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混合搜索:一种用于蛋白质组学修饰发现的质谱图库搜索方法。

The Hybrid Search: A Mass Spectral Library Search Method for Discovery of Modifications in Proteomics.

作者信息

Burke Meghan C, Mirokhin Yuri A, Tchekhovskoi Dmitrii V, Markey Sanford P, Heidbrink Thompson Jenny, Larkin Christopher, Stein Stephen E

机构信息

Mass Spectrometry Data Center, National Institute of Standards and Technology , 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.

Analytical Sciences, MedImmune LLC , One MedImmune Way, Gaithersburg, Maryland 20878, United States.

出版信息

J Proteome Res. 2017 May 5;16(5):1924-1935. doi: 10.1021/acs.jproteome.6b00988. Epub 2017 Apr 11.

Abstract

We present a mass spectral library-based method to identify tandem mass spectra of peptides that contain unanticipated modifications and amino acid variants. We describe this as a "hybrid" method because it combines matching both ion m/z and mass losses. The mass loss is the difference between the mass of an ion peak and the mass of its precursor. This difference, termed DeltaMass, is used to shift the product ions in the library spectrum that contain the modification, thereby allowing library product ions that contain the unexpected modification to match the query spectrum. Clustered unidentified spectra from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and Chinese hamster ovary cells were used to evaluate this method. The results demonstrate the ability of the hybrid method to identify unanticipated modifications, insertions, and deletions, which may include those due to an incomplete protein sequence database or to search settings that exclude the correct identification, in high-resolution tandem mass spectra without regard to their precursor mass. This has been made possible by indexing of the m/z value of each fragment ion and its difference in mass from its precursor ion.

摘要

我们提出了一种基于质谱库的方法,用于识别包含意外修饰和氨基酸变体的肽段的串联质谱。我们将此描述为一种“混合”方法,因为它结合了离子质荷比(m/z)和质量损失的匹配。质量损失是离子峰质量与其前体质量之间的差值。这个差值,称为DeltaMass,用于移动库谱中包含修饰的产物离子,从而使包含意外修饰的库产物离子能够与查询谱匹配。来自临床蛋白质组肿瘤分析联盟(CPTAC)和中国仓鼠卵巢细胞的聚类未鉴定谱用于评估该方法。结果表明,这种混合方法能够在不考虑前体质量的情况下,在高分辨率串联质谱中识别意外的修饰、插入和缺失,这些可能包括由于蛋白质序列数据库不完整或搜索设置排除正确识别而导致的情况。这通过对每个碎片离子的m/z值及其与前体离子的质量差进行索引得以实现。

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