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
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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Auteurs

Matthew B O'Rourke (MB)

Centenary UTS Centre for Inflammation, Faculty of Science, School of Life Sciences, Centenary Institute and University of Technology Sydney, Sydney, NSW 2007, Australia.

Ben R Roediger (BR)

Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia.
Novartis Institutes for Biomedical Research-Autoimmunity, Transplantation and Inflammation, 9656 Basel, Switzerland.

Christopher J Jolly (CJ)

Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia.
Lowy Cancer Research Centre, School of Medical Sciences, UNSW Sydney, Sydney, NSW 2007, Australia.

Ben Crossett (B)

Sydney Mass Spectrometry, University of Sydney, Camperdown, NSW 2006, Australia.

Matthew P Padula (MP)

Metabolomics and Lipidomics Core Facility, Faculty of Science, School of Life Sciences and Proteomics, University of Technology Sydney, Ultimo, NSW 2007, Australia.

Phillip M Hansbro (PM)

Centenary UTS Centre for Inflammation, Faculty of Science, School of Life Sciences, Centenary Institute and University of Technology Sydney, Sydney, NSW 2007, Australia.

Classifications MeSH