Journal Article Review Ppublish 4 citations
PubMed: 38300624 DOI: 10.1080/14789450.2024.2314148
Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications.
Expert Rev Proteomics 21(1-3):99-113
Authors: Xing Xu, Kejun Yin, Senhan Xu, Zeyu Wang, Ronghu Wu
Affiliations
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia.
Abstract
INTRODUCTION
Cell-surface proteins are extremely important for many cellular events, such as regulating cell-cell communication and cell-matrix interactions. Aberrant alterations in surface protein expression, modification (especially glycosylation), and interactions are directly related to human diseases. Systematic investigation of surface proteins advances our understanding of protein functions, cellular activities, and disease mechanisms, which will lead to identifying surface proteins as disease biomarkers and drug targets.
AREAS COVERED
In this review, we summarize mass spectrometry (MS)-based proteomics methods for global analysis of cell-surface proteins. Then, investigations of the dynamics of surface proteins are discussed. Furthermore, we summarize the studies for the surfaceome interaction networks. Additionally, biological applications of MS-based surfaceome analysis are included, particularly highlighting the significance in biomarker identification, drug development, and immunotherapies.
EXPERT OPINION
Modern MS-based proteomics provides an opportunity to systematically characterize proteins. However, due to the complexity of cell-surface proteins, the labor-intensive workflow, and the limit of clinical samples, comprehensive characterization of the surfaceome remains extraordinarily challenging, especially in clinical studies. Developing and optimizing surfaceome enrichment methods and utilizing automated sample preparation workflow can expand the applications of surfaceome analysis and deepen our understanding of the functions of cell-surface proteins.
MeSH
Biomarkers, Cells, Membrane Proteins, Proteomics, Workflow
Cited by
- Optimization of glycopeptide enrichment techniques for the identification of clinical biomarkers. Expert Rev Proteomics, 2024