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一种用于磷酸化肽串联质谱自动分析的分层MS2/MS3数据库搜索算法。

A hierarchical MS2/MS3 database search algorithm for automated analysis of phosphopeptide tandem mass spectra.

作者信息

Xu Hua, Wang Liwen, Sallans Larry, Freitas Michael A

机构信息

Department of Molecular Virology, Immunology and Medical Genetics, The Ohio State University, Columbus, OH, USA.

出版信息

Proteomics. 2009 Apr;9(7):1763-70. doi: 10.1002/pmic.200800282.

Abstract

A novel hierarchical MS(2)/MS(3) database search algorithm has been developed to analyze MS(2)/MS(3) phosphopeptides proteomic data. The algorithm is incorporated in an automated database search program, MassMatrix. The algorithm matches experimental MS(2) spectra against a supplied protein database to determine candidate peptide matches. It then matches the corresponding experimental MS(3) spectra against those candidate peptide matches. The MS(2) and MS(3) spectra are used in concert to arrive at peptide matches with overall higher confidence rather than combining MS(2) and MS(3) data searched separately. Receiver operating characteristic analysis showed that hierarchical MS(2)/MS(3) database searches with MassMatrix had better sensitivity and specificity than the two-stage MS(2)/MS(3) database searches obtained with MassMatrix, MASCOT, and X!Tandem. A greater number of true peptide matches at a given false rate were identified by use of this new algorithm for data collected on both LCQ and LTQ-FTICR mass spectrometers. The additional MS(3) spectral data also improved the overall reliability and the number of true positives (TPs) due to the fact that the TPs of the MS(2)/MS(3) search results had higher scores than those of the MS(2).

摘要

一种新型的分层MS(2)/MS(3)数据库搜索算法已被开发出来,用于分析MS(2)/MS(3)磷酸化肽段蛋白质组学数据。该算法被整合到一个自动化数据库搜索程序MassMatrix中。该算法将实验性MS(2)谱图与提供的蛋白质数据库进行匹配,以确定候选肽段匹配。然后将相应的实验性MS(3)谱图与那些候选肽段匹配进行匹配。MS(2)和MS(3)谱图协同使用,以获得整体置信度更高的肽段匹配,而不是将MS(2)和MS(3)数据分别进行搜索。接收器操作特征分析表明,使用MassMatrix进行分层MS(2)/MS(3)数据库搜索比使用MassMatrix、MASCOT和X!Tandem进行的两阶段MS(2)/MS(3)数据库搜索具有更好的灵敏度和特异性。对于在LCQ和LTQ-FTICR质谱仪上收集的数据,使用这种新算法在给定错误率下识别出了更多的真实肽段匹配。由于MS(2)/MS(3)搜索结果的真阳性(TP)比MS(2)的TP具有更高的分数,额外的MS(3)谱图数据也提高了整体可靠性和真阳性的数量。

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本文引用的文献

1
An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.
J Am Soc Mass Spectrom. 1994 Nov;5(11):976-89. doi: 10.1016/1044-0305(94)80016-2.
6
PepNovo: de novo peptide sequencing via probabilistic network modeling.
Anal Chem. 2005 Feb 15;77(4):964-73. doi: 10.1021/ac048788h.
8
Open source system for analyzing, validating, and storing protein identification data.
J Proteome Res. 2004 Nov-Dec;3(6):1234-42. doi: 10.1021/pr049882h.
9
Open mass spectrometry search algorithm.
J Proteome Res. 2004 Sep-Oct;3(5):958-64. doi: 10.1021/pr0499491.
10
GutenTag: high-throughput sequence tagging via an empirically derived fragmentation model.
Anal Chem. 2003 Dec 1;75(23):6415-21. doi: 10.1021/ac0347462.

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