Literature DB >> 16214859

Transmembrane peptides stabilize inverted cubic phases in a biphasic length-dependent manner: implications for protein-induced membrane fusion.

D P Siegel1, V Cherezov, D V Greathouse, R E Koeppe, J Antoinette Killian, M Caffrey.   

Abstract

WALP peptides consist of repeating alanine-leucine sequences of different lengths, flanked with tryptophan "anchors" at each end. They form membrane-spanning alpha-helices in lipid membranes, and mimic protein transmembrane domains. WALP peptides of increasing length, from 19 to 31 amino acids, were incorporated into N-monomethylated dioleoylphosphatidylethanolamine (DOPE-Me) at concentrations up to 0.5 mol % peptide. When pure DOPE-Me is heated slowly, the lamellar liquid crystalline (L(alpha)) phase first forms an inverted cubic (Q(II)) phase, and the inverted hexagonal (H(II)) phase at higher temperatures. Using time-resolved x-ray diffraction and slow temperature scans (1.5 degrees C/h), WALP peptides were shown to decrease the temperatures of Q(II) and H(II) phase formation (T(Q) and T(H), respectively) as a function of peptide concentration. The shortest and longest peptides reduced T(Q) the most, whereas intermediate lengths had weaker effects. These findings are relevant to membrane fusion because the first step in the L(alpha)/Q(II) phase transition is believed to be the formation of fusion pores between pure lipid membranes. These results imply that physiologically relevant concentrations of these peptides could increase the susceptibility of biomembrane lipids to fusion through an effect on lipid phase behavior, and may explain one role of the membrane-spanning domains in the proteins that mediate membrane fusion.

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Year:  2005        PMID: 16214859      PMCID: PMC1367019          DOI: 10.1529/biophysj.105.070466

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  70 in total

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Authors:  D Langosch; B Brosig; R Pipkorn
Journal:  J Biol Chem       Date:  2001-06-19       Impact factor: 5.157

2.  Peptide mimics of SNARE transmembrane segments drive membrane fusion depending on their conformational plasticity.

Authors:  D Langosch; J M Crane; B Brosig; A Hellwig; L K Tamm; J Reed
Journal:  J Mol Biol       Date:  2001-08-24       Impact factor: 5.469

3.  Amino acid sequence requirements of the transmembrane and cytoplasmic domains of influenza virus hemagglutinin for viable membrane fusion.

Authors:  G B Melikyan; S Lin; M G Roth; F S Cohen
Journal:  Mol Biol Cell       Date:  1999-06       Impact factor: 4.138

Review 4.  Structure of the inverted hexagonal (HII) phase, and non-lamellar phase transitions of lipids.

Authors:  J M Seddon
Journal:  Biochim Biophys Acta       Date:  1990-02-28

5.  Secondary structure, orientation, oligomerization, and lipid interactions of the transmembrane domain of influenza hemagglutinin.

Authors:  S A Tatulian; L K Tamm
Journal:  Biochemistry       Date:  2000-01-25       Impact factor: 3.162

6.  Intermediates in membrane fusion and bilayer/nonbilayer phase transitions imaged by time-resolved cryo-transmission electron microscopy.

Authors:  D P Siegel; J L Burns; M H Chestnut; Y Talmon
Journal:  Biophys J       Date:  1989-07       Impact factor: 4.033

7.  Lamellar/inverted cubic (L alpha/QII) phase transition in N-methylated dioleoylphosphatidylethanolamine.

Authors:  D P Siegel; J L Banschbach
Journal:  Biochemistry       Date:  1990-06-26       Impact factor: 3.162

8.  The kinetics of non-lamellar phase formation in DOPE-Me: relevance to biomembrane fusion.

Authors:  V Cherezov; D P Siegel; W Shaw; S W Burgess; M Caffrey
Journal:  J Membr Biol       Date:  2003-10-01       Impact factor: 1.843

Review 9.  Lipid polymorphism and protein-lipid interactions.

Authors:  R M Epand
Journal:  Biochim Biophys Acta       Date:  1998-11-10

10.  Hydrophobic mismatch between helices and lipid bilayers.

Authors:  Thomas M Weiss; Patrick C A van der Wel; J Antoinette Killian; Roger E Koeppe; Huey W Huang
Journal:  Biophys J       Date:  2003-01       Impact factor: 4.033

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  17 in total

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2.  The Gaussian curvature elastic energy of intermediates in membrane fusion.

Authors:  David P Siegel
Journal:  Biophys J       Date:  2008-09-19       Impact factor: 4.033

Review 3.  Orientation and dynamics of transmembrane peptides: the power of simple models.

Authors:  Andrea Holt; J Antoinette Killian
Journal:  Eur Biophys J       Date:  2009-12-18       Impact factor: 1.733

4.  Curvature forces in membrane lipid-protein interactions.

Authors:  Michael F Brown
Journal:  Biochemistry       Date:  2012-11-27       Impact factor: 3.162

5.  Single tryptophan and tyrosine comparisons in the N-terminal and C-terminal interface regions of transmembrane GWALP peptides.

Authors:  Nicholas J Gleason; Denise V Greathouse; Christopher V Grant; Stanley J Opella; Roger E Koeppe
Journal:  J Phys Chem B       Date:  2013-10-29       Impact factor: 2.991

6.  Determining the ratio of the Gaussian curvature and bending elastic moduli of phospholipids from Q(II) phase unit cell dimensions.

Authors:  David P Siegel
Journal:  Biophys J       Date:  2006-04-28       Impact factor: 4.033

7.  A protocol for preparing explicitly solvated systems for stable molecular dynamics simulations.

Authors:  Daniel R Roe; Bernard R Brooks
Journal:  J Chem Phys       Date:  2020-08-07       Impact factor: 3.488

8.  Dynamic Heterogeneous Dielectric Generalized Born (DHDGB): An implicit membrane model with a dynamically varying bilayer thickness.

Authors:  Afra Panahi; Michael Feig
Journal:  J Chem Theory Comput       Date:  2013-03-12       Impact factor: 6.006

Review 9.  Coarse grained molecular dynamics simulations of transmembrane protein-lipid systems.

Authors:  Peter Spijker; Bram van Hoof; Michel Debertrand; Albert J Markvoort; Nagarajan Vaidehi; Peter A J Hilbers
Journal:  Int J Mol Sci       Date:  2010-06-09       Impact factor: 5.923

Review 10.  Developing advanced X-ray scattering methods combined with crystallography and computation.

Authors:  J Jefferson P Perry; John A Tainer
Journal:  Methods       Date:  2013-01-29       Impact factor: 3.608

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