Kai WangShanghai Key Laboratory of Molecular Andrology, Institute of Biochemistry and Cell Biology, Shanghai Institute of Biological Science, Chinese Academy of Sciences, Shanghai, China.
Robert MoldayDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada.
Jiang XieSchool of Computer Engineering and Science, Shanghai University, Shanghai, China.
Tieqiao WenLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Shanghai University · CNShanghai University of Engineering Science · CNChinese Academy of Sciences · CNUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the molecular mechanisms underlying cell migration, which plays an important role in tumor growth and progression, is critical for the development of novel tumor therapeutics. Overexpression of transmembrane protein 30A (TMEM30A) has been shown to initiate tumor cell migration, however, the molecular mechanisms through which this takes place have not yet been reported. Thus, we propose the integration of computational and experimental approaches by first predicting potential signaling networks regulated by TMEM30A using a) computational biology methods, b) our previous mass spectrometry results of the TMEM30A complex in mouse tissue, and c) a number of migration-related genes manually collected from the literature, and subsequently performing molecular biology experiments including the in vitro scratch assay and real-time quantitative polymerase chain reaction (qPCR) to validate the reliability of the predicted network. The results verify that the genes identified in the computational signaling network are indeed regulated by TMEM30A during cell migration, indicating the effectiveness of our proposed method and shedding light on the regulatory mechanisms underlying tumor migration, which facilitates the understanding of the molecular basis of tumor invasion.

Indexed as

Cell MovementSignal TransductionATP-Binding Cassette TransportersCell Line, TumorComputational BiologyGene Expression Regulation, NeoplasticHumansMembrane ProteinsATP11A protein, humanATP-Binding Cassette TransportersMembrane ProteinsTMEM30a protein, human

Identifiers

PMID28640862
PMCPMC5481017
OpenAlexW2700061377

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.