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两亲性脂质堆积传感器基序:用疏水性残基探测双层缺陷。

Amphipathic lipid packing sensor motifs: probing bilayer defects with hydrophobic residues.

机构信息

Institut de Pharmacologie Moléculaire et Cellulaire, Université de Nice Sophia-Antipolis and Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7275, Valbonne, France.

出版信息

Biophys J. 2013 Feb 5;104(3):575-84. doi: 10.1016/j.bpj.2012.11.3837.

Abstract

Sensing membrane curvature allows fine-tuning of complex reactions that occur at the surface of membrane-bound organelles. One of the most sensitive membrane curvature sensors, the Amphipathic Lipid Packing Sensor (ALPS) motif, does not seem to recognize the curved surface geometry of membranes per se; rather, it recognizes defects in lipid packing that arise from membrane bending. In a companion paper, we show that these defects can be mimicked by introducing conical lipids in a flat lipid bilayer, in agreement with experimental observations. Here, we use molecular-dynamics (MD) simulations to characterize ALPS binding to such lipid bilayers. The ALPS motif recognizes lipid-packing defects by a conserved mechanism: peptide partitioning is driven by the insertion of hydrophobic residues into large packing defects that are preformed in the bilayer. This insertion induces only minor modifications in the statistical distribution of the free packing defects. ALPS insertion is severely hampered when monounsaturated lipids are replaced by saturated lipids, leading to a decrease in packing defects. We propose that the hypersensitivity of ALPS motifs to lipid packing defects results from the repetitive use of hydrophobic insertions along the monotonous ALPS sequence.

摘要

感应膜曲率可微调发生在膜结合细胞器表面的复杂反应。最敏感的膜曲率传感器之一,两亲性脂质堆积传感器(ALPS)基序,似乎并不直接识别膜的曲面几何形状;相反,它识别由膜弯曲引起的脂质堆积缺陷。在一篇相关论文中,我们表明可以通过在平面脂质双层中引入锥形脂质来模拟这些缺陷,这与实验观察结果一致。在这里,我们使用分子动力学(MD)模拟来描述 ALPS 与这种脂质双层的结合。ALPS 基序通过保守的机制识别脂质堆积缺陷:通过将疏水性残基插入到大的堆积缺陷中来驱动肽分配,这些缺陷在双层中预先形成。这种插入仅对自由堆积缺陷的统计分布产生微小的修改。当不饱和脂质被饱和脂质取代时,ALPS 的插入会严重受阻,导致堆积缺陷减少。我们提出,ALPS 基序对脂质堆积缺陷的高度敏感性源自沿单调 ALPS 序列的重复疏水插入。

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