N-terminal isotope tagging strategy for quantitative proteomics: Results-driven analysis of protein abundance changes

被引:41
|
作者
Zappacosta, F [1 ]
Annan, RS [1 ]
机构
[1] GlaxoSmithKline, Prote & Biol Mass Spectrometry, Dept Computat Analyt & Struct Sci, King Of Prussia, PA 19406 USA
关键词
D O I
10.1021/ac049169b
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Comparing the relative abundance of each protein present in two or more complex samples can be accomplished using isotope-coded tags incorporated at the peptide level. Here we describe a chemical labeling strategy for the incorporation of a single isotope label per peptide, which is completely sequence-independent so that it potentially labels every peptide from a protein including those containing posttranslational modifications. It is based on a gentle chemical labeling strategy that specifically labels the N-terminus of all peptides in a digested sample with either a d(5)- or d(0)-propionyl group. Lysine side chains are blocked by guanidination prior to N-terminal labeling to prevent the incorporation of multiple labels. In this paper, we describe the optimization of this N-terminal isotopic tagging strategy and validate its use for peptide-based protein abundance measurements with a 10-protein standard mixture. Using a results-driven strategy, which targets proteins for identification based on MALDI TOF-MS analysis of isotopically labeled peptide pairs, we also show that this labeling strategy can detect a small number of differentially expressed proteins in a mixture as complex as a yeast cell lysate. Only peptides that show a difference in relative abundance are targeted for identification by tandem MS. Despite the fact that many peptides are quantitated, only those few showing a difference in abundance are targeted for protein identification. Proteins are identified by either targeted LC-ES MS/MS or MALDI TOF/TOF. Identifications can be accomplished equally well by either technique on the basis of multiple peptides. This increases the confidence level for both identification and quantitation. The merits of LC-ES MS/MS or MALDI MS/MS for protein identification in a results-driven strategy are discussed.
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收藏
页码:6618 / 6627
页数:10
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