Mass spectrometry (MS)-based proteomics and the sulfome: clinical potential

High throughput MS-based proteomics has proven invaluable for the discovery of PTMs, advancing understanding of their roles in human health and disease. With recent advances in strategies for the characterization of protein sulfation, the field is now ready for exploration in a clinical context.

Authors

Institutions

Publication Details

Journal
Expert Review of Proteomics
Published
2025-12-02
DOI
https://doi.org/10.1080/14789450.2025.2601523
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mass spectrometry (MS)-based proteomics and the sulfome: clinical potential

Patrick A. Eyers, Daniel J. Rigden, Claire E. Eyers, Sara Jones et al.
Expert Review of Proteomics
Advanced Proteomics Techniques and Applications
article

Mass spectrometry (MS)-based proteomics and the sulfome: clinical potential

Patrick A. Eyers, Daniel J. Rigden, Claire E. Eyers, Sara Jones, Leonard A. Daly, Shahram Mesdaghi, Sally O. Oswald
article en

Abstract

High throughput MS-based proteomics has proven invaluable for the discovery of PTMs, advancing understanding of their roles in human health and disease. With recent advances in strategies for the characterization of protein sulfation, the field is now ready for exploration in a clinical context.

Expert Review of ProteomicsVol. 22(11-12)
University of Liverpool (GB)
Openalex Percentile: Top 64%
Advanced Proteomics Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.