Evidence map›Paper›PMID 22729214›Full record

ArticleEuropean biophysics journal : EBJ2012

Effect of cholesterol on the lateral nanoscale dynamics of fluid membranes.

Clare L Armstrong, Matthew A Barrett, Arno Hiess, Tim Salditt, John Katsaras, An-Chang Shi, Maikel C Rheinstädter

Abstract read
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In one paragraph

Article in European biophysics journal : EBJ, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Closed-loop fluid-fluid immiscibility in binary lipid-sterol membranes.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Aspirin locally disrupts the liquid-ordered phase.Royal Society open science · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Neutron Scattering at the Intersection of Heart Health Science and Biophysics.Journal of cardiovascular development and disease · 2015
    Review
  17. Article
  18. Article
  19. 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

7 authors.

Clare L ArmstrongDepartment of Physics and Astronomy, McMaster University, ABB-241, 1280 Main Street West, Hamilton, ON, L8S 4M1, Canada. armstc5@mcmaster.ca
Matthew A Barrett
Arno Hiess
Tim Salditt
John Katsaras
An-Chang Shi
Maikel C Rheinstädter

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inelastic neutron scattering was used to study the effect of 5 and 40 mol% cholesterol on the lateral nanoscale dynamics of phospholipid membranes. By measuring the excitation spectrum at several lateral q (||) values (up to q (||) = 3 Å(-1)), complete dispersion curves were determined of gel, fluid and liquid-ordered phase bilayers. The inclusion of cholesterol had a distinct effect on the collective dynamics of the bilayer's hydrocarbon chains; specifically, we observed a pronounced stiffening of the membranes on the nanometer length scale in both gel and fluid bilayers, even though they were experiencing a higher degree of molecular disorder. Also, for the first time we determined the nanoscale dynamics in the high-cholesterol liquid-ordered phase of bilayers containing cholesterol. Namely, this phase appears to be "softer" than fluid bilayers, but better ordered than bilayers in the gel phase.

Indexed as

Molecular Dynamics SimulationCholesterolDimyristoylphosphatidylcholineLipid BilayersNeutron DiffractionCholesterolDimyristoylphosphatidylcholineLipid Bilayers

Identifiers

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.