蛋白质组
蛋白质组学
计算生物学
生物
互连性
基因组
系统生物学
定量蛋白质组学
人类蛋白质组计划
生物信息学
基因组学
计算机科学
遗传学
基因
人工智能
作者
Maarten Altelaar,Javier Muñoz,Albert J. R. Heck
摘要
Next-generation sequencing allows the analysis of genomes, including those representing disease states. However, the causes of most disorders are multifactorial, and systems-level approaches, including the analysis of proteomes, are required for a more comprehensive understanding. The proteome is extremely multifaceted owing to splicing and protein modifications, and this is further amplified by the interconnectivity of proteins into complexes and signalling networks that are highly divergent in time and space. Proteome analysis heavily relies on mass spectrometry (MS). MS-based proteomics is starting to mature and to deliver through a combination of developments in instrumentation, sample preparation and computational analysis. Here we describe this emerging next generation of proteomics and highlight recent applications.
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