Literature DB >> 26497753

Modeling Yeast Organelle Membranes and How Lipid Diversity Influences Bilayer Properties.

Viviana Monje-Galvan1, Jeffery B Klauda1.   

Abstract

Membrane lipids are important for the health and proper function of cell membranes. We have improved computational membrane models for specific organelles in yeast Saccharomyces cerevisiae to study the effect of lipid diversity on membrane structure and dynamics. Previous molecular dynamics simulations were performed by Jo et al. [(2009) Biophys J. 97, 50-58] on yeast membrane models having six lipid types with compositions averaged between the endoplasmic reticulum (ER) and the plasma membrane (PM). We incorporated ergosterol, phosphatidic acid, phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, and phosphatidylinositol lipids in our models to better describe the unique composition of the PM, ER, and trans-Golgi network (TGN) bilayers of yeast. Our results describe membrane structure based on order parameters (SCD), electron density profiles (EDPs), and lipid packing. The average surface area per lipid decreased from 63.8 ± 0.4 Å(2) in the ER to 47.1 ± 0.3 Å(2) in the PM, while the compressibility modulus (KA) varied in the opposite direction. The high SCD values for the PM lipids indicated a more ordered bilayer core, while the corresponding lipids in the ER and TGN models had lower parameters by a factor of at least 0.7. The hydrophobic core thickness (2DC) as estimated from EDPs is the thickest for PM, which is in agreement with estimates of hydrophobic regions of transmembrane proteins from the Orientation of Proteins in Membranes database. Our results show the importance of lipid diversity and composition on a bilayer's structural and mechanical properties, which in turn influences interactions with the proteins and membrane-bound molecules.

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Year:  2015        PMID: 26497753     DOI: 10.1021/acs.biochem.5b00718

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  16 in total

1.  Computer simulations of protein-membrane systems.

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Authors:  Ya Gao; Jumin Lee; Iain Peter Shand Smith; Hwayoung Lee; Seonghoon Kim; Yifei Qi; Jeffery B Klauda; Göran Widmalm; Syma Khalid; Wonpil Im
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3.  PackMem: A Versatile Tool to Compute and Visualize Interfacial Packing Defects in Lipid Bilayers.

Authors:  Romain Gautier; Amélie Bacle; Marion L Tiberti; Patrick F Fuchs; Stefano Vanni; Bruno Antonny
Journal:  Biophys J       Date:  2018-07-05       Impact factor: 4.033

4.  Molecular interactions of the M and E integral membrane proteins of SARS-CoV-2.

Authors:  Viviana Monje-Galvan; Gregory A Voth
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5.  Simulation Best Practices for Lipid Membranes [Article v1.0].

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6.  Semi-automated Optimization of the CHARMM36 Lipid Force Field to Include Explicit Treatment of Long-Range Dispersion.

Authors:  Yalun Yu; Andreas Krämer; Richard M Venable; Andrew C Simmonett; Alexander D MacKerell; Jeffery B Klauda; Richard W Pastor; Bernard R Brooks
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7.  Protein acylation by saturated very long chain fatty acids and endocytosis are involved in necroptosis.

Authors:  Apoorva J Pradhan; Daniel Lu; Laura R Parisi; Shichen Shen; Ilyas A Berhane; Samuel L Galster; Kiana Bynum; Viviana Monje-Galvan; Omer Gokcumen; Sherry R Chemler; Jun Qu; Jason G Kay; G Ekin Atilla-Gokcumen
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Review 8.  Computational Modeling of Realistic Cell Membranes.

Authors:  Siewert J Marrink; Valentina Corradi; Paulo C T Souza; Helgi I Ingólfsson; D Peter Tieleman; Mark S P Sansom
Journal:  Chem Rev       Date:  2019-01-09       Impact factor: 72.087

9.  Broad-spectrum antiviral agents: secreted phospholipase A2 targets viral envelope lipid bilayers derived from the endoplasmic reticulum membrane.

Authors:  Ming Chen; Chie Aoki-Utsubo; Masanori Kameoka; Lin Deng; Yutaka Terada; Wataru Kamitani; Kei Sato; Yoshio Koyanagi; Makoto Hijikata; Keiko Shindo; Takeshi Noda; Michinori Kohara; Hak Hotta
Journal:  Sci Rep       Date:  2017-11-21       Impact factor: 4.379

Review 10.  Insights into the antiviral activity of phospholipases A2 (PLA2s) from snake venoms.

Authors:  S C Teixeira; B C Borges; V Q Oliveira; L S Carregosa; L A Bastos; I A Santos; A C G Jardim; F F Melo; L M Freitas; V M Rodrigues; D S Lopes
Journal:  Int J Biol Macromol       Date:  2020-07-19       Impact factor: 6.953

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