title: Effect of iTRAQ labeling on the relative abundance of peptide fragment ions produced by MALDI-MS/MS.
abstract: The identification of proteins in proteomics experiments is usually based on mass information derived from tandem mass spectrometry data. To improve the performance of the identification algorithms, additional information available in the fragment peak intensity patterns has been shown to be useful. In this study, we consider the effect of iTRAQ labeling on the fragment peak intensity patterns of singly charged peptides from MALDI tandem MS data. The presence of an iTRAQ-modified basic group on the N-terminus leads to a more pronounced set of b-ion peaks and distinct changes in the abundance of specific peptide types. We performed a simple intensity prediction by using a decision-tree machine learning approach and were able to show that the relative ion abundance in a spectrum can be correctly predicted and distinguished from closely related sequences. This information will be useful for the development of improved method-specific intensity-based protein identification algorithms.
authors: Department of Biochemistry, Groningen Biomolecular Sciences and Biotechnology Institute, Netherlands Proteomics Centre & Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands.
authors: Tejas
authors: T
authors: Gandhi
authors: Pranav
authors: P
authors: Puri
authors: Fabrizia
authors: F
authors: Fusetti
authors: Rainer
authors: R
authors: Breitling
authors: Bert
authors: B
authors: Poolman
authors: Hjalmar P
authors: HP
authors: Permentier
mesh_terms: D029681:Arabidopsis Proteins / Q000737:chemistry; D001185:Artificial Intelligence; D001426:Bacterial Proteins / Q000737:chemistry; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D003663:Decision Trees; D013294:Lactococcus lactis; D008956:Models, Chemical; D010446:Peptide Fragments / Q000737:chemistry*; D010449:Peptide Mapping / Q000379:methods; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D013194:Staining and Labeling; D053719:Tandem Mass Spectrometry
chemical_list: D029681:Arabidopsis Proteins; D001426:Bacterial Proteins; D010446:Peptide Fragments