Large-scale label-free phosphoproteomics: from technology to data interpretation. (September 2014)

• Record Type: Journal Article
• Authors: Guo, Hongbo; Isserlin, Ruth; Lugowski, Andrew; Kuzmanov, Uros; Emili, Andrew
• Is Part Of: Bioanalysis. Volume 6:Number 18(2014)
• Page Start: 2403
• Page End: 2420
• Publication Date: 2014-09
• Subjects: Drugs -- Analysis -- Periodicals; 615.19005
• DOI: 10.4155/bio.14.188
• Languages: English
• ISSNs: 1757-6180

Abstract

Protein phosphorylation plays a central role in the dynamic intracellular signaling and the control of biochemical pathways in all living cells. Recent advances in high-performance MS/MS-based technology make the large-scale identification and quantification of phosphorylation sites possible. Here, we review the full data generation pipeline, starting from sample preparation methods and LC–MS detection procedures, through to data processing and analysis software tools that facilitate the systematic comparative profiling of thousands of phosphoproteins in different biological specimens in a single experiment. We emphasize current challenges and promising avenues for the mechanistic interpretation and visualization of global phosphorylation networks and their relevance to human health and disease.