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Illuminating Spatial and Temporal Organization of Protein Interaction Networks by Mass Spectrometry-Based Proteomics

机译:基于质谱的蛋白质组学启发蛋白质相互作用网络的时空组织

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Protein–protein interactions are at the core of all cellular functions and dynamic alterations in protein interactions regulate cellular signaling. In the last decade, mass spectrometry (MS)-based proteomics has delivered unprecedented insights into human protein interaction networks. Affinity purification-MS (AP-MS) has been extensively employed for focused and high-throughput studies of steady state protein–protein interactions. Future challenges remain in mapping transient protein interactions after cellular perturbations as well as in resolving the spatial organization of protein interaction networks. AP-MS can be combined with quantitative proteomics approaches to determine the relative abundance of purified proteins in different conditions, thereby enabling the identification of transient protein interactions. In addition to affinity purification, methods based on protein co-fractionation have been combined with quantitative MS to map transient protein interactions during cellular signaling. More recently, approaches based on proximity tagging that preserve the spatial dimension of protein interaction networks have been introduced. Here, we provide an overview of MS-based methods for analyzing protein–protein interactions with a focus on approaches that aim to dissect the temporal and spatial aspects of protein interaction networks.
机译:蛋白质间相互作用是所有细胞功能的核心,蛋白质相互作用的动态改变调节细胞信号传导。在过去的十年中,基于质谱(MS)的蛋白质组学为人类蛋白质相互作用网络提供了前所未有的见解。亲和纯化MS(AP-MS)已广泛用于稳态蛋白质与蛋白质相互作用的重点研究和高通量研究。在绘制细胞扰动后的瞬时蛋白质相互作用以及解决蛋白质相互作用网络的空间组织方面,未来的挑战仍然存在。 AP-MS可与定量蛋白质组学方法结合使用,以确定在不同条件下纯化蛋白的相对丰度,从而能够鉴定瞬时蛋白相互作用。除亲和纯化外,基于蛋白质共分离的方法已与定量MS相结合,以绘制细胞信号传导过程中瞬时蛋白相互作用的图谱。最近,已经引入了基于邻近标签的方法,该方法保留了蛋白质相互作用网络的空间尺寸。在这里,我们提供了基于MS的用于分析蛋白质间相互作用的方法的概述,重点是旨在剖析蛋白质相互作用网络的时间和空间方面的方法。

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