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Atomic force microscopy for quantitative understanding of peptide-induced lipid bilayer remodeling.
Schaefer, K G; Pittman, A E; Barrera, F N; King, G M.
Afiliación
  • Schaefer KG; Department of Physics and Astronomy, University of Missouri-Columbia, Columbia, MO 65211, USA.
  • Pittman AE; Department of Physics and Astronomy, University of Missouri-Columbia, Columbia, MO 65211, USA.
  • Barrera FN; Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USA.
  • King GM; Department 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.
Methods ; 197: 20-29, 2022 01.
Article en En | MEDLINE | ID: mdl-33164792
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos / Membrana Dobles de Lípidos Tipo de estudio: Prognostic_studies Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos / Membrana Dobles de Lípidos Tipo de estudio: Prognostic_studies Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos