Characterization and Diagnostic Value of Amino Acid Side Chain Neutral Losses Following Electron-Transfer Dissociation

TitleCharacterization and Diagnostic Value of Amino Acid Side Chain Neutral Losses Following Electron-Transfer Dissociation
Publication TypeJournal Article
Year of Publication2011
AuthorsXia, Q, Lee, VM, Rose, CM, Marsh, AJ, Hubler, SL, Wenger, CD, Coon, JJ
JournalJournal of the American Society for Mass Spectrometry
Volume22
Pagination255-264
Date PublishedFeb
Accession NumberISI:000287696500007
Keywordsaccurate mass, analysis, Biochemical Research Methods, capture dissociation, Chemistry,, Chemistry, Analytical, collision-induced dissociation, dot-x region, Electron capture dissociation, electron transfer dissociation, loss, mixtures, model peptides, Neutral, peptide, Physical, protein-sequence, provide, reliable information, Side chain loss, spectroscopy, Tandem mass-spectrometry, Transfer ion/ion reactions
Abstract

Using a large set of high mass accuracy and resolution ETD tandem mass spectra, we characterized ETD-induced neutral losses. From these data we deduced the chemical formula for 20 of these losses. Many of them have been previously observed in electron-capture dissociation (ECD) spectra, such as losses of the side chains of arginine, aspartic acid, glutamic acid, glutamine, asparagine, leucine, histidine, and carbamidomethylated cysteine residues. With this information, we examined the diagnostic value of these amino acid-specific losses. Among 1285 peptide-spectrum matches, 92.5% have agreement between neutral loss-derived peptide amino acid composition and the peptide sequences. Moreover, we show that peptides can be uniquely identified by using only the accurate precursor mass and amino acid composition based on neutral losses; the median number of sequence candidates from an accurate mass query is reduced from 21 to 8 by adding side chain loss information. Besides increasing confidence in peptide identification, our findings suggest the potential use of these diagnostic losses in ETD spectra to improve false discovery rate estimation and to enhance the performance of scoring functions in database search algorithms.

Short TitleJ. Am. Soc. Mass Spectrom.