An Introduction to Analytical Challenges, Approaches, and Applications in Mass Spectrometry-Based Secretomics.

cell surface shedding challenges mass spectrometry metabolic labeling secretome secretomics serum-free secretomics

Journal

Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647

Informations de publication

Date de publication:
09 2023
Historique:
received: 27 02 2023
revised: 06 07 2023
accepted: 16 08 2023
medline: 23 10 2023
pubmed: 20 8 2023
entrez: 19 8 2023
Statut: ppublish

Résumé

The active release of proteins into the extracellular space and the proteolytic cleavage of cell surface proteins are key processes that coordinate and fine-tune a multitude of physiological functions. The entirety of proteins that fulfill these extracellular tasks are referred to as the secretome and are of special interest for the investigation of biomarkers of disease states and physiological processes related to cell-cell communication. LC-MS-based proteomics approaches are a valuable tool for the comprehensive and unbiased characterization of this important subproteome. This review discusses procedures, opportunities, and limitations of mass spectrometry-based secretomics to better understand and navigate the complex analytical landscape for studying protein secretion in biomedical science.

Identifiants

pubmed: 37597723
pii: S1535-9476(23)00147-0
doi: 10.1016/j.mcpro.2023.100636
pmc: PMC10518356
pii:
doi:

Substances chimiques

Membrane Proteins 0

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100636

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest S. K. and H. C. E. are employees of GSK. H. C. E. is a shareholder of GSK. B. K. is a cofounder and shareholder of OmicScouts and MSAID. He has no operational role in either company. Neither company funded the presented work. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. The authors declare that they have no conflicts of interest with the contents of this article.

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Auteurs

Sascha Knecht (S)

Omics Sciences, Genomic Sciences, GlaxoSmithKline, Heidelberg, Germany; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.

H Christian Eberl (HC)

Omics Sciences, Genomic Sciences, GlaxoSmithKline, Heidelberg, Germany.

Norbert Kreisz (N)

Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.

Ukamaka Juliet Ugwu (UJ)

Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.

Tatiana Starikova (T)

Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.

Bernhard Kuster (B)

Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. Electronic address: kuster@tum.de.

Stephanie Wilhelm (S)

Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. Electronic address: stephanie.heinzlmeir@tum.de.

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Classifications MeSH