Evidence map›Paper›PMID 17449659›Full record

ArticleBiophysical journal2007

Effect of membrane microheterogeneity and domain size on fluorescence resonance energy transfer.

Kevin B Towles, Angela C Brown, Steven P Wrenn, Nily Dan

Abstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Bursting bubbles and bilayers.Theranostics · 2012
    Review
  6. FRET in Membrane Biophysics: An Overview.Frontiers in physiology · 2011
    Article
  7. Article
  8. Review
  9. Review
  10. 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

4 authors.

Kevin B TowlesDepartment of Chemical and Biological Engineering, Drexel University, Philadelphia, Pennsylvania, USA. kbt22@drexel.edu
Angela C Brown
Steven P Wrenn
Nily Dan

Funding

Cholesterol Nanodomain Formation in Lipid MembranesR01GM071355 · NIGMS · DREXEL UNIVERSITY · PI WRENN, STEVEN P · 2005 to 2009
$1.0M
NIGMS NIH HHS R01 GM071355NIGMS NIH HHS R01GM071355
6 · The paper itself

Abstract

Studies of multicomponent membranes suggest lateral inhomogeneity in the form of membrane domains, but the size of small (nanoscale) domains in situ cannot be determined with current techniques. In this article, we present a model that enables extraction of membrane domain size from time-resolved fluorescence resonance energy transfer (FRET) data. We expand upon a classic approach to the infinite phase separation limit and formulate a model that accounts for the presence of disklike domains of finite dimensions within a two-dimensional infinite planar bilayer. The model was tested against off-lattice Monte Carlo calculations of a model membrane in the liquid-disordered (l(d)) and liquid-ordered (l(o)) coexistence regime. Simulated domain size was varied from 5 to 50 nm, and two fluorophores, preferentially partitioning into opposite phases, were randomly mixed to obtain the simulated time-resolved FRET data. The Monte Carlo data show clear differences in the efficiency of energy transfer as a function of domain size. The model fit of the data yielded good agreement for the domain size, especially in cases where the domain diameter is <20 nm. Thus, data analysis using the proposed model enables measurement of nanoscale membrane domains using time-resolved FRET.

Indexed as

Biophysical PhenomenaBiophysicsFluorescence Resonance Energy TransferLipid BilayersMembrane MicrodomainsMembranesMembranes, ArtificialModels, MolecularMonte Carlo MethodNanotechnologyLipid BilayersMembranes, Artificial

Identifiers

PMID17449659
PMCPMC1896247

What OpenQuestion holds

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Registered trials

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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.