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关于 P 型 Cu(+)-ATP 酶的变构调节。

On allosteric modulation of P-type Cu(+)-ATPases.

机构信息

Centre for Membrane Pumps in Cells and Disease (PUMPkin), Danish National Research Foundation, Department of Molecular Biology and Genetics, Aarhus University, Gustav Wieds Vej 10C, DK-8000 Aarhus C, Denmark.

出版信息

J Mol Biol. 2013 Jul 10;425(13):2299-308. doi: 10.1016/j.jmb.2013.03.008. Epub 2013 Mar 13.

Abstract

P-type ATPases perform active transport of various compounds across biological membranes and are crucial for ion homeostasis and the asymmetric composition of lipid bilayers. Although their functional cycle share principles of phosphoenzyme intermediates, P-type ATPases also show subclass-specific sequence motifs and structural elements that are linked to transport specificity and mechanistic modulation. Here we provide an overview of the Cu(+)-transporting ATPases (of subclass PIB) and compare them to the well-studied sarco(endo)plasmic reticulum Ca(2+)-ATPase (of subclass PIIA). Cu(+) ions in the cell are delivered by soluble chaperones to Cu(+)-ATPases, which expose a putative "docking platform" at the intracellular interface. Cu(+)-ATPases also contain heavy-metal binding domains providing a basis for allosteric control of pump activity. Database analysis of Cu(+) ligating residues questions a two-site model of intramembranous Cu(+) binding, and we suggest an alternative role for the proposed second site in copper translocation and proton exchange. The class-specific features demonstrate that topological diversity in P-type ATPases may tune a general energy coupling scheme to the translocation of compounds with remarkably different properties.

摘要

P 型 ATP 酶通过主动运输将各种化合物穿过生物膜,并对离子平衡和脂双层的不对称组成至关重要。尽管它们的功能循环具有磷酸酶中间体的原则,但 P 型 ATP 酶也显示出亚类特异性的序列基序和结构元素,这些元素与运输特异性和机械调节相关。在这里,我们提供了铜(+)转运 ATP 酶(亚类 PIB)的概述,并将其与研究充分的肌浆内质网 Ca(2+)-ATP 酶(亚类 PIIA)进行了比较。细胞中的 Cu(+)离子由可溶性伴侣递送至 Cu(+)-ATP 酶,该酶在细胞内界面上暴露一个假定的“对接平台”。Cu(+)-ATP 酶还包含重金属结合结构域,为泵活性的变构控制提供了基础。对 Cu(+)配体残基的数据库分析对跨膜 Cu(+)结合的双位点模型提出了质疑,我们建议拟议的第二位点在铜转运和质子交换中的替代作用。这种类特异性特征表明,P 型 ATP 酶的拓扑多样性可能会根据化合物的不同性质来调整通用的能量偶联方案。

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