一种基于碳酰胺甲基化的同位素标记方法用于定量霰弹枪蛋白质组学

IF 0.4 Q4 SPECTROSCOPY Mass Spectrometry Letters Pub Date : 2014-09-01 DOI:10.5478/MSL.2014.5.3.63
Donggeun Oh, Sunyoung Lee, Meehyang Kwon, Sook‐Kyung Kim, M. Moon, Dukjin Kang
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引用次数: 0

摘要

在这项研究中,我们提出了一种新的基于同位素编码碳酰胺甲基化(iCCM)的定量蛋白质组学,作为传统同位素标记策略的补充策略,具有简单,易用和稳健性。在基于iCCM的定量中,两个蛋白质组样品可以通过蛋白质中所有半胱氨酸残基与碘乙酰胺(IAA)及其同位素(IAA- 13 C2, D2)的共价反应分别进行同位素标记,分别记为CM和iCCM,导致所有半胱氨酸残基的质量位移为+ 4 Da。为了评估基于icmm的同位素标记在蛋白质组学定量中的应用,用IAA及其同位素对6种蛋白质标准物(即牛血清白蛋白、血清转铁蛋白、溶菌酶、-乳球蛋白、-半乳糖苷酶和-乳白蛋白)进行同位素标记,均匀混合,然后进行蛋白水解消化。CM-/ iccm标记的肽混合物使用nLC-ESI-FT轨道阱-质谱联用仪进行分析。从实验结果中,我们发现基于iccm的定量效率优于mTRAQ,作为一种传统的非等压标记方法,在6种蛋白质标准中都可以鉴定出大量的肽,并且相应的重/轻标记肽对的相对丰度比的定量变化较小。最后,我们将所建立的基于iccm的定量方法应用于肺癌血清蛋白质组,以评估其在生物标志物发现研究中的潜力
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A Simple Carbamidomethylation-Based Isotope Labeling Method for Quantitative Shotgun Proteomics
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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