Evidence map›Paper›PMID 30018296›Full record

ArticleScientific reports2018

Clustering and separation of hydrophobic nanoparticles in lipid bilayer explained by membrane mechanics.

Matej Daniel, Jitka Řezníčková, Milan Handl, Aleš Iglič, Veronika Kralj-Iglič

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Matej DanielDepartment of Mechanics, Biomechanics and Mechatronics, Faculty of Mechanical Engineering, Czech Technical University in Prague, 16600, Prague 6, Czech Republic. matej.daniel@fs.cvut.cz.ORCID 0000-0003-0532-1965
Jitka ŘezníčkováDepartment of Mechanics, Biomechanics and Mechatronics, Faculty of Mechanical Engineering, Czech Technical University in Prague, 16600, Prague 6, Czech Republic.
Milan HandlUniversity Hospital Motol, Charles University in Prague, 150 06, Prague 5, Czech Republic.
Aleš IgličLaboratory of Biophysics, Faculty of Electrical Engineering, University of Ljubljana, SI-1000, Ljubljana, Slovenia.
Veronika Kralj-IgličLaboratory of Clinical Biophysics, Faculty of Health Sciences, University of Ljubljana, SI-1000, Ljubljana, Slovenia.

Funding

Grantová Agentura České Republiky (Grant Agency of the Czech Republic) 15-33629AMinisterstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic) 15-33629AMinisterstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic) 16-14758S
6 · The paper itself

Abstract

Small hydrophobic gold nanoparticles with diameter lower than the membrane thickness can form clusters or uniformly distribute within the hydrophobic core of the bilayer. The coexistence of two stable phases (clustered and dispersed) indicates the energy barrier between nanoparticles. We calculated the distance dependence of the membrane-mediated interaction between two adjacent nanoparticles. In our model we consider two deformation modes: the monolayer bending and the hydroxycarbon chain stretching. Existence of an energy barrier between the clustered and the separated state of nanoparticles was predicted. Variation analysis of the membrane mechanical parameters revealed that the energy barrier between two membrane embedded nanoparticles is mainly the consequence of the bending deformation and not change of the thickness of the bilayer in the vicinity of nanoparticles. It is shown, that the forces between the nanoparticles embedded in the biological membrane could be either attractive or repulsive, depending on the mutual distance between them.

Indexed as

Models, ChemicalCluster AnalysisGoldHydrophobic and Hydrophilic InteractionsLipid BilayersMetal NanoparticlesThermodynamicsGoldLipid Bilayers

Identifiers

PMID30018296
PMCPMC6050295

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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.