2018
DOI: 10.1038/s41592-018-0010-6
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Automated, parallel mass spectrometry imaging and structural identification of lipids

Abstract: We report a method that enables automated data-dependent acquisition of lipid tandem mass spectrometry data in parallel with a high-resolution mass spectrometry imaging experiment. The method does not increase the total image acquisition time and is combined with automatic structural assignments. This lipidome-per-pixel approach automatically identified and validated 104 unique molecular lipids and their spatial locations from rat cerebellar tissue.

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Cited by 183 publications
(203 citation statements)
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“…This allows to retrieve amino acid sequence information of individual peptide and protein species in situ as well as for characterization of fatty acid patterns of lipids as recently presented with a very powerful approach for automated, in parallel MS/MS imaging (Ellis et al . ). Due to their high resolving power, FT mass analyzers are preferentially used within the pharmaceutical industry, where drugs are characterized by their intact mass and isotope pattern as reviewed in detail elsewhere (Prideaux and Stoeckli ).…”
Section: Maldi Imaging Msmentioning
confidence: 97%
“…This allows to retrieve amino acid sequence information of individual peptide and protein species in situ as well as for characterization of fatty acid patterns of lipids as recently presented with a very powerful approach for automated, in parallel MS/MS imaging (Ellis et al . ). Due to their high resolving power, FT mass analyzers are preferentially used within the pharmaceutical industry, where drugs are characterized by their intact mass and isotope pattern as reviewed in detail elsewhere (Prideaux and Stoeckli ).…”
Section: Maldi Imaging Msmentioning
confidence: 97%
“…Several reported lipidome compositions from the literature were used to determine the coverage provided by LipidCreator ( Fig. 4) for the following organisms and tissues: (a) Human plasma 40 , (b) Human platelet 36 , (c) Mouse heart 35 , (d) Mouse platelet 36 , (e) Mouse brain 32,41 , (f) Yeast 34 , (g) Zebrafish 42 , (h) Drosophila 33,43 , (i) Arabidopsis 44 , and (j) E. coli [45][46][47] . We can show that the vast majority of reported lipids among the selected model organisms are supported by LipidCreator.…”
Section: Optimization Of Collision Energy and Library Generationmentioning
confidence: 99%
“…There is a growing realisation of the versatility and power of MSI to map the distribution of specific biomolecules at micrometer‐scale resolution across tissue sections . Functional MSI adds to the repertoire of these capabilities by providing, for the first time, a method to map the spatial distribution of enzymatic activity.…”
Section: Figurementioning
confidence: 99%