Journal
JOURNAL OF MASS SPECTROMETRY
Volume 57, Issue 9, Pages -Publisher
WILEY
DOI: 10.1002/jms.4882
Keywords
lipid identification; lipidomics; MALDI-imaging mass spectrometry; mouse brain
Funding
- Danish Council for Independent ResearchjNatural Sciences [DFF: 6108-00493]
- VILLUM Center for Bioanalytical Sciences [VKR023179]
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Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) is a useful technique for visualizing the spatial distribution of lipid molecules in tissues. The limitation of confident lipid identification in MSI has been overcome by the development of DDA-imaging technology. This study demonstrates the successful transfer of DDA-imaging technology onto another mass spectrometer and shows its reliability in lipid identification.
Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) is a useful technique for visualizing the spatial distribution of lipid molecules in tissues. Nevertheless, the use of MSI to investigate local lipid metabolic hallmarks has until recently been hampered by a lack of adequate technology that supports confident lipid identification. This limitation was recently mitigated by the development of DDA-imaging technology where high-resolution MSI is combined with parallel acquisition of lipid tandem MS2 spectra on a hybrid ion trap-Orbitrap Elite mass spectrometer featuring a resolving power of 240,000 and a scan time of 1 s. Here, we report the key tenets related to successful transfer of the DDA-imaging technology onto an Orbitrap Velos Pro instrument featuring a resolving power of 120,000 and a scan time of 2 s. Through meticulous performance assessments and method optimization, we tuned the DDA-imaging method to be able to confidently identify 73 molecular lipid species in mouse brain sections and demonstrate that the performance of the technology is comparable with DDA-imaging on the Orbitrap Elite. Altogether, our work shows that DDA-imaging on the Orbitrap Velos Pro instrument can serve as a robust workhorse for lipid imaging in routine applications.
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