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A Simple Carbamidomethylation-Based Isotope Labeling Method for Quantitative Shotgun Proteomics
Author(s) -
Donggeun Oh,
Sun Young Lee,
Meehyang Kwon,
Sook-Kyung Kim,
Myeong Hee Moon,
Dukjin Kang
Publication year - 2014
Publication title -
mass spectrometry letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.171
H-Index - 9
eISSN - 2233-4203
pISSN - 2093-8950
DOI - 10.5478/msl.2014.5.3.63
Subject(s) - chemistry , quantitative proteomics , proteome , chromatography , proteomics , orbitrap , stable isotope labeling by amino acids in cell culture , iodoacetamide , shotgun proteomics , peptide , isotope , stable isotope ratio , tandem mass spectrometry , biochemistry , mass spectrometry , cysteine , enzyme , physics , quantum mechanics , gene
In this study, we present a new isotope-coded carbamidomethylation (iCCM)-based quantitative proteomics, as a complementary strategy for conventional isotope labeling strategies, with providing the simplicity, ease of use, and robustness. In iCCM-based quantification, two proteome samples can be separately isotope-labeled by means of covalently reaction of all cysteinyl residues in proteins with iodoacetamide (IAA) and its isotope (IAA- 13 C2, D2), denoted as CM and iCCM, respectively, leading to a mass shift of all cysteinyl residues to be + 4 Da. To evaluate iCCM-based isotope labeling in proteomic quantifica- tion, 6 protein standards (i.e., bovine serum albumin, serotransferrin, lysozyme, beta-lactoglobulin, beta-galactosidase, and alpha-lactalbumin) isotopically labeled with IAA and its isotope, mixed equally, and followed by proteolytic digestion. The resulting CM-/iCCM-labeled peptide mixtures were analyzed using a nLC-ESI-FT orbitrap-MS/MS. From our experimental results, we found that the efficiency of iCCM-based quantification is more superior to that of mTRAQ, as a conventional noniso- baric labeling method, in which both of a number of identified peptides from 6 protein standards and the less quantitative varia- tions in the relative abundance ratios of heavy-/light-labeled corresponding peptide pairs. Finally, we applied the developed iCCM-based quantitative method to lung cancer serum proteome in order to evaluate the potential in biomarker discovery study

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