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In this work, a method devised for the selective isolation of multiply-charged peptide applied to a complex protein mixture was evaluated for the first time using a mass spectrometer with low resolution (LTQ). In this procedure, all primary amino groups of tryptic peptides derived from human Liver tissue interstitial fluid (TIF) are blocked, restricting their positive charge, at acidic pH, to the presence of histidine and arginine residues. After strong cation exchange chromatography, multiply-charged peptides (#R+#H > 1) are retained in the column and separated with high selectivity from singly (#R+#H = 1) and neutral peptides (#R +#H = 0) which are collected together in the flow-through. Using Liquid chromatography electrospray ionization tandem mass spectrometry analysis the retained fraction displayed a 95% enrichment of multiply charged peptides while in the flow-through; only 4% of multiply-charged peptides were identified.

Protein identification by mass spectrometry is mainly based on MS/MS spectra and the accuracy of molecular mass determination. However, the high complexity and dynamic ranges for any species of proteomic samples, surpass the separation capacity and detection power of the most advanced multidimensional liquid chromatographs and mass spectrometers. Only a tiny portion of signals is selected for MS/MS experiments and a still considerable number of them do not provide reliable peptide identification. In this article, an in silico analysis for a novel methodology of peptides and proteins identification is described. The approach is based on mass accuracy, isoelectric point (pI), retention time (t(R)) and N-terminal amino acid determination as protein identification criteria regardless of high quality MS/MS spectra. When the methodology was combined with the selective isolation methods, the number of unique peptides and identified proteins increases. Finally, to demonstrate the feasibility of the methodology, an OFFGEL-LC-MS/MS experiment was also implemented. We compared the more reliable peptide identified with MS/MS information, and peptide identified with three experimental features (pI, t(R), molecular mass). Also, two theoretical assumptions from MS/MS identification (selective isolation of peptides and N-terminal amino acid) were analyzed. Our results show that using the information provided by these features and selective isolation methods we could found the 93% of the high confidence protein identified by MS/MS with false-positive rate lower than 5%., (Copyright © 2011 Elsevier B.V. All rights reserved.)

We report here a method for the identification of free or blocked N-terminal peptide of in-gel digested isolated proteins. The primary amino groups of the gel-entrapped protein are blocked with normal acetic or succinic anhydride, and the protein is digested with a high-specificity protease. The generated peptides are treated with an equimolar mixture of normal and deuterated acetic anhydride. Upon mass spectrometric analysis internal peptides display a complex isotopic ion distribution while the N-terminal peptide shows a normal isotopic ion distribution. The procedure was applied to the identification of the N-terminus of individual and protein mixtures isolated by sodium dodecyl sulfate/polyacrylamide gel electrophoresis (SDS-PAGE)., (Copyright 2007 John Wiley & Sons, Ltd.)

Mass spectrometry is now firmly established as a powerful technique for the identification and characterization of proteins when used in conjunction with sequence databases. Various approaches involving stable-isotope labeling have been developed for quantitative comparisons between paired samples in proteomic expression analysis by mass spectrometry. However, interpretation of such mass spectra is far from being fully automated, mainly due to the difficulty of analyzing complex patterns resulting from the overlap of multiple peaks arising from the assortment of natural isotopes. In order to facilitate the interpretation of a complex mass spectrum of such a mixture, such as an MS spectrum of a stable-isotope-enriched ion species, we report on the development of a software application, 'Matching' (web accessible), that enables the automatic matching of theoretical isotope envelopes to multiple ion peaks in a raw spectrum. It is particularly useful for resolving the relative abundances of narrow-split paired peaks caused by enrichment with a stable isotope, such as 18O, 13C, 2H, or 15N., (2004 John Wiley & Sons, Ltd.)

SeqMS, a software program designed for the automated interpretation of high-energy collision-induced dissociation (CID) mass spectra of singly protonated peptides ionized by fast atom bombardment, has been developed. The software is capable of probing the sequence of an unknown peptide, and even of certain modified peptides. The program, compiled for WINDOWS95 or NT, also permits the retrieval of raw data and the reconstruction of the spectra on a user-friendly graphical interface with the aid of several tools for processing the spectra, which include setting multiple threshold levels and automatic peak detection. SeqMS is capable of generating candidate sequences, based on the detected peaks, and of displaying the resulting assignments for each candidate in a spectrum or in tabular form. The software has the following capabilities: 1) the ions derived from backbone and side-chain fragmentations, internal and immonium ions, and side-chain loss ions can be used for calculation; 2) 18O-labeling of a peptide at the C terminus, a methodology which was developed to differentiate N-terminal from C-terminal ions, is applicable as an optional setting; 3) modified amino acids and N- or C-terminal blocking groups are taken into account for calculation according to the user's setting in a library; 4) amino acid composition and partial or complete amino acid sequence of a peptide can be used as input for calculation; 5) the assignments of signal output in a spectrum can be graphically edited, and then re-calculated based on the edited peaks. The efficacy of the program is demonstrated by testing 74 high-energy CID spectra, obtained using a four-sector instrument, of synthetic, proteolytic, and biologically active peptides, some of which contain modified groups.