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Viral Biomarker Detection and Validation Using MALDI Mass Spectrometry Imaging (MSI).
O'Rourke, Matthew B; Roediger, Ben R; Jolly, Christopher J; Crossett, Ben; Padula, Matthew P; Hansbro, Phillip M.
Affiliation
  • 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.
  • Roediger BR; Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia.
  • Jolly CJ; Novartis Institutes for Biomedical Research-Autoimmunity, Transplantation and Inflammation, 9656 Basel, Switzerland.
  • Crossett B; Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia.
  • Padula MP; Lowy Cancer Research Centre, School of Medical Sciences, UNSW Sydney, Sydney, NSW 2007, Australia.
  • Hansbro PM; Sydney Mass Spectrometry, University of Sydney, Camperdown, NSW 2006, Australia.
Proteomes ; 10(3)2022 Sep 13.
Article in En | MEDLINE | ID: mdl-36136311
ABSTRACT
(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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Proteomes Year: 2022 Document type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Proteomes Year: 2022 Document type: Article Affiliation country: Australia