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蛋白质组学中的从头测序方法。

De novo sequencing methods in proteomics.

作者信息

Hughes Christopher, Ma Bin, Lajoie Gilles A

机构信息

Department of Biochemistry, University of Western Ontario, London, ON, Canada.

出版信息

Methods Mol Biol. 2010;604:105-21. doi: 10.1007/978-1-60761-444-9_8.

Abstract

The review describes methods of de novo sequencing of peptides by mass spectrometry. De novo methods utilize computational approaches to deduce the sequence or partial sequence of peptides directly from the experimental MS/MS spectra. The concepts behind a number of de novo sequencing methods are discussed. The other approach to identify peptides by tandem mass spectrometry is to match the fragment ions with virtual peptide ions generated from a genomic or protein database. De novo methods are essential to identify proteins when the genomes are not known but they are also extremely useful even when the genomes are known since they are not affected by errors in a search database. Another advantage of de novo methods is that the partial sequence can be used to search for posttranslation modifications or for the identification of mutations by homology based software.

摘要

这篇综述描述了通过质谱对肽段进行从头测序的方法。从头测序方法利用计算方法直接从实验性的串联质谱(MS/MS)谱图中推断肽段的序列或部分序列。文中讨论了多种从头测序方法背后的概念。通过串联质谱鉴定肽段的另一种方法是将碎片离子与从基因组或蛋白质数据库生成的虚拟肽离子进行匹配。当基因组未知时,从头测序方法对于鉴定蛋白质至关重要,但即使基因组已知,它们也非常有用,因为它们不受搜索数据库中错误的影响。从头测序方法的另一个优点是,部分序列可用于搜索翻译后修饰或通过基于同源性的软件鉴定突变。

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