Discovering Matrix Adducts for Enhanced Metabolite Profiling with Stable Isotope-Labeled MALDI-MSI

Year: 2023

Type: preprint

Abstract: Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) is a widely used technique for spatial metabolomics analysis, but the matrix introduces spectral interferences that impede data processing. In this study, we present an experimental and computational workflow utilizing isotopic labeling to discover and annotate matrix adducts in MALDI-MSI. Our approach enables the removal of matrix-related signals, improving metabolite annotation accuracy, extending metabolome coverage, and facilitating the interpretation of tissue morphology.

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.1101/2023.06.28.546946

Authors: Gerard Baquer, Miguel Bernús, Lluc Sementé, René van Zeijl, Maria García-Altares, Bram Heijs, Omar Boutureira, Xavier Correig, Pere Ràfols

Institutions: Universitat Rovira i Virgili, Leiden University Medical Center, Novo Nordisk Foundation Center for Stem Cell Medicine, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas, Institut de Recerca Biomèdica Catalunya Sud

Language: English

Topic: Mass Spectrometry Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Generalitat de Catalunya, Universitat Rovira i Virgili, Agència de Gestió d'Ajuts Universitaris i de Recerca, European Regional Development Fund, Agencia Estatal de Investigación, Pacific Northwest National Laboratory

OpenAlex ID: W4382654450