Enhancing metabolite coverage in MALDI-MSI using laser post-ionisation (MALDI-2)
J C McKinnon1, H H Milioli2,3,4, C A Purcell2,3,4
1Molecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Northfields Ave, Wollongong, NSW 2522, Australia. sellis@uow.edu.au.
Matrix-assisted laser desorption/ionisation mass spectrometry imaging with laser post-ionisation (MALDI-2) significantly enhances spatial metabolomics. This advanced technique improves metabolite coverage and sensitivity for low molecular weight metabolites in complex tissues.
Area of Science:
- Metabolomics
- Mass Spectrometry Imaging
- Biochemistry
Background:
- Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is crucial for understanding metabolic alterations in heterogeneous tissues.
- Conventional MALDI-MSI has limitations in metabolite coverage and sensitivity, particularly for low molecular weight (LMW) metabolites.
Purpose of the Study:
- To investigate the benefits of coupling laser post-ionisation (MALDI-2) with MALDI-MSI for spatial metabolomics.
- To assess the improvements in metabolite coverage and detection sensitivity for LMW metabolites (< 600 m/z).
Main Methods:
- Application of negative ion mode MALDI-2 coupled with MALDI-MSI to mouse kidney and liver tissues.
- Comparison of MALDI-2 performance against conventional MALDI-MSI using specific matrices (e.g., N-(1-naphthyl) ethylenediamine dihydrochloride).
- Analysis of datasets using the METASPACE platform and co-localisation analysis for tumour-specific metabolites.
Main Results:
- MALDI-2 nearly doubled the number of on-tissue specific mass features in mouse kidney tissue compared to conventional MALDI.
- MALDI-2 enhanced detection sensitivity and enabled imaging of LMW metabolites (e.g., uridine) previously undetectable.
- MALDI-2 identified 34 unique metabolite m/z features in kidney tissue not consistently annotated in public datasets.
- In liver tissue with metastatic breast cancer, MALDI-2 detected six tumour-specific metabolites and increased signal intensities up to 20-fold for others (e.g., glutamate).
Conclusions:
- MALDI-2 offers significant improvements in sensitivity and metabolite coverage for spatial metabolomics.
- This technique provides unprecedented insights into metabolic heterogeneity in complex biological samples.
- MALDI-2 represents a powerful advancement for metabolite imaging in research and diagnostics.
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