Dissecting phosphorylation networks: lessons learned from yeast

Abstract

Protein phosphorylation continues to be regarded as one of the most important post-translational modifications found in eukaryotes and has been implicated in key roles in the development of a number of human diseases. In order to elucidate roles for the 518 human kinases, phosphorylation has routinely been studied using the budding yeast Saccharomyces cerevisiae as a model system. In recent years, a number of technologies have emerged to globally map phosphorylation in yeast. In this article, we review these technologies and discuss how these phosphorylation mapping efforts have shed light on our understanding of kinase signaling pathways and eukaryotic proteomic networks in general.

Keywords::

• dynamic networks
• kinase–substrate relationships
• phosphorylation mapping
• proteomic networks
• Saccharomyces cerevisiae
• scale-free networks

Financial & competing interests disclosure

M Snyder is a consultant/scientific advisor for DNANexus, Personalis and Genapsys. M Snyder is supported by the NIH (Protein Chip grant #48722). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.