Evidence map›Paper›PMID 28647752›Full record

ArticleThe Journal of membrane biology2017

Possible Effects of Electric Fields on a Pair of Spherical Cells.

Yu Zheng, Jing Xue, Yang Gao, Lei Dong, Jun-Rong Dou, Wei Ma

Abstract read
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In one paragraph

Article in The Journal of membrane biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yu ZhengDepartment of Biomedical Engineering, School of Electronics and Information Engineering, Tianjin Polytechnic University, No. 399 Binshui Road, Xiqing District, Tianjin, China. zhengyu@tjpu.edu.cn.ORCID 0000-0003-2317-6511
Jing XueDepartment of Biomedical Engineering, School of Electronics and Information Engineering, Tianjin Polytechnic University, No. 399 Binshui Road, Xiqing District, Tianjin, China.
Yang GaoDepartment of Biomedical Engineering, School of Electronics and Information Engineering, Tianjin Polytechnic University, No. 399 Binshui Road, Xiqing District, Tianjin, China.
Lei DongSchool of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, 300072, China.
Jun-Rong DouDepartment of Biomedical Engineering, School of Electronics and Information Engineering, Tianjin Polytechnic University, No. 399 Binshui Road, Xiqing District, Tianjin, China.
Wei MaDepartment of Biomedical Engineering, School of Electronics and Information Engineering, Tianjin Polytechnic University, No. 399 Binshui Road, Xiqing District, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electric fields (EF) can induce some physiological or biological effects in neural tissues, which have been explored in many applications such as electroporation. The key to understand the possible underlying mechanisms of such effects tend to be the induced transmembrane potential. Although transmembrane potentials have already been the subject of many theoretical studies, most previous works concerning this topic are mainly focused on the situations of isolated cells. In previous studies, cells are often considered to be three-compartment models with different electroconductivities in different regions (the three compartments are often intracellular regions, membrane, and extracellular regions). In the present paper, we utilize a finite element method (FSM) (with the help of COMSOL

Indexed as

Finite Element AnalysisModels, BiologicalAnimalsHumansMembrane PotentialsNerve TissueA pair of spherical cells modelEF exposureElectroporationTransmembrane potential

Identifiers

PMID28647752

What OpenQuestion holds

Textmetadata
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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.