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利用蛋白质相互作用报告技术提高化学交联肽快速鉴定的策略。

Improved strategies for rapid identification of chemically cross-linked peptides using protein interaction reporter technology.

机构信息

Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.

出版信息

J Proteome Res. 2010 Dec 3;9(12):6323-33. doi: 10.1021/pr100572u. Epub 2010 Nov 10.

Abstract

Protein interaction reporter (PIR) technology can enable identification of in vivo protein interactions with the use of specialized chemical cross-linkers, liquid chromatography, and high-resolution mass spectrometry. PIR-cross-linkers contain labile bonds that are specifically fragmented under low energy collision or photodissociation conditions in the mass spectrometer source, thus releasing cross-linked peptides. Successful analysis of PIR-cross-linked proteins requires the use of expected mathematical relationships between cross-linked complexes and released peptides after fragmentation of the labile PIR bonds. Presented here is a next-generation software tool, BLinks, for use in the analysis and identification of PIR-cross-linked proteins. BLinks is an advancement beyond our previous efforts by incorporation of chromatographic profiles that must match between cross-linked complexes and released peptides to enable estimation of p-values to help filter true relationships from complex data sets. Additionally, BLinks was used to incorporate Mascot database searching results from subsequent MS/MS analysis of the released peptides to facilitate identification of cross-linked proteins. BLinks was used in the analysis of human serum albumin, and 46 interpeptide relationships were found spanning 30 proximal residues with a 2.2% false discovery rate. BLinks was also used to track peptides involved in multiple, coeluting relationships that make accurate identification of protein interactions difficult. An additional 10 interpeptide relationships were identified despite poor correlation using the profiling tools provided with BLinks. Additionally, BLinks can be used to globally map all interpeptide relationships from the data analysis and customize subsequent analysis to target specific peptides of interest, thus making it a useful tool for both discovery of protein interactions and mapping protein topology.

摘要

蛋白质相互作用报告(PIR)技术可以使用专门的化学交联剂、液相色谱和高分辨率质谱来鉴定体内蛋白质相互作用。PIR 交联剂含有不稳定的键,在质谱仪源中的低能量碰撞或光解条件下会特异性断裂,从而释放交联肽。成功分析 PIR 交联蛋白需要使用在不稳定的 PIR 键断裂后,交联复合物和释放肽之间预期的数学关系。这里介绍了一种下一代软件工具 BLinks,用于分析和鉴定 PIR 交联蛋白。BLinks 是我们之前努力的一个进步,通过结合交联复合物和释放肽之间必须匹配的色谱图,来估计 p 值,以帮助从复杂的数据集过滤真实的关系。此外,BLinks 还用于整合随后对释放肽进行 MS/MS 分析的 Mascot 数据库搜索结果,以促进交联蛋白的鉴定。BLinks 用于分析人血清白蛋白,发现了 46 个跨肽关系,跨越 30 个近端残基,假发现率为 2.2%。BLinks 还用于跟踪涉及多个共洗脱关系的肽,这些关系使得准确鉴定蛋白质相互作用变得困难。尽管使用 BLinks 提供的分析工具相关性较差,但仍鉴定出 10 个跨肽关系。此外,BLinks 可用于从数据分析全局映射所有跨肽关系,并自定义后续分析以针对特定感兴趣的肽,从而使其成为发现蛋白质相互作用和映射蛋白质拓扑结构的有用工具。

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