Evidence map›Paper›PMID 19289212›Full record

ArticleMethods in enzymology2009

Model membrane thermodynamics and lateral distribution of cholesterol: from experimental data to Monte Carlo simulation.

Juyang Huang

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Cholesterol impacts the formation of huntingtin/lipid complexes and subsequent aggregation.Protein science : a publication of the Protein Society · 2023
    Article
  4. Pneumolysin-damaged cells benefit from non-homogeneous toxin binding to cholesterol-rich membrane domains.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2018
    Article
  5. Membrane interaction of retroviral Gag proteins.Frontiers in microbiology · 2014
    Review
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  8. Article
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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

1 author at 1 institution in 1 country.

Juyang HuangDepartment of Physics, Texas Tech University, Lubbock, Texas, USA.
Texas Tech University · US

Funding

Membrane Control of Protein-Protein Contact. Simulation Based on Phase DiagramsR01GM077198 · NIGMS · CORNELL UNIVERSITY · PI FEIGENSON, GERALD WILLIAM · 2007 to 2010
$1.6M
NIGMS NIH HHS 1 R01 GM077198-01A1NIGMS NIH HHS R01 GM077198
6 · The paper itself

Abstract

Thermodynamic analysis and Monte Carlo simulation techniques were used to study cholesterol-lipid interactions in lipid membranes. Experimental data, including the maximum solubility of cholesterol in lipid bilayers, the 1-to-1 displacement of cholesterol by ceramide, and the cholesterol chemical activity with cholesterol oxidase (COD), were systematically analyzed using thermodynamic principles. A conceptual model, the umbrella model, is presented to describe the key cholesterol-lipid interaction in lipid membranes. In a lipid membrane, nonpolar cholesterol relies on polar phospholipid headgroup coverage to avoid the unfavorable free energy of cholesterol contact with water. This coverage requirement leads to cholesterol's strong tendency not to clustering in a bilayer, its preferential association with large headgroup lipids with saturated acyl chains, and its competition with ceramide for large headgroup lipids. The umbrella model was parameterized into a form of multibody (i.e., nonpairwise) interaction for Monte Carlo simulation, and the measured chemical potentials of cholesterol agreed favorably with the predictions from the simulation. Under the right conditions, the multibody interactions can also lead to the formation of cholesterol superlattices. Also, an intrinsic thermodynamic connection between a jump in chemical potential and a regular distribution (RD) of membrane molecules was uncovered. This study shows that combining thermodynamics with computer simulation can be a productive approach for analyzing and interpreting complex experimental data, and thermodynamics can yield a predicting power in bioscience research.

Indexed as

Models, BiologicalMonte Carlo MethodThermodynamicsAnimalsCholesterolComputer SimulationLipid BilayersPhosphatidylcholinesSolubilityCholesterolLipid BilayersPhosphatidylcholines

Identifiers

PMID19289212
PMCPMC2657939
OpenAlexW1535820133

What OpenQuestion holds

Textmetadata
LicenceTDM
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.