Mass Spectrometry-Based Proteomics and Network Biology

被引：304

作者：

Bensimon, Ariel ^{[1
,2
]}

Heck, Albert J. R. ^{[1
,3
,4
]}

Aebersold, Ruedi ^{[1
,2
,5
]}

机构：

[1] ETH, Dept Biol, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland

[2] ETH, Competence Ctr Syst Physiol & Metab Dis, CH-8093 Zurich, Switzerland

[3] Univ Utrecht, NL-3584 CH Utrecht, Netherlands

[4] Netherlands Prote Ctr, NL-3584 CH Utrecht, Netherlands

[5] Univ Zurich, Fac Sci, CH-8006 Zurich, Switzerland

来源：

ANNUAL REVIEW OF BIOCHEMISTRY, VOL 81 | 2012年 / 81卷

关键词：

systems biology; quantitative proteomics; protein interaction network; protein-signaling network; posttranslational modification; data-driven modeling; QUANTITATIVE INTERACTION PROTEOMICS; PROTEIN-INTERACTION NETWORKS; LARGE-SCALE; PHOSPHOPROTEOMIC ANALYSIS; ABSOLUTE QUANTIFICATION; SYSTEMS BIOLOGY; SIGNALING NETWORKS; LC-MS; KINASE; REVEALS;

D O I：

10.1146/annurev-biochem-072909-100424

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：

In the life sciences, a new paradigm is emerging that places networks of interacting molecules between genotype and phenotype. These networks are dynamically modulated by a multitude of factors, and the properties emerging from the network as a whole determine observable phenotypes. This paradigm is usually referred to as systems biology, network biology, or integrative biology. Mass spectrometry (MS)-based proteomics is a central life science technology that has realized great progress toward the identification, quantification, and characterization of the proteins that constitute a proteome. Here, we review how MS-based proteomics has been applied to network biology to identify the nodes and edges of biological networks, to detect and quantify perturbation-induced network changes, and to correlate dynamic network rewiring with the cellular phenotype. We discuss future directions for MS-based proteomics within the network biology paradigm.

引用

页码：379 / 405

页数：27

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