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Automated, parallel mass spectrometry imaging and structural identification of lipids

Authors :
Ellis, Shane R.
Ellis, Shane R.
Paine, Martin R. L.
Eijkel, Gert B.
Pauling, Josch K.
Husen, Peter
Jervelund, Mark W.
Hermansson, Martin
Ejsing, Christer S.
Heeren, Ron M. A.
Ellis, Shane R.
Ellis, Shane R.
Paine, Martin R. L.
Eijkel, Gert B.
Pauling, Josch K.
Husen, Peter
Jervelund, Mark W.
Hermansson, Martin
Ejsing, Christer S.
Heeren, Ron M. A.
Source :
Nature Methods vol.15 (2018) nr.7 p.515–518 [ISSN 1548-7091]
Publication Year :
2018

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.

Details

Database :
OAIster
Journal :
Nature Methods vol.15 (2018) nr.7 p.515–518 [ISSN 1548-7091]
Notes :
DOI: 10.1038/s41592-018-0010-6, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1289739511
Document Type :
Electronic Resource

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