Identification of post-translational modifications by blind search of mass spectra

Dekel Tsur, Stephen Tanner, Ebrahim Zandi, Vineet Bafna, Pavel A. Pevzner

Research output: Contribution to journalArticlepeer-review

224 Scopus citations

Abstract

Most tandem mass spectrometry (MS/MS) database search algorithms perform a restrictive search that takes into account only a few types of post-translational modifications (PTMs) and ignores all others. We describe an unrestrictive PTM search algorithm, MS-Alignment, that searches for all types of PTMs at once in a blind mode, that is, without knowing which PTMs exist in nature. Blind PTM identification makes it possible to study the extent and frequency of different types of PTMs, still an open problem in proteomics. Application of this approach to lens proteins resulted in the largest set of PTMs reported in human crystallins so far. Our analysis of various MS/MS data sets implies that the biological phenomenon of modification is much more widespread than previously thought. We also argue that MS-Alignment reveals some uncharacterized modifications that warrant further experimental validation.

Original languageEnglish
Pages (from-to)1562-1567
Number of pages6
JournalNature Biotechnology
Volume23
Issue number12
DOIs
StatePublished - 1 Dec 2005
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

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