Computational phosphoproteomics: From identification to localization. Issue 5 (17th February 2015)

• Record Type: Journal Article
• Authors: Lee, Dave C. H.; Jones, Andrew R.; Hubbard, Simon J.
• Editors: Dunn, Michael J.
• Is Part Of: Proteomics. Volume 15:Issue 5/6(2015:Mar.)
• Page Start: 950
• Page End: 963
• Publication Date: 2015-02-17
• Subjects: Bioinformatics -- Data processing and analysis -- Phosphoproteomics -- Technology; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201400372
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract : Analysis of the phosphoproteome by MS has become a key technology for the characterization of dynamic regulatory processes in the cell, since kinase and phosphatase action underlie many major biological functions. However, the addition of a phosphate group to a suitable side chain often confounds informatic analysis by generating product ion spectra that are more difficult to interpret (and consequently identify) relative to unmodified peptides. Collectively, these challenges have motivated bioinformaticians to create novel software tools and pipelines to assist in the identification of phosphopeptides in proteomic mixtures, and help pinpoint or "localize" the most likely site of modification in cases where there is ambiguity. Here we review the challenges to be met and the informatics solutions available to address them for phosphoproteomic analysis, as well as highlighting the difficulties associated with using them and the implications for data standards.