Automated, parallel mass spectrometry imaging and structural identification of lipids

Shane R. Ellis; Martin R. L. Paine; Gert B. Eijkel; Josch K. Pauling; Peter Husen; Mark W. Jervelund; Martin Hermansson; Christer S. Ejsing; Ron M. A. Heeren

doi:10.1038/s41592-018-0010-6

Automated, parallel mass spectrometry imaging and structural identification of lipids

Shane R. Ellis, Martin R. L. Paine, Gert B. Eijkel, Josch K. Pauling, Peter Husen, Mark W. Jervelund, Martin Hermansson, Christer S. Ejsing^*, Ron M. A. Heeren^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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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.

Original language	English
Pages (from-to)	515–518
Number of pages	4
Journal	Nature Methods
Volume	15
Issue number	7
DOIs	https://doi.org/10.1038/s41592-018-0010-6
Publication status	Published - Jul 2018

Keywords

DATA-ACQUISITION
MALDI
RESOLUTION
INFORMATION
STRATEGIES
LIPIDOMICS
TISSUE
MS

Access to Document

10.1038/s41592-018-0010-6

Full TextFinal published version, 1.14 MBLicence: Taverne

Cite this

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title = "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.",

keywords = "DATA-ACQUISITION, MALDI, RESOLUTION, INFORMATION, STRATEGIES, LIPIDOMICS, TISSUE, MS",

author = "Ellis, {Shane R.} and Paine, {Martin R. L.} and Eijkel, {Gert B.} and Pauling, {Josch K.} and Peter Husen and Jervelund, {Mark W.} and Martin Hermansson and Ejsing, {Christer S.} and Heeren, {Ron M. A.}",

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AU - Ellis, Shane R.

AU - Paine, Martin R. L.

AU - Eijkel, Gert B.

AU - Pauling, Josch K.

AU - Husen, Peter

AU - Jervelund, Mark W.

AU - Hermansson, Martin

AU - Ejsing, Christer S.

AU - Heeren, Ron M. A.

PY - 2018/7

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AB - 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.

KW - DATA-ACQUISITION

KW - MALDI

KW - RESOLUTION

KW - INFORMATION

KW - STRATEGIES

KW - LIPIDOMICS

KW - TISSUE

KW - MS

U2 - 10.1038/s41592-018-0010-6

DO - 10.1038/s41592-018-0010-6

M3 - Article

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EP - 518

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JF - Nature Methods

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