Published August 2019 | Version v1
Journal article

A new chromatographic approach to analyze methylproteome with enhanced lysine methylation identification performance

  • 1. University of Chinese Academy of Sciences, Beijing, 100049 (China)
  • 2. CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023 (China)

Description

Highlights: • Cu-IMAC depletion of His-containing peptides improved methylproteome coverage. • Low pH SCX fractionation enhanced lysine methylation identification performance. • Large-scale dataset revealed new motif of lysine methylation. -- Abstract: Arginine/lysine methylation is an important post-translational modification (PTM) involved in DNA repairing, transcriptional regulation, etc. Immunoaffinity enrichment is currently the most widely used methods for the methylproteome analysis. Large-scale analysis of arginine methylation has been realized by using pan-R-methyl antibodies. Unfortunately, pan specific antibodies targeting all three lysine methylation forms are not available. In this study, we presented a novel chromatography-based enrichment method for global methylproteome analysis. The offline multidimensional tandem chromatography combining strong cation exchange (SCX) chromatography, immobilized metal ion affinity chromatography (IMAC) and high-pH reversed-phase chromatography (high-pH RP) was applied in the large-scale analysis of methylproteome. Totally, 860 forms on 765 sites were identified from BEL cells, covering all five arginine/lysine methylation forms. Among them, 27.21% were lysine methylation forms. This technique allows the simultaneous analysis of both arginine and lysine methylation while it has improved performance for the identification of lysine methylation. Therefore, it is a promising strategy for the investigation of biological functions related to methylation.

Additional details

Identifiers

DOI
10.1016/j.aca.2019.03.042;
PII
S0003267019303319;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1068
Journal Page Range
p. 111-119
ISSN
0003-2670
CODEN
ACACAM

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Copyright
Copyright (c) 2019 Elsevier B.V. All rights reserved.