Evidence map›Paper›PMID 21332237›Full record

ArticleBiochemistry2011

Diffusion as a probe of peptide-induced membrane domain formation.

Lin Guo, Kathryn B Smith-Dupont, Feng Gai

Abstract read
In one paragraph

Article in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Lin GuoDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Kathryn B Smith-Dupont
Feng Gai

Funding

Spectroscopic Study of Protein Folding DynamicsR01GM065978 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI GAI, FENG · 2002 to 2014
$3.9M
NIGMS NIH HHS GM-065978NIGMS NIH HHS R01 GM065978
6 · The paper itself

Abstract

Recently, we have shown that association with an antimicrobial peptide (AMP) can drastically alter the diffusion behavior of the constituent lipids in model membranes (Biochemistry 49, 4672-4678). In particular, we found that the diffusion time of a tracer fluorescent lipid through a confocal volume measured via fluorescence correlation spectroscopy (FCS) is distributed over a wide range of time scales, indicating the formation of stable and/or transient membrane species that have different mobilities. A simple estimate, however, suggested that the slow diffusing species are too large to be attributed to AMP oligomers or pores that are tightly bound to a small number of lipids. Thus, we tentatively ascribed them to membrane domains and/or clusters that possess distinctively different diffusion properties. In order to further substantiate our previous conjecture, herein we study the diffusion behavior of the membrane-bound peptide molecules using the same AMPs and model membranes. Our results show, in contrast to our previous findings, that the diffusion times of the membrane-bound peptides exhibit a much narrower distribution that is more similar to that of the lipids in peptide-free membranes. Thus, taken together, these results indicate that while AMP molecules prompt domain formation in membranes, they are not tightly associated with the lipid domains thus formed. Instead, they are likely located at the boundary regions separating various domains and acting as mobile fences.

Indexed as

Amino Acid SequenceAntimicrobial Cationic PeptidesDiffusionIntercellular Signaling Peptides and ProteinsLipid MetabolismMembrane MicrodomainsMolecular Sequence DataPeptidesProtein StabilitySpectrometry, FluorescenceAntimicrobial Cationic PeptidesIntercellular Signaling Peptides and Proteinsmastoparan XPeptides

Identifiers

PMID21332237
PMCPMC3062684

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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.