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基于磷酸化蛋白质组学数据的跨物种蛋白质翻译后修饰图谱绘制

Cross-Species PTM Mapping from Phosphoproteomic Data.

作者信息

Chaudhuri Rima, Yang Jean Yee Hwa

机构信息

Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia.

School of Mathematics and Statistics, University of Sydney, Camperdown, NSW, 2006, Australia.

出版信息

Methods Mol Biol. 2017;1558:459-469. doi: 10.1007/978-1-4939-6783-4_22.

Abstract

Protein post-translational modifications (PTMs) are crucial for signal transduction in cells. In order to understand key cell signaling events, identification of functionally important PTMs, which are more likely to be evolutionarily conserved, is necessary. In recent times, high-throughput mass spectrometry (MS) has made quantitative datasets in diverse species readily available, which has led to a growing need for tools to facilitate cross-species comparison of PTM data. Cross-species comparison of PTM sites is difficult since they often lie in structurally disordered protein domains. Current tools that address this can only map known PTMs between species based on previously annotated orthologous phosphosites and do not enable cross-species mapping of newly identified modification sites. Here, we describe an automated web-based tool, PhosphOrtholog, that accurately maps annotated and novel orthologous PTM sites from high-throughput MS-based experimental data obtained from different species without relying on existing PTM databases. Identification of conserved PTMs across species from large-scale experimental data increases our knowledgebase of evolutionarily conserved and functional PTM sites that influence most biological processes. In this Chapter, we illustrate with examples how to use PhosphOrtholog to map novel PTM sites from cross-species MS-based phosphoproteomics data.

摘要

蛋白质翻译后修饰(PTMs)对细胞中的信号转导至关重要。为了理解关键的细胞信号事件,识别功能上重要的PTMs(更有可能在进化上保守)是必要的。近年来,高通量质谱(MS)使得不同物种的定量数据集很容易获得,这导致对促进PTM数据跨物种比较的工具的需求不断增加。PTM位点的跨物种比较很困难,因为它们通常位于结构无序的蛋白质结构域中。目前解决这个问题的工具只能基于先前注释的直系同源磷酸化位点在物种之间映射已知的PTM,而不能对新鉴定的修饰位点进行跨物种映射。在这里,我们描述了一种基于网络的自动化工具PhosphOrtholog,它可以从不同物种的基于高通量MS的实验数据中准确地映射注释的和新的直系同源PTM位点,而不依赖于现有的PTM数据库。从大规模实验数据中识别跨物种保守的PTM增加了我们关于影响大多数生物过程的进化保守和功能性PTM位点的知识库。在本章中,我们举例说明如何使用PhosphOrtholog从基于跨物种MS的磷酸蛋白质组学数据中映射新的PTM位点。

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