Evidence map›Paper›PMID 27901162›Full record

ArticleSoft matter2017

Molecular dynamics simulations and Kelvin probe force microscopy to study of cholesterol-induced electrostatic nanodomains in complex lipid mixtures.

E Drolle, W F D Bennett, K Hammond, E Lyman, M Karttunen, Z Leonenko

Abstract read
In one paragraph

Article in Soft matter, 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  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

6 authors.

E DrolleDepartment of Biology, University of Waterloo, Canada. zleonenk@uwaterloo.ca and Waterloo Institute of Nanotechnology, University of Waterloo, Canada.
W F D BennettDepartment of Physics and Astronomy and Department of Chemistry and Biochemistry, University of California, Santa Barbara, USA.
K HammondDepartment of Physics and Astronomy, University of Waterloo, Canada.
E LymanDepartment of Physics and Astronomy, 217 Sharp Lab, Newark, USA.
M KarttunenDepartment of Mathematics and Computer Science & Institute for Complex Molecular Systems, Eindhoven University of Technology, MetaForum, 5600 MB Eindhoven, the Netherlands.
Z LeonenkoDepartment of Biology, University of Waterloo, Canada. zleonenk@uwaterloo.ca and Waterloo Institute of Nanotechnology, University of Waterloo, Canada and Department of Physics and Astronomy, University of Waterloo, Canada.

Funding

This renovation project will create over 1455 sq. ft. of state- of-the-art reseaP20GM104316 · NIGMS · UNIVERSITY OF DELAWARE · PI FOX, JOSEPH M · 2014 to 2024
$26.8M
NIGMS NIH HHS P20 GM104316
6 · The paper itself

Abstract

The molecular arrangement of lipids and proteins within biomembranes and monolayers gives rise to complex film morphologies as well as regions of distinct electrical surface potential, topographical and electrostatic nanoscale domains. To probe these nanodomains in soft matter is a challenging task both experimentally and theoretically. This work addresses the effects of cholesterol, lipid composition, lipid charge, and lipid phase on the monolayer structure and the electrical surface potential distribution. Atomic force microscopy (AFM) was used to resolve topographical nanodomains and Kelvin probe force microscopy (KPFM) to resolve electrical surface potential of these nanodomains in lipid monolayers. Model monolayers composed of dipalmitoylphosphatidylcholine (DPPC), 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC), 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC), 1,2-dioleoyl-sn-glycero-3-[phospho-rac-(3-lysyl(1-glycerol))] (DOPG), and cholesterol were studied. It is shown that cholesterol changes nanoscale domain formation, affecting both topography and electrical surface potential. The molecular basis for differences in electrical surface potential was addressed with atomistic molecular dynamics (MD). MD simulations are compared the experimental results, with 100 s of mV difference in electrostatic potential between liquid-disordered bilayer (L

Identifiers

PMID27901162
PMCPMC7733735

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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.