Literature DB >> 8408070

Reciprocal effects of apolipoprotein and lytic peptide analogs on membranes. Cross-sectional molecular shapes of amphipathic alpha helixes control membrane stability.

E M Tytler1, J P Segrest, R M Epand, S Q Nie, R F Epand, V K Mishra, Y V Venkatachalapathi, G M Anantharamaiah.   

Abstract

Apolipoprotein (class A) amphipathic helixes are postulated to act as detergents by virtue of their cross-section being wedge-shaped. Using computer analysis of naturally occurring class A and lytic (class L) amphipathic helixes, we designed two archetypical model peptides. Analogs of these two peptides, incorporating substitutions or modifications of interfacial or basic residues, had the following effects. Class A peptides stabilized bilayer structure, reduced leakage from large unilamellar vesicles and erythrocytes, and inhibited lysis induced by class L peptides. Class L peptides destabilized bilayer structure in model membranes and increased binding of class A peptides to erythrocytes. The ability of class L analogs to lyse membranes and induce inverted lipid phases was reduced by either decreasing the bulk of an interfacial residue, increasing the angle subtended by the polar face, or increasing the bulk of the basic residues. The ability of the class A analog to stabilize bilayer structure and inhibit erythrocyte lysis by class L peptides was enhanced by methylating the Lys residues. These results can be explained by a model that we term the reciprocal wedge hypothesis. By analogy to the reciprocal effects of phospholipid shapes on membrane structure, we propose that the wedge shape of class A helixes stabilizes membrane bilayers, whereas the inverted wedge shape of class L helixes destabilizes membrane bilayers, and, thus, one class will neutralize the effect of the other class on membranes.

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Year:  1993        PMID: 8408070

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  21 in total

1.  Orientation of the pore-forming peptide GALA in POPC vesicles determined by a BODIPY-avidin/biotin binding assay.

Authors:  F Nicol; S Nir; F C Szoka
Journal:  Biophys J       Date:  1999-04       Impact factor: 4.033

2.  The influenza hemagglutinin fusion domain is an amphipathic helical hairpin that functions by inducing membrane curvature.

Authors:  Sean T Smrt; Adrian W Draney; Justin L Lorieau
Journal:  J Biol Chem       Date:  2014-11-14       Impact factor: 5.157

3.  Secondary structure and lipid contact of a peptide antibiotic in phospholipid bilayers by REDOR.

Authors:  Orsolya Toke; W Lee Maloy; Sung Joon Kim; Jack Blazyk; Jacob Schaefer
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

4.  Oral administration of L-mR18L, a single domain cationic amphipathic helical peptide, inhibits lesion formation in ApoE null mice.

Authors:  Shaila P Handattu; Geeta Datta; Richard M Epand; Raquel F Epand; Mayakonda N Palgunachari; Vinod K Mishra; Candyce E Monroe; Tamara D Keenum; Manjula Chaddha; G M Anantharamaiah; David W Garber
Journal:  J Lipid Res       Date:  2010-09-14       Impact factor: 5.922

Review 5.  Anti-inflammatory and cholesterol-reducing properties of apolipoprotein mimetics: a review.

Authors:  C Roger White; David W Garber; G M Anantharamaiah
Journal:  J Lipid Res       Date:  2014-08-25       Impact factor: 5.922

6.  A physicochemical approach for predicting the effectiveness of peptide-based gene delivery systems for use in plasmid-based gene therapy.

Authors:  J G Duguid; C Li; M Shi; M J Logan; H Alila; A Rolland; E Tomlinson; J T Sparrow; L C Smith
Journal:  Biophys J       Date:  1998-06       Impact factor: 4.033

7.  Closed and Semiclosed Interhelical Structures in Membrane vs Closed and Open Structures in Detergent for the Influenza Virus Hemagglutinin Fusion Peptide and Correlation of Hydrophobic Surface Area with Fusion Catalysis.

Authors:  Ujjayini Ghosh; Li Xie; Lihui Jia; Shuang Liang; David P Weliky
Journal:  J Am Chem Soc       Date:  2015-06-10       Impact factor: 15.419

Review 8.  What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?

Authors:  Ernest Y Lee; Michelle W Lee; Benjamin M Fulan; Andrew L Ferguson; Gerard C L Wong
Journal:  Interface Focus       Date:  2017-10-20       Impact factor: 3.906

9.  Osmotically induced membrane tension modulates membrane permeabilization by class L amphipathic helical peptides: nucleation model of defect formation.

Authors:  I V Polozov; G M Anantharamaiah; J P Segrest; R M Epand
Journal:  Biophys J       Date:  2001-08       Impact factor: 4.033

10.  Effect of cholesterol on bilayer location of the class A peptide Ac-18A-NH2 as revealed by fluorescence resonance energy transfer.

Authors:  Galyna Gorbenko; Tetsurou Handa; Hiroyuki Saito; Julian Molotkovsky; Masafumi Tanaka; Masashi Egashira; Minoru Nakano
Journal:  Eur Biophys J       Date:  2003-07-10       Impact factor: 1.733

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