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跨膜识别神经导向因子共受体神经纤毛蛋白 1 和丛生蛋白 A1:粗粒化模拟。

Transmembrane recognition of the semaphorin co-receptors neuropilin 1 and plexin A1: coarse-grained simulations.

机构信息

Centre de Biophysique Moléculaire, Centre National de la Recherche Scientifique UPR, Université d'Orléans, Orléans, France.

Laboratoire d'Ingénierie des Systèmes Macromoléculaires UMR, Université d'Aix-Marseille, Marseille, France.

出版信息

PLoS One. 2014 May 23;9(5):e97779. doi: 10.1371/journal.pone.0097779. eCollection 2014.

Abstract

The cancer associated class 3 semaphorins require direct binding to neuropilins and association to plexins to trigger cell signaling. Here, we address the role of the transmembrane domains of neuropilin 1 and plexin A1 for the dimerization of the two receptors by characterizing the assembly in lipid bilayers using coarse-grained molecular dynamics simulations. From experimental evidence using a two-hybrid system showing the biochemical association of the two receptors transmembrane domains, we performed molecular simulations in DOPC and POPC demonstrating spontaneously assembly to form homodimers and heterodimers with a very high propensity for right-handed packing of the helices. Inversely, left-handed packing was observed with a very low propensity. This mode of packing was observed uniquely when the plexin A1 transmembrane domain was involved in association. Potential of mean force calculations were used to predict a hierarchy of self-association for the monomers: the two neuropilin 1 transmembrane domains strongly associated, neuropilin 1 and plexin A1 transmembrane domains associated less and the two plexin A1 transmembrane domains weakly but significantly associated. We demonstrated that homodimerization and heterodimerization are driven by GxxxG motifs, and that the sequence context modulates the packing mode of the plexin A1 transmembrane domains. This work presents major advances towards our understanding of membrane signaling platforms assembly through membrane domains and provides exquisite information for the design of antagonist drugs defining a novel class of therapeutic agents.

摘要

癌症相关的 Class 3 信号素需要与神经纤毛蛋白直接结合,并与丛蛋白结合以触发细胞信号转导。在这里,我们通过使用粗粒度分子动力学模拟来研究神经纤毛蛋白 1 和丛蛋白 A1 的跨膜结构域在两个受体二聚化中的作用,以确定其在双层膜中的组装情况。根据使用双杂交系统显示两个受体跨膜结构域生化关联的实验证据,我们在 DOPC 和 POPC 中进行了分子模拟,证明它们自发组装形成同源二聚体和异源二聚体,螺旋具有非常高的右手包装倾向。相反,观察到左手包装的倾向非常低。这种包装模式仅在丛蛋白 A1 跨膜结构域参与关联时观察到。平均力势能计算用于预测单体自组装的层次结构:两个神经纤毛蛋白 1 跨膜结构域强烈相关,神经纤毛蛋白 1 和丛蛋白 A1 跨膜结构域相关较弱,两个丛蛋白 A1 跨膜结构域较弱但显著相关。我们证明了同源二聚体和异源二聚体是由 GxxxG 基序驱动的,并且序列上下文调节了丛蛋白 A1 跨膜结构域的包装模式。这项工作为我们理解通过膜结构域组装的膜信号平台提供了重大进展,并为设计定义新型治疗剂类别的拮抗剂药物提供了精确信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca83/4032258/0a177d5bde9d/pone.0097779.g001.jpg

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