Optimizing fungal extracellular vesicle proteomic profiling through combined analysis of in-solution and in-gel digestion.

And proteomics Fungal extracellular vesicles In-gel digestion In-solution digestion Neurospora crassa

Journal

Fungal genetics and biology : FG & B
ISSN: 1096-0937
Titre abrégé: Fungal Genet Biol
Pays: United States
ID NLM: 9607601

Informations de publication

Date de publication:
21 Sep 2024
Historique:
received: 27 03 2024
revised: 15 09 2024
accepted: 16 09 2024
medline: 24 9 2024
pubmed: 24 9 2024
entrez: 23 9 2024
Statut: aheadofprint

Résumé

Proteomics offers a powerful tool to identify proteins within diverse microbial organisms, environments, and organelles, including extracellular vesicles (EVs). Fungal EVs are of particular interest due to their roles in cellular development and communication. While several methods exist to isolate EVs from cells, a universally accepted approach for EV protein characterization is lacking. This study investigated in-solution digestion (SD) and in-gel digestion (GD), for characterizing proteins from Neurospora crassa EVs, followed by LC-MS/MS analysis. GD identified three to four-times more proteins than SD while using the same number of unique peptides. Although GD requires a higher amount of starting sample, it offers a more comprehensive protein identification for fungal EVs, potentially preventing the omission of crucial data.

Identifiants

pubmed: 39313129
pii: S1087-1845(24)00072-0
doi: 10.1016/j.fgb.2024.103935
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103935

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Daniel A Salgado-Bautista (DA)

Department of Microbiology, Centro de Investigación Científica y Educación Superior de Ensenada (CICESE), Ensenada, Mexico. Electronic address: dsalgado@cicese.mx.

Eduardo Callegari (E)

Division of Basic Biomedical Sciences, Sanford School of Medicine of the University of South Dakota, Vermillion, SD, USA.

Meritxell Riquelme (M)

Department of Microbiology, Centro de Investigación Científica y Educación Superior de Ensenada (CICESE), Ensenada, Mexico.

Classifications MeSH