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
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
103935Informations 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.