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Mass Spectrometry Proteomics Reaches Single-Cell Resolution and Clinical Scale

This comprehensive Nature review surveys the transformation of mass spectrometry-based proteomics from a research tool to a clinical-grade platform. Recent advances in sample preparation, instrumentation, and AI-driven data analysis now enable single-cell proteomics and spatial tissue profiling at unprecedented sensitivity. The authors outline how these capabilities are driving biomarker discovery in body fluids and discuss the remaining challenges for implementing proteomics-based diagnostics in routine clinical practice.

The original study

Mass-spectrometry-based proteomics: from single cells to clinical applications.

Authors
Guo T, Steen JA, Mann M
Journal
Nature
Type
Journal Article, Review
PMID
40011722
Read the original study →

Original abstract

Mass-spectrometry (MS)-based proteomics has evolved into a powerful tool for comprehensively analysing biological systems. Recent technological advances have markedly increased sensitivity, enabling single-cell proteomics and spatial profiling of tissues. Simultaneously, improvements in throughput and robustness are facilitating clinical applications. In this Review, we present the latest developments in proteomics technology, including novel sample-preparation methods, advanced instrumentation and innovative data-acquisition strategies. We explore how these advances drive progress in key areas such as protein-protein interactions, post-translational modifications and structural proteomics. Integrating artificial intelligence into the proteomics workflow accelerates data analysis and biological interpretation. We discuss the application of proteomics to single-cell analysis and spatial profiling, which can provide unprecedented insights into cellular heterogeneity and tissue architecture. Finally, we examine the transition of proteomics from basic research to clinical practice, including biomarker discovery in body fluids and the promise and challenges of implementing proteomics-based diagnostics. This Review provides a broad and high-level overview of the current state of proteomics and its potential to revolutionize our understanding of biology and transform medical practice.