Mass Spectrometry for Lysine Methylation: Principles, Progress, and Prospects

TL;DR

This paper reviews the use of mass spectrometry for studying lysine methylation, a key protein modification, and outlines current methods and future directions to improve its analysis.

Contribution

The paper provides a comprehensive review of MS-based workflows for lysine methylation analysis and highlights emerging solutions to overcome current analytical challenges.

Findings

Mass spectrometry remains central for lysine methylation analysis despite challenges like low stoichiometry and isobaric interference.

Advances in ionization, fragmentation, and acquisition strategies like DIA and PASEF are improving methylation profiling.

Enrichment methods such as immunoaffinity and chemical derivatization are critical for resolving methyllysine sites.

Abstract

Lysine methylation is a regulatory post-translational modification with diverse roles across both histone and non-histone proteins. Despite its biological relevance, comprehensive characterization of lysine methylation remains analytically challenging due to its low stoichiometry, subtle mass changes, and the absence of standardized, robust enrichment strategies. Mass spectrometry (MS) has become the cornerstone of methylation analysis, supporting both targeted and proteome-wide investigations. In this review, we examine the evolution of MS-based workflows for lysine methylation, including advances in ionization and fragmentation techniques, high-resolution mass analyzers, and acquisition strategies such as data-independent acquisition (DIA) and parallel accumulation–serial fragmentation (PASEF). We evaluate bottom-up, middle-down, and top-down proteomic approaches and discuss enrichment methods ranging from immunoaffinity and chromatography to chemical derivatization. Particular attention is given to persistent challenges, including proteolytic constraints and isobaric interference, that complicate confident site-level resolution. Finally, we highlight emerging solutions and future directions aimed at improving the sensitivity, specificity, and reproducibility of lysine methylation profiling. Together, this synthesis provides a forward-looking roadmap for optimizing MS workflows in methyllysine proteomics.

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