Applying mass spectrometry-based proteomics to genetics, genomics and network biology

被引：301

作者：

Gstaiger, Matthias ^{[1
,2
]}

Aebersold, Ruedi ^{[1
,2
,3
,4
]}

机构：

[1] Swiss Fed Inst Technol, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland

[2] Swiss Fed Inst Technol, Competence Ctr Syst Physiol & Metab Dis, CH-8093 Zurich, Switzerland

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

[4] Inst Syst Biol, Seattle, WA 98103 USA

来源：

NATURE REVIEWS GENETICS | 2009年 / 10卷 / 09期

基金：

瑞士国家科学基金会; 美国国家卫生研究院;

关键词：

PROTEIN-INTERACTION NETWORKS; QUANTITATIVE PROTEOMICS; SHOTGUN PROTEOMICS; SACCHAROMYCES-CEREVISIAE; SIGNALING NETWORKS; SYSTEMS BIOLOGY; IN-VIVO; YEAST; IDENTIFICATION; DROSOPHILA;

D O I：

10.1038/nrg2633

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The systematic and quantitative molecular analysis of mutant organisms that has been pioneered by studies on mutant metabolomes and transcriptomes holds great promise for improving our understanding of how phenotypes emerge. Unfortunately, owing to the limitations of classical biochemical analysis, proteins have previously been excluded from such studies. Here we review how technical advances in mass spectrometry-based proteomics can be applied to measure changes in protein abundance, posttranslational modifications and protein-protein interactions in mutants at the scale of the proteome. We finally discuss examples that integrate proteomics data with genomic and phenomic information to build network-centred models, which provide a promising route for understanding how phenotypes emerge.

引用

页码：617 / 627

页数：11

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