Integrated mass spectrometry imaging and omics workflows on the same tissue section using grid-aided,
Jusal Quanico1, Julien Franck1, Maxence Wisztorski1
1Université de Lille 1, INSERM, U1192-Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), F-59000 Lille, France.
This study introduces a novel workflow combining matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) with multi-omics analysis on a single tissue section. This integrated approach enhances the identification of proteins and metabolites, providing deeper biological insights.
Area of Science:
- Biochemistry
- Proteomics
- Metabolomics
Background:
- Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) has numerous applications but is limited in identifying multiple compound classes on a single tissue section.
- Existing methods often require multiple sections for comprehensive analysis, increasing tissue consumption and potentially introducing variability.
Purpose of the Study:
- To develop and validate a combined workflow for MALDI MS imaging, shotgun proteomics, and metabolomics using a single tissue section.
- To overcome the limitations of identifying multiple compound classes simultaneously in MALDI MSI.
Main Methods:
- A grid-aided, parafilm-assisted microdissection technique was employed, using an acid dye grid for guidance.
- The modified Folch method was used to separate metabolites from proteins in dissected tissue pieces.
- Proteins were subjected to controlled digestion to enhance identification yields.
Main Results:
- The proof-of-concept experiment on rat brain successfully identified 162 and 140 metabolite assignments and 890, 1303, and 1059 unique proteins from three regions of interest.
- Integrated analysis revealed biological pathways associated with each region, some of which were missed when analyzing proteins and metabolites separately.
Conclusions:
- This combined MALDI MS imaging and multi-omics approach significantly expands the information obtainable from a single tissue section.
- This represents the first report integrating both imaging and multi-omics analyses within a single workflow on the same tissue section.
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