Viral Biomarker Detection and Validation Using MALDI Mass Spectrometry Imaging (MSI).
MALDI
mass spectrometry imaging
peptide identification
Journal
Proteomes
ISSN: 2227-7382
Titre abrégé: Proteomes
Pays: Switzerland
ID NLM: 101621966
Informations de publication
Date de publication:
13 Sep 2022
13 Sep 2022
Historique:
received:
14
07
2022
revised:
18
08
2022
accepted:
05
09
2022
entrez:
22
9
2022
pubmed:
23
9
2022
medline:
23
9
2022
Statut:
epublish
Résumé
(1) Background: MALDI imaging is a technique that still largely depends on time of flight (TOF)-based instrument such as the Bruker UltrafleXtreme. While capable of performing targeted MS/MS, these instruments are unable to perform fragmentation while imaging a tissue section necessitating the reliance of MS1 values for peptide level identifications. With this premise in mind, we have developed a hybrid bioinformatic/image-based method for the identification and validation of viral biomarkers. (2) Methods: Formalin-Fixed Paraffin-Embedded (FFPE) mouse samples were sectioned, mounted and prepared for mass spectrometry imaging using our well-established methods. Peptide identification was achieved by first extracting confident images corresponding to theoretical viral peptides. Next, those masses were used to perform a Peptide Mmass Fingerprint (PMF) searched against known viral FASTA sequences against a background mouse FASTA database. Finally, a correlational analysis was performed with imaging data to confirm pixel-by-pixel colocalization and intensity of viral peptides. (3) Results: 14 viral peptides were successfully identified with significant PMF Scores and a correlational result of >0.79 confirming the presence of the virus and distinguishing it from the background mouse proteins. (4) Conclusions: this novel approach leverages the power of mass spectrometry imaging and provides confident identifications for viral proteins without requiring MS/MS using simple MALDI Time Of Flight/Time Of Flight (TOF/TOF) instrumentation.
Identifiants
pubmed: 36136311
pii: proteomes10030033
doi: 10.3390/proteomes10030033
pmc: PMC9506211
pii:
doi:
Types de publication
Journal Article
Langues
eng
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