Quantitative, High-Resolution Proteomics for Data-Driven Systems Biology

被引:504
作者
Cox, Juergen [1 ]
Mann, Matthias [1 ,2 ]
机构
[1] Max Planck Inst Biochem, Dept Prote & Signal Transduct, D-82152 Martinsried, Germany
[2] Univ Copenhagen, Fac Hlth Sci, Novo Nordisk Fdn Ctr Prot Res, DK-2200 Copenhagen, Denmark
来源
ANNUAL REVIEW OF BIOCHEMISTRY, VOL 80 | 2011年 / 80卷
关键词
bioinformatics; genetics; protein quantification; protein interactions; posttranslational modifications; signaling; SPECTROMETRY-BASED PROTEOMICS; PROTEIN IDENTIFICATION TECHNOLOGY; SITE-SPECIFIC PHOSPHORYLATION; MASS-SPECTROMETRY; SIGNALING NETWORKS; SACCHAROMYCES-CEREVISIAE; HIGH-THROUGHPUT; IN-VIVO; POSTTRANSLATIONAL MODIFICATIONS; ABSOLUTE QUANTIFICATION;
D O I
10.1146/annurev-biochem-061308-093216
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Systems biology requires comprehensive data at all molecular levels. Mass spectrometry (MS)-based proteomics has emerged as a powerful and universal method for the global measurement of proteins. In the most widespread format, it uses liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (MS/MS) to identify and quantify peptides at a large scale. This peptide intensity information is the basic quantitative proteomic data type. It is used to quantify proteins between different proteome states, including the temporal variation of the proteome, to determine the complete primary structure of proteins including posttranslational modifications, to localize proteins to organelles, and to determine protein interactions. Here, we describe the principles of analysis and the areas of biology where proteomics can make unique contributions. The large-scale nature of proteomics data and its high accuracy pose special opportunities as well as challenges in systems biology that have been largely untapped so far.
引用
收藏
页码:273 / 299
页数:27
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