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Proteome-wide Prediction of Lysine Methylation Leads to Identification of H2BK43 Methylation and Outlines the Potential Methyllysine Proteome

Kyle K. Biggar, François Charih, Huadong Liu, Yasser B. Ruiz‐Blanco, Leanne Stalker, Anand Chopra, Justin Connolly, Hemanta Adhikary, Kristin Frensemier, Matthew Hoekstra, Marek Galka, Qi Fang, Christopher Wynder, William L. Stanford, James R. Green, Shawn S.‐C. Li

2020Cell Reports33 citationsDOIOpen Access PDF

Abstract

Protein Lys methylation plays a critical role in numerous cellular processes, but it is challenging to identify Lys methylation in a systematic manner. Here we present an approach combining in silico prediction with targeted mass spectrometry (MS) to identify Lys methylation (Kme) sites at the proteome level. We develop MethylSight, a program that predicts Kme events solely on the physicochemical properties of residues surrounding the putative methylation sites, which then requires validation by targeted MS. Using this approach, we identify 70 new histone Kme marks with a 90% validation rate. H2BK43me2, which undergoes dynamic changes during stem cell differentiation, is found to be a substrate of KDM5b. Furthermore, MethylSight predicts that Lys methylation is a prevalent post-translational modification in the human proteome. Our work provides a useful resource for guiding systematic exploration of the role of Lys methylation in human health and disease.

Topics & Concepts

MethylationProteomeProtein methylationComputational biologyIn silicoHuman proteome projectMethyltransferaseHistoneBiologyIdentification (biology)ProteomicsBioinformaticsBiochemistryGeneBotanyEpigenetics and DNA MethylationCancer-related gene regulationRNA modifications and cancer
Proteome-wide Prediction of Lysine Methylation Leads to Identification of H2BK43 Methylation and Outlines the Potential Methyllysine Proteome | Litcius