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 › Journal article › Research › peer-review

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
Journal	Nature Methods
Volume	15
Issue number	7
Pages (from-to)	515-518
ISSN	1548-7091
DOIs	https://doi.org/10.1038/s41592-018-0010-6
Publication status	Published - 2018

Bibliographical note

Published: 21 May 2018

Keywords

Automation
Carbohydrate Conformation
Lipids/chemistry
Mass Spectrometry/methods

Documents & Links

10.1038/s41592-018-0010-6

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 = "Automation, Carbohydrate Conformation, Lipids/chemistry, Mass Spectrometry/methods",

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.}",

note = "Published: 21 May 2018",

year = "2018",

doi = "10.1038/s41592-018-0010-6",

language = "English",

volume = "15",

pages = "515--518",

journal = "Nature Methods",

issn = "1548-7091",

publisher = "Nature Publishing Group",

number = "7",

}

Automated, parallel mass spectrometry imaging and structural identification of lipids. / 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.

In: Nature Methods, Vol. 15, No. 7, 2018, p. 515-518.

Research output: Contribution to journal › Journal article › Research › peer-review

TY - JOUR

T1 - Automated, parallel mass spectrometry imaging and structural identification of lipids

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.

N1 - Published: 21 May 2018

PY - 2018

Y1 - 2018

N2 - 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.

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 - Automation

KW - Carbohydrate Conformation

KW - Lipids/chemistry

KW - Mass Spectrometry/methods

U2 - 10.1038/s41592-018-0010-6

DO - 10.1038/s41592-018-0010-6

M3 - Journal article

C2 - 29786091

AN - SCOPUS:85047181924

VL - 15

SP - 515

EP - 518

JO - Nature Methods

JF - Nature Methods

SN - 1548-7091

IS - 7

ER -

Automated, parallel mass spectrometry imaging and structural identification of lipids

Abstract

Bibliographical note

Keywords

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