# Navigating Challenges in Mass Spectrometry Analysis of Endogenous and Synthetic Protein Modifications

## TL;DR

This review discusses the use of mass spectrometry to study protein modifications and how these techniques can help identify disease targets and biomarkers.

## Contribution

The paper provides a comprehensive overview of challenges and recent advances in PTM analysis using mass spectrometry.

## Key findings

- Modification-specific properties significantly influence PTM detection and identification.
- Common challenges include variable MS/MS fragmentation and site localization.
- Recent advances in acquisition and computational tools improve PTM analysis accuracy.

## Abstract

Mass spectrometry-based analysis of post-translational modifications (PTMs) is a key strategy for characterizing protein regulation and identifying disease-associated targets, with endogenous PTMs serving as biomarkers for disease diagnosis and therapeutic response. More recently, chemical proteomic strategies have adapted PTM-focused workflows to measure engagement of covalent and photoactivatable small-molecule probes, expanding the scope of ligand discovery for these disease-associated targets. This review provides an overview of mass spectrometry-based PTM analysis workflows, including LC–MS/MS acquisition and post-acquisition data processing, with an emphasis on how modification-specific physicochemical properties influence PTM detection and identification. Common analytical challenges that limit PTM identification, including variable MS/MS fragmentation behavior and modification site localization, are discussed using modifications such as phosphorylation and photoaffinity labeling probe adducts as representative examples. Recent advances in acquisition strategies and computational tools that improve spectral quality and confidence in PTM assignment are also summarized. Additionally, approaches for the analytical validation of modification events, such as metabolic labeling strategies, are described. Together, this review outlines key considerations, capabilities, and limitations of MS-based PTM profiling and provides a framework for interpreting PTM datasets to support their effective integration into downstream biochemical and disease target validation studies.