Phosphoproteomics toolbox: Computational biology, protein chemistry and mass spectrometry

被引:48
作者
Hjerrild, Majbrit [1 ]
Gammeltoft, Steen [1 ]
机构
[1] Glostrup Cty Hosp, Dept Clin Biochem, DK-2600 Glostrup, Denmark
关键词
phosphoproteomics; phosphorylation; bioinformatics; mass spectrometry;
D O I
10.1016/j.febslet.2006.07.068
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Protein phosphorylation is important for regulation of most biological functions and up to 50% of all proteins are thought to be modified by protein kinases. Increased knowledge about potential phosphorylation of a protein may increase our understanding of the molecular processes in which it takes part. Despite the importance of protein phosphorylation, identification of phosphoproteins and localization of phosphorylation sites is still a major challenge in proteomics. However, high-throughput methods for identification of phosphoproteins are being developed, in particular within the fields of bioinformatics and mass spectrometry. In this review, we present a toolbox of current technology applied in phosphoproteomics including computational prediction, chemical approaches and mass spectrometry-based analysis, and propose an integrated strategy for experimental phosphoproteomics. (c) 2006 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:4764 / 4770
页数:7
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