Understanding the Link between Lipid Diversity and the Biophysical Properties of the Neuronal Plasma Membrane
Autor: | Katie A. Wilson, Yiechang Lin, Hugo MacDermott-Opeskin, Megan L. O'Mara, Eden Riley |
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Rok vydání: | 2020 |
Předmět: |
Models
Molecular Membrane Fluidity Lipid Bilayers Cell Phosphatidylserines Molecular Dynamics Simulation Phosphatidylinositols Biochemistry Biophysical Phenomena Cell membrane Membrane Lipids 03 medical and health sciences chemistry.chemical_compound Molecular dynamics medicine Animals Humans POPC Neurons Sphingolipids 0303 health sciences Phosphatidylethanolamines Cell Membrane 030302 biochemistry & molecular biology Sphingomyelins Cholesterol medicine.anatomical_structure Membrane chemistry Biophysics lipids (amino acids peptides and proteins) Spatiotemporal resolution |
Zdroj: | Biochemistry. 59:3010-3018 |
ISSN: | 1520-4995 0006-2960 |
Popis: | Cell membranes contain incredible diversity in the chemical structures of their individual lipid species and the ratios in which these lipids are combined to make membranes. Nevertheless, our current understanding of how each of these components affects the properties of the cell membrane remains elusive, in part due to the difficulties in studying the dynamics of membranes at high spatiotemporal resolution. In this work, we use coarse-grained molecular dynamics simulations to investigate how individual lipid species contribute to the biophysical properties of the neuronal plasma membrane. We progress through eight membranes of increasing chemical complexity, ranging from a simple POPC/CHOL membrane to a previously published neuronal plasma membrane [Ingolfsson, H. I., et al. (2017) Biophys. J. 113 (10), 2271-2280] containing 49 distinct lipid species. Our results show how subtle chemical changes can affect the properties of the membrane and highlight the lipid species that give the neuronal plasma membrane its unique biophysical properties. This work has potential far-reaching implications for furthering our understanding of cell membranes. |
Databáze: | OpenAIRE |
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