Evidence map›Paper›PMID 33164792›Full record

ArticleMethods (San Diego, Calif.)2022

Atomic force microscopy for quantitative understanding of peptide-induced lipid bilayer remodeling.

K G Schaefer, A E Pittman, F N Barrera, G M King

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. TheeLife · 2022
    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 at 2 institutions in 1 country.

K G SchaeferDepartment of Physics and Astronomy, University of Missouri-Columbia, Columbia, MO 65211, USA.
A E PittmanDepartment of Physics and Astronomy, University of Missouri-Columbia, Columbia, MO 65211, USA.
F N BarreraDepartment of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USA.
G M KingDepartment of Physics and Astronomy, University of Missouri-Columbia, Columbia, MO 65211, USA; Department of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA. Electronic address: kinggm@missouri.edu.
University of Missouri · USUniversity of Tennessee at Knoxville · US

Funding

Mechanisms of modulation of transmembrane interactionsR35GM140846 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI BARRERA, FRANCISCO NICOLAS · 2021 to 2025
$1.9M
Transmembrane Peptides for Targeting Acidosis - Equipment SupplementR01GM120642 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI BARRERA, FRANCISCO NICOLAS · 2016 to 2020
$1.7M
NIGMS NIH HHS R01 GM120642NIGMS NIH HHS R35 GM140846
6 · The paper itself

Abstract

A number of peptides are known to bind lipid bilayer membranes and cause these natural barriers to leak in an uncontrolled manner. Though membrane permeabilizing peptides play critical roles in cellular activity and may have promising future applications in the therapeutic arena, significant questions remain about their mechanisms of action. The atomic force microscope (AFM) is a single molecule imaging tool capable of addressing lipid bilayers in near-native fluid conditions. The apparatus complements traditional assays by providing local topographic maps of bilayer remodeling induced by membrane permeabilizing peptides. The information garnered from the AFM includes direct visualization and statistical analyses of distinct bilayer remodeling modes such as highly localized pore-like voids in the bilayer and dispersed thinned membrane regions. Colocalization of distinct remodeling modes can be studied. Here we examine recent work in the field and outline methods used to achieve precise AFM image data. Experimental challenges and common pitfalls are discussed as well as techniques for unbiased analysis including the Hessian blob detection algorithm, bootstrapping, and the Bayesian information criterion. When coupled with robust statistical analyses, high precision AFM data is poised to advance understanding of an important family of peptides that cause poration of membrane bilayers.

Indexed as

Lipid BilayersPeptidesBayes TheoremMicroscopy, Atomic ForceSingle Molecule ImagingLipid BilayersPeptidesAFMPore formingScanning probeSLBSupported lipid bilayer

Identifiers

PMID33164792
PMCPMC12149853
OpenAlexW3094219042

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.