Quantitative analysis of complex peptide mixtures using FTMS and differential mass spectrometry

被引:57
作者
Meng, Fanyu
Wiener, Matthew C.
Sachs, Jeffrey R.
Burns, Chrissina
Verma, Priyanka
Paweletz, Cloud P.
Mazur, Matthew T.
Deyanova, Ekaterina G.
Yates, Nathan A.
Hendrickson, Ronald C.
机构
[1] Merck & Co Inc, Merck Res Labs, Mol Profiling Proteom, Rahway, NJ 07065 USA
[2] Merck & Co Inc, Merck Res Labs, Appl Comp Sci & Math, Rahway, NJ 07065 USA
关键词
D O I
10.1016/j.jasms.2006.09.014
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Label-free LC-MS profiling is a powerful quantitative proteomic method to study relative peptide abundances between two or more biological samples. Here we demonstrate the use of a previously described comparative LC-MS method, differential mass spectrometry (dMS), to analyze high-resolution Fourier transform mass spectrometry (FTMS) data for detection and quantification of known peptide differences between two sets of complex mixtures. Six standard peptides were spiked into a processed plasma background at fixed ratios from 1.25:1 to 4:1 to make two sets of samples. The resulting mixtures were analyzed by microcapillary LC-FTMS and dMS. dMS successfully identified five out of the six peptides as statistically significant differences (p <= 0.005). In this experiment, the smallest fold change reliably detected by our method was 1.5:1, and the errors of estimated ratios of concentrations were less than 20% for peptides spiked at 1.5:1 to 4:1. We conclude that LC-FTMS coupled with dMS is a useful label-free quantitative MS method that can be used to detect subtle yet statistically significant peptide differences in complex protein mixtures, including plasma samples. (c) 2007 American Society for Mass Spectrometry.
引用
收藏
页码:226 / 233
页数:8
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