Evidence map›Paper›PMID 30679525›Full record

ArticleScientific reports2019

Multiple stochastic pathways in forced peptide-lipid membrane detachment.

Milica Utjesanovic, Tina R Matin, Krishna P Sigdel, Gavin M King, Ioan Kosztin

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

5 authors.

Milica UtjesanovicDepartment of Physics and Astronomy, University of Missouri, Columbia, MO, 65211, USA.
Tina R MatinDepartment of Physics and Astronomy, University of Missouri, Columbia, MO, 65211, USA.
Krishna P SigdelDepartment of Physics and Astronomy, University of Missouri, Columbia, MO, 65211, USA.
Gavin M KingDepartment of Physics and Astronomy, University of Missouri, Columbia, MO, 65211, USA. kinggm@missouri.edu.
Ioan KosztinDepartment of Physics and Astronomy, University of Missouri, Columbia, MO, 65211, USA. kosztini@missouri.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have used high resolution AFM based dynamic force spectroscopy to investigate peptide-lipid membrane interactions by measuring the detachment (last-rupture) force distribution, P(F), and the corresponding force dependent rupture rate, k(F), for two different peptides and lipid bilayers. The measured quantities, which differed considerably for different peptides, lipid-membranes, AFM tips (prepared under identical conditions), and retraction speeds of the AFM cantilever, could not be described in terms of the standard theory, according to which detachment occurs along a single pathway, corresponding to a diffusive escape process across a free energy barrier. In particular, the prominent retraction speed dependence of k(F) was a clear indication that peptide-lipid membrane dissociation occurs stochastically along several detachment pathways. Thereby, we have formulated a general theoretical approach for describing P(F) and k(F), by assuming that peptide detachment from lipid membranes occurs, with certain probability, along a few dominant diffusive pathways. This new method was validated through a consistent interpretation of the experimental data. Furthermore, we have found that for moderate retraction speeds at intermediate force values, k(F) exhibits catch-bond behavior (i.e. decreasing detachment rate with increasing force). According to the proposed model this behavior is due to the stochastic mixing of individual detachment pathways which do not convert or cross during rupture. To our knowledge, such catch-bond mechanism has not been proposed and demonstrated before for a peptide-lipid interaction.

Indexed as

Biophysical PhenomenaAlgorithmsAmino Acid SequenceKineticsLipid BilayersMembrane LipidsMicroscopy, Atomic ForceModels, TheoreticalPeptidesThermodynamicsLipid BilayersMembrane LipidsPeptides

Identifiers

PMID30679525
PMCPMC6345752

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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.