Ozonization of Tissue Sections for MALDI MS Imaging of Carbon-Carbon Double Bond Positional Isomers of Phospholipids.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
05 05 2020
Historique:
pubmed: 15 4 2020
medline: 12 2 2021
entrez: 15 4 2020
Statut: ppublish

Résumé

Visualizing the differential distribution of carbon-carbon double bond (C═C db) positional isomers of unsaturated phospholipids (PL) in tissue sections by use of refined matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) technologies offers a high promise to deeper understand PL metabolism and isomer-specific functions in health and disease. Here we introduce an on-tissue ozonization protocol that enables a particular straightforward derivatization of unsaturated lipids in tissue sections. Collision-induced dissociation (CID) of MALDI-generated ozonide ions (with yields in the several ten percent range) produced the Criegee fragment ion pairs, which are indicative of C═C db position(s). We used our technique for visualizing the differential distribution of Δ9 and Δ11 isomers of phosphatidylcholines in mouse brain and in human colon samples with the desorption laser spot size 15 μm, emphasizing the potential of the technique to expose local isomer-specific metabolism of PLs.

Identifiants

pubmed: 32286046
doi: 10.1021/acs.analchem.0c00641
doi:

Substances chimiques

Ions 0
Phospholipids 0
Ozone 66H7ZZK23N
Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6245-6250

Auteurs

Eugene Moskovets (E)

MassTech Inc., Columbia, Maryland, United States.

Jens Soltwisch (J)

Institute for Hygiene, University of Münster, Münster, Germany.
Interdisciplinary Center for Clinical Research, University of Münster, Münster, Germany.

Klaus Dreisewerd (K)

Institute for Hygiene, University of Münster, Münster, Germany.
Interdisciplinary Center for Clinical Research, University of Münster, Münster, Germany.

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Classifications MeSH