分拣蛋白对内膜区的识别和重塑。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-02-24 DOI:10.1016/j.bbamem.2024.184305
Michael Overduin, Rakesh Bhat
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引用次数: 0

摘要

蛋白脂质代码决定了细胞膜蛋白质如何找到并重塑膜表面。在这里,我们研究了分拣蛋白 Snx1 和 Snx3 是如何实现这一过程的。这两种蛋白都能识别富含 3-磷酸肌醇(PI3P)、磷脂酰丝氨酸(PS)和胆固醇的膜区,从而形成分拣机。这种共定位组合形成了一种独特的 "脂质密码子 "或脂质子,我们认为这种密码子负责内体靶向,其结构和基于 PX 结构域的读取器的相互作用揭示了这一点。我们概述了 Snx1 和 Snx3 的膜识别和重塑机制,该机制涉及该密码元件以及跨膜 pH 梯度、偶极矩引导的对接和特定的蛋白质-蛋白质相互作用。这就产生了最初的膜蛋白组装(memtein),然后招募 retromer 和其他 PX 蛋白,招募细胞表面受体,将其分类到跨高尔基网络(TGN)、溶酶体和质膜。翻译后修饰(PTM)网络似乎调节着各层次分拣机的形成和运行方式。这些分拣接头蛋白之间的共性和差异显示了蛋白脂质代码是如何协调从核糖体出现到细胞器形成的分子信息平行流动的,并揭示了一个普遍适用的膜模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Recognition and remodeling of endosomal zones by sorting nexins

The proteolipid code determines how cytosolic proteins find and remodel membrane surfaces. Here, we investigate how this process works with sorting nexins Snx1 and Snx3. Both proteins form sorting machines by recognizing membrane zones enriched in phosphatidylinositol 3-phosphate (PI3P), phosphatidylserine (PS) and cholesterol. This co-localized combination forms a unique “lipid codon” or lipidon that we propose is responsible for endosomal targeting, as revealed by structures and interactions of their PX domain-based readers. We outline a membrane recognition and remodeling mechanism for Snx1 and Snx3 involving this code element alongside transmembrane pH gradients, dipole moment-guided docking and specific protein-protein interactions. This generates an initial membrane-protein assembly (memtein) that then recruits retromer and additional PX proteins to recruit cell surface receptors for sorting to the trans-Golgi network (TGN), lysosome and plasma membranes. Post-translational modification (PTM) networks appear to regulate how the sorting machines form and operate at each level. The commonalities and differences between these sorting nexins show how the proteolipid code orchestrates parallel flows of molecular information from ribosome emergence to organelle genesis, and illuminates a universally applicable model of the membrane.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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