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神经元质膜的计算脂质组学

Computational Lipidomics of the Neuronal Plasma Membrane.

作者信息

Ingólfsson Helgi I, Carpenter Timothy S, Bhatia Harsh, Bremer Peer-Timo, Marrink Siewert J, Lightstone Felice C

机构信息

Biosciences and Biotechnology Division, Physical and Life Sciences Directorate.

Center for Applied Scientific Computing (CASC), Computational Directorate, Lawrence Livermore National Laboratory, Livermore, California.

出版信息

Biophys J. 2017 Nov 21;113(10):2271-2280. doi: 10.1016/j.bpj.2017.10.017. Epub 2017 Nov 4.

Abstract

Membrane lipid composition varies greatly within submembrane compartments, different organelle membranes, and also between cells of different cell stage, cell and tissue types, and organisms. Environmental factors (such as diet) also influence membrane composition. The membrane lipid composition is tightly regulated by the cell, maintaining a homeostasis that, if disrupted, can impair cell function and lead to disease. This is especially pronounced in the brain, where defects in lipid regulation are linked to various neurological diseases. The tightly regulated diversity raises questions on how complex changes in composition affect overall bilayer properties, dynamics, and lipid organization of cellular membranes. Here, we utilize recent advances in computational power and molecular dynamics force fields to develop and test a realistically complex human brain plasma membrane (PM) lipid model and extend previous work on an idealized, "average" mammalian PM. The PMs showed both striking similarities, despite significantly different lipid composition, and interesting differences. The main differences in composition (higher cholesterol concentration and increased tail unsaturation in brain PM) appear to have opposite, yet complementary, influences on many bilayer properties. Both mixtures exhibit a range of dynamic lipid lateral inhomogeneities ("domains"). The domains can be small and transient or larger and more persistent and can correlate between the leaflets depending on lipid mixture, Brain or Average, as well as on the extent of bilayer undulations.

摘要

膜脂组成在亚膜区室、不同细胞器膜内差异很大,在不同细胞阶段、细胞和组织类型以及生物体的细胞之间也存在差异。环境因素(如饮食)也会影响膜的组成。膜脂组成受到细胞的严格调控,维持着一种内稳态,一旦这种内稳态被破坏,就会损害细胞功能并导致疾病。这在大脑中尤为明显,脂质调节缺陷与各种神经疾病有关。这种严格调控的多样性引发了关于组成的复杂变化如何影响细胞膜的整体双层性质、动力学和脂质组织的问题。在这里,我们利用计算能力和分子动力学力场的最新进展,开发并测试了一个实际复杂的人脑质膜(PM)脂质模型,并扩展了之前关于理想化的“平均”哺乳动物质膜的研究工作。尽管脂质组成有显著差异,但这些质膜显示出惊人的相似性和有趣的差异。组成上的主要差异(脑质膜中胆固醇浓度较高且尾部不饱和度增加)似乎对许多双层性质有相反但互补的影响。两种混合物都表现出一系列动态脂质横向不均匀性(“结构域”)。这些结构域可以很小且短暂,也可以更大且更持久,并且根据脂质混合物(脑或平均)以及双层波动程度,在小叶之间可能存在相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf5/5700369/d3c40bf00cf7/gr1.jpg

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