Lateral Pressure Profiles in Lipid Membranes: Dependence on Molecular Composition
- 19 July 2010
- book chapter
- Published by Royal Society of Chemistry (RSC)
Abstract
The lateral pressure profile is one of the central quantities of lipid membranes, as it governs membrane elasticity and consequently the activation of certain membrane protein types such as mechanosensitive channels. Nonetheless, the understanding of the dependence of the pressure profile on molecular membrane composition is limited. In this review, we discuss the present understanding of pressure profiles in model membranes, discussing data from both computational and experimental approaches that have dealt with this complex physical observable. We consider pressure profiles in both single- and many-component lipid membranes, paying attention to effects due to polyunsaturated lipids, sterols, and anesthetics. The role of the pressure profile in membrane elasticity and membrane protein activation is given particular attention.Keywords
This publication has 94 references indexed in Scilit:
- The Influence of 1-Alkanols and External Pressure on the Lateral Pressure Profiles of Lipid BilayersBiophysical Journal, 2008
- The Gaussian Curvature Elastic Energy of Intermediates in Membrane FusionBiophysical Journal, 2008
- The molecular mechanism of lipid monolayer collapseProceedings of the National Academy of Sciences, 2008
- Protein modulation of lipids, and vice-versa, in membranesPublished by Elsevier ,2008
- Lateral Pressure Profile, Spontaneous Curvature Frustration, and the Incorporation and Conformation of Proteins in MembranesBiophysical Journal, 2007
- Assessing the Nature of Lipid Raft MembranesPLoS Computational Biology, 2007
- Alcohols Reduce Lateral Membrane Pressures: Predictions from Molecular TheoryBiophysical Journal, 2006
- Curvature and Hydrophobic Forces Drive Oligomerization and Modulate Activity of Rhodopsin in MembranesBiophysical Journal, 2006
- Lipid rafts: contentious only from simplistic standpointsNature Reviews Molecular Cell Biology, 2006
- GROMACS: Fast, flexible, and freeJournal of Computational Chemistry, 2005