Back to Search Start Over

Characterization of vestibular schwannoma tissues using liquid chromatography‐tandem mass spectrometry analysis of specific peptide fragments separated by in‐sample tryptic protein digestion followed by mathematical analysis.

Authors :
Tesařová, Michaela
Boušková, Tereza
Cejnar, Pavel
Šantrůček, Jiří
Peterková, Lenka
Fík, Zdeněk
Sázelová, Petra
Kašička, Václav
Hynek, Radovan
Source :
Journal of Separation Science. Nov2023, Vol. 46 Issue 22, p1-13. 13p.
Publication Year :
2023

Abstract

Vestibular schwannoma is the most common benign neoplasm of the cerebellopontine angle. Its first symptoms include hearing loss, tinnitus, and vestibular symptoms, followed by cerebellar and brainstem symptoms, along with palsy of the adjacent cranial nerves. However, the clinical picture has unpredictable dynamics and currently, there are no reliable predictors of tumor behavior. Hence, it is desirable to have a fast routine method for analysis of vestibular schwannoma tissues at the molecular level. The major objective of this study was to verify whether a technique using in‐sample specific protein digestion with trypsin would have the potential to provide a proteomic characterization of these pathological tissues. The achieved results showed that the use of this approach with subsequent liquid chromatography‐tandem mass spectrometry (LC‐MS/MS) analysis of released peptides allowed a fast identification of a considerable number of proteins in two differential parts of vestibular schwannoma tissue as well as in tissues of control healthy samples. Furthermore, mathematical analysis of MS data was able to discriminate between pathological vestibular schwannoma tissues and healthy tissues. Thus, in‐sample protein digestion combined with LC‐MS/MS separation and identification of released specific peptides followed by mathematical analysis appears to have the potential for routine characterization of vestibular schwannomas at the molecular level. Data are available via ProteomeXchange with identifier PXD045261. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16159306
Volume :
46
Issue :
22
Database :
Academic Search Index
Journal :
Journal of Separation Science
Publication Type :
Academic Journal
Accession number :
173824192
Full Text :
https://doi.org/10.1002/jssc.202300543