Lipid-Protein Interactions Are Unique Fingerprints for Membrane Proteins

被引:223
作者
Corradi, Valentina [1 ,2 ]
Mendez-Villuendas, Eduardo [1 ,2 ]
Ingolfsson, Helgi I. [3 ,4 ]
Gu, Ruo-Xu [1 ,2 ]
Siuda, Iwona [1 ,2 ]
Melo, Manuel N. [3 ,4 ]
Moussatova, Anastassiia [1 ,2 ]
DeGagne, Lucien J. [1 ,2 ]
Sejdiu, Besian I. [1 ,2 ]
Singh, Gurpreet [1 ,2 ]
Wassenaar, Tsjerk A. [3 ,4 ]
Magnero, Karelia Delgado [1 ,2 ]
Marrink, Siewert J. [3 ,4 ]
Tieleman, D. Peter [1 ,2 ]
机构
[1] Univ Calgary, Ctr Mol Simulat, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
[2] Univ Calgary, Dept Biol Sci, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
[3] Univ Groningen, Groningen Biomol Sci & Biotechnol Inst, Nijenborgh 7, NL-9747 AG Groningen, Netherlands
[4] Univ Groningen, Zernike Inst Adv Mat, Nijenborgh 7, NL-9747 AG Groningen, Netherlands
基金
加拿大创新基金会; 加拿大健康研究院; 加拿大自然科学与工程研究理事会;
关键词
MOLECULAR-DYNAMICS SIMULATIONS; MARTINI FORCE-FIELD; CRYSTAL-STRUCTURE; BINDING-SITES; COMPUTATIONAL LIPIDOMICS; DOMAIN FORMATION; K+ CHANNEL; MODEL; CHOLESTEROL; ORGANIZATION;
D O I
10.1021/acscentsci.8b00143
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Cell membranes contain hundreds of different proteins and lipids in an asymmetric arrangement. Our current understanding of the detailed organization of cell membranes remains rather elusive, because of the challenge to study fluctuating nanoscale assemblies of lipids and proteins with the required spatiotemporal resolution. Here, we use molecular dynamics simulations to characterize the lipid environment of 10 different membrane proteins. To provide a realistic lipid environment, the proteins are embedded in a model plasma membrane, where more than 60 lipid species are represented, asymmetrically distributed between the leaflets. The simulations detail how each protein modulates its local lipid environment in a unique way, through enrichment or depletion of specific lipid components, resulting in thickness and curvature gradients. Our results provide a molecular glimpse of the complexity of lipid-protein interactions, with potentially far-reaching implications for our understanding of the overall organization of real cell membranes.
引用
收藏
页码:709 / 717
页数:9
相关论文
共 109 条
  • [61] Refined structures of mouse P-glycoprotein
    Li, Jingzhi
    Jaimes, Kimberly F.
    Aller, Stephen G.
    [J]. PROTEIN SCIENCE, 2014, 23 (01) : 34 - 46
  • [62] Lipid Rafts As a Membrane-Organizing Principle
    Lingwood, Daniel
    Simons, Kai
    [J]. SCIENCE, 2010, 327 (5961) : 46 - 50
  • [63] Membrane proteins, detergents and crystals: what is the state of the art?
    Loll, Patrick J.
    [J]. ACTA CRYSTALLOGRAPHICA SECTION F-STRUCTURAL BIOLOGY COMMUNICATIONS, 2014, 70 : 1576 - 1583
  • [64] Martini Force Field Parameters for Glycolipids
    Lopez, Cesar A.
    Sovova, Zofie
    van Eerden, Floris J.
    de Vries, Alex H.
    Marrink, Siewert J.
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (03) : 1694 - 1708
  • [65] Gangliosides in cell recognition and membrane protein regulation
    Lopez, Pablo H. H.
    Schnaar, Ronald L.
    [J]. CURRENT OPINION IN STRUCTURAL BIOLOGY, 2009, 19 (05) : 549 - 557
  • [66] Loura LMS, 2010, EUR BIOPHYS J BIOPHY, V39, P565, DOI [10.1007/s00249-009-0532-z, 10.1007/s00249-010-0580-4]
  • [67] The challenges of understanding glycolipid functions: An open outlook based on molecular simulations
    Manna, Moutusi
    Rog, Tomasz
    Vattulainen, Ilpo
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR AND CELL BIOLOGY OF LIPIDS, 2014, 1841 (08): : 1130 - 1145
  • [68] Impact of Lipid Composition and Receptor Conformation on the Spatio-temporal Organization of μ-Opioid Receptors in a Multi-component Plasma Membrane Model
    Marino, Kristen A.
    Prada-Gracia, Diego
    Provasi, Davide
    Filizola, Marta
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2016, 12 (12)
  • [69] The MARTINI force field: Coarse grained model for biomolecular simulations
    Marrink, Siewert J.
    Risselada, H. Jelger
    Yefimov, Serge
    Tieleman, D. Peter
    de Vries, Alex H.
    [J]. JOURNAL OF PHYSICAL CHEMISTRY B, 2007, 111 (27) : 7812 - 7824
  • [70] Perspective on the Martini model
    Marrink, Siewert J.
    Tieleman, D. Peter
    [J]. CHEMICAL SOCIETY REVIEWS, 2013, 42 (16) : 6801 - 6822