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Stability of Bicelles: A Simulation Study

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National Centre for Biomolecular Research, Faculty of Science and CEITEC - Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00 Brno-Bohunice, Czech Republic
Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
Cite this: Langmuir 2014, 30, 15, 4229–4235
Publication Date (Web):March 26, 2014
https://doi.org/10.1021/la4048159
Copyright © 2014 American Chemical Society

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    Abstract

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    Aqueous mixtures of long-tailed lipids (e.g., dimyristoylphosphatidylcholine - DMPC) and detergents can sometimes form membrane disks called bicelles. Bicelles have found applications as an embedding medium for membrane proteins in the context of NMR studies and protein crystallization. However, the parameters that determine the thermodynamic stability of bicelles are not well understood. Here we report a coarse-grained simulation study of the relationship between lipid-aggregate morphology and the composition and temperature of the surfactant mixture. In agreement with experiments, we find that bicellar mixtures are destabilized at higher temperatures and detergents are present at membrane edges as well as in flat membranes with a strong preference for the edges. In addition, our results suggest that the free-energy difference between bicelles and the perforated lamellar phase is typically very small for molecules without intrinsic curvature and charge. Cone shaped surfactant molecules tend to favor the formation of bicelles; however, none of the systems that we have studied provide unambiguous evidence for the existence of thermodynamically stable bicelles in mixtures of uncharged lipids with long and short tails. We speculate that small changes in the properties of the system (charge, dopants) may make bicelles thermodynamically stable.

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    Short lipids as a detergent. Simulation snapshots. This material is available free of charge via the Internet at http://pubs.acs.org.

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    2. R. M. de Souza, R. H. Ratochinski, Mikko Karttunen, L. G. Dias. Self-Assembly of Phosphocholine Derivatives Using the ELBA Coarse-Grained Model: Micelles, Bicelles, and Reverse Micelles. Journal of Chemical Information and Modeling 2020, 60 (2) , 522-536. https://doi.org/10.1021/acs.jcim.9b00790
    3. Hari Sharma and Elena E. Dormidontova . Lipid Nanodisc-Templated Self-Assembly of Gold Nanoparticles into Strings and Rings. ACS Nano 2017, 11 (4) , 3651-3661. https://doi.org/10.1021/acsnano.6b08043
    4. M. J. Greenall . Disk-Shaped Bicelles in Block Copolymer/Homopolymer Blends. Macromolecules 2016, 49 (2) , 723-730. https://doi.org/10.1021/acs.macromol.5b02033
    5. Mikkel Vestergaard, Johan F. Kraft, Thomas Vosegaard, Lea Thøgersen, and Birgit Schiøtt . Bicelles and Other Membrane Mimics: Comparison of Structure, Properties, and Dynamics from MD Simulations. The Journal of Physical Chemistry B 2015, 119 (52) , 15831-15843. https://doi.org/10.1021/acs.jpcb.5b08463
    6. Maïwenn Beaugrand, Alexandre A. Arnold, Jérôme Hénin, Dror E. Warschawski, Philip T. F. Williamson, and Isabelle Marcotte . Lipid Concentration and Molar Ratio Boundaries for the Use of Isotropic Bicelles. Langmuir 2014, 30 (21) , 6162-6170. https://doi.org/10.1021/la5004353
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    10. Alzbeta Tuerkova, Ivo Kabelka, Tereza Králová, Lukáš Sukeník, Šárka Pokorná, Martin Hof, Robert Vácha. Effect of helical kink in antimicrobial peptides on membrane pore formation. eLife 2020, 9 https://doi.org/10.7554/eLife.47946
    11. Raphael Dos Santos Morais, Olivier Delalande, Javier Pérez, Dominique Mias-Lucquin, Mélanie Lagarrigue, Anne Martel, Anne-Elisabeth Molza, Angélique Chéron, Céline Raguénès-Nicol, Thomas Chenuel, Arnaud Bondon, Marie-Sousai Appavou, Elisabeth Le Rumeur, Sophie Combet, Jean-François Hubert. Human Dystrophin Structural Changes upon Binding to Anionic Membrane Lipids. Biophysical Journal 2018, 115 (7) , 1231-1239. https://doi.org/10.1016/j.bpj.2018.07.039
    12. Johannes Björnerås, Mathias Nilsson, Lena Mäler. Analysing DHPC/DMPC bicelles by diffusion NMR and multivariate decomposition. Biochimica et Biophysica Acta (BBA) - Biomembranes 2015, 1848 (11) , 2910-2917. https://doi.org/10.1016/j.bbamem.2015.09.002
    13. Kristyna Pluhackova, Rainer A. Böckmann. Biomembranes in atomistic and coarse-grained simulations. Journal of Physics: Condensed Matter 2015, 27 (32) , 323103. https://doi.org/10.1088/0953-8984/27/32/323103

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