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多重邻近生物素化结合质谱法用于定义整合素黏附复合物。

Multiplexed Proximity Biotinylation Coupled to Mass Spectrometry for Defining Integrin Adhesion Complexes.

机构信息

Faculty of Biology, Medicine & Health, Wellcome Centre for Cell-Matrix Research, Manchester Academic Health Science Centre, University of Manchester, Michael Smith Building, Oxford Road, Manchester, United Kingdom.

出版信息

Curr Protoc Cell Biol. 2020 Sep;88(1):e113. doi: 10.1002/cpcb.113.

DOI:10.1002/cpcb.113
PMID:32833344
Abstract

BioID, a proximity biotinylation technique, offers a valuable approach to examine the interactions occurring within protein complexes that complements traditional protein biochemical methods. BioID has various advantages that are beneficial to the study of complexes, including an ability to detect insoluble and transient proteins. We have applied BioID to the study of integrin adhesion complexes (IACs), which are located at the junction between the plasma membrane and actin cytoskeleton. The use of multiple BioID baits enables a complex-wide, spatial annotation of IACs, which in turn facilitates the detection of novel proximal interactors and provides insights into IAC architecture. This article describes the labeling and affinity purification of IAC-proximal proteins and their analysis by label-free quantitative mass spectrometry. The article also outlines steps to identify high-confidence proximity interactors, and to interrogate the topology and functional relevance of proximity interaction networks through bioinformatic analyses. © 2020 The Authors. Basic Protocol 1: Proximity biotinylation of integrin adhesion complex components Basic Protocol 2: Mass spectrometry data processing by MaxQuant and detection of high-confidence proximal interactors Basic Protocol 3: Bioinformatic analysis and data visualization.

摘要

BioID 是一种邻近生物素标记技术,为研究蛋白质复合物内发生的相互作用提供了一种有价值的方法,补充了传统的蛋白质生化方法。BioID 具有许多优点,有利于复合物的研究,包括能够检测不溶性和瞬时蛋白质的能力。我们已经将 BioID 应用于整合素粘附复合物(IAC)的研究,IAC 位于质膜和肌动蛋白细胞骨架的连接处。使用多个 BioID 诱饵可以对 IAC 进行全范围的空间注释,从而有助于检测新的近端相互作用物,并深入了解 IAC 结构。本文描述了 IAC 附近蛋白质的标记和亲和纯化及其通过无标记定量质谱分析。本文还概述了识别高可信度邻近相互作用物的步骤,并通过生物信息学分析研究邻近相互作用网络的拓扑结构和功能相关性。© 2020 作者。基础方案 1:整合素粘附复合物成分的邻近生物素标记基础方案 2:通过 MaxQuant 进行质谱数据处理和检测高可信度邻近相互作用物基础方案 3:生物信息学分析和数据可视化。

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Curr Protoc Cell Biol. 2020 Sep;88(1):e113. doi: 10.1002/cpcb.113.
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