蛋白质组学
物候学
蛋白质组
计算生物学
生物
基因组学
系统生物学
现象
表型
蛋白质基因组学
生物信息学
遗传学
基因组
基因
作者
Matthias Gstaiger,Ruedi Aebersold
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.
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