Evidence map›Paper›PMID 30958194›Full record

ArticleJournal of the Royal Society, Interface2019

Electromechanical vibration of microtubules and its application in biosensors.

Si Li, Chengyuan Wang, Perumal Nithiarasu

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Si LiZienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University , Bay Campus, Fabian Way, Swansea SA1 8EN , UK.
Chengyuan WangZienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University , Bay Campus, Fabian Way, Swansea SA1 8EN , UK.
Perumal NithiarasuZienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University , Bay Campus, Fabian Way, Swansea SA1 8EN , UK.
Swansea University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An electric field (EF) has the potential to excite the vibration of polarized microtubules (MTs) and thus enable their use as a biosensor for the biophysical properties of MTs or cells. To facilitate the development, this paper aims to capture the EF-induced vibration modes and the associated frequency for MTs. The analyses were carried out based on a molecular structural mechanics model accounting for the structural details of MTs. Transverse vibration, radial breathing vibration and axial vibration were achieved for MTs subject to a transverse or an axial EF. The frequency shift and stiffness alteration of MTs were also examined due to the possible changes of the tubulin interactions in physiological or pathological processes. The strong correlation achieved between the tubulin interaction and MT vibration excited by EF provides a new avenue to a non-contacting technique for the structural or property changes in MTs, where frequency shift is used as a biomarker. This technique can be used for individual MTs and is possible for those in cells when the cytosol damping on MT vibrations is largely reduced by the unique features of MT-cytosol interface.

Indexed as

Biosensing TechniquesElectrochemical TechniquesModels, ChemicalVibrationAnimalsMicrotubuleselastic modulielectromechanical vibrationmicrotubulestubulin interaction

Identifiers

PMID30958194
PMCPMC6408348
OpenAlexW2912453984

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.