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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
  • , Francois 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
  • Carleton University
  • Western University
  • University of Duisburg-Essen
  • University of Guelph
  • University of Ottawa

科研成果: 期刊稿件 › 文章 › 同行评审

25 引用 (Scopus)

摘要

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.

源语言英语
期刊论文编号107896
期刊Cell Reports
卷32
期2
DOI
出版状态已出版 - 14 7月 2020
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