Navigating Challenges in Mass Spectrometry Analysis of Endogenous and Synthetic Protein Modifications.
Caroline M Hanson1,2, Dina L Bai3,4, Jarrod A Marto3,4
1Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA.
Biomolecules
|March 28, 2026
Summary
Mass spectrometry (MS) is crucial for studying protein modifications (PTMs) and finding disease biomarkers. This review details MS workflows, challenges, and advances for PTM analysis and validation.
Area of Science:
- Biochemistry
- Proteomics
- Analytical Chemistry
Background:
- Mass spectrometry (MS)-based analysis of post-translational modifications (PTMs) is vital for understanding protein regulation and identifying disease biomarkers.
- Chemical proteomic strategies leverage PTM-focused workflows to measure small-molecule probe engagement for ligand discovery.
Purpose of the Study:
- To provide an overview of MS-based PTM analysis workflows, from data acquisition to processing.
- To highlight the influence of modification-specific physicochemical properties on PTM detection and identification.
- To discuss challenges and recent advances in PTM identification and validation.
Main Methods:
- Review of LC-MS/MS acquisition and post-acquisition data processing strategies.
- Discussion of analytical challenges including fragmentation behavior and site localization.
- Summary of recent advances in acquisition techniques and computational tools.
- Description of analytical validation approaches like metabolic labeling.
Main Results:
- MS-based PTM profiling offers insights into protein regulation and disease targets.
- Modification-specific properties significantly impact PTM detection.
- Advances in MS and computational tools enhance PTM identification confidence.
- Analytical validation methods are crucial for reliable PTM data.
Conclusions:
- MS-based PTM profiling is a powerful tool with specific considerations, capabilities, and limitations.
- Effective interpretation of PTM datasets is key for downstream validation studies.
- This review provides a framework for understanding and utilizing MS-based PTM data.
Keywords:
chimeric spectracollision induced dissociation (CID)database searchdiagnostic iondynamic exclusionelectron capture dissociation (ECD)electron transfer dissociation (ETD)error-tolerant searchfragment remnantimmonium ionisobariclabeling profileopen searchparallel reaction monitoring (PRM)peptide-spectrum match (PSM)positional isomerprecursor ion scanningsite-determining ionsynthetic modificationRelated Concept Videos
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