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Comprehensive mapping of neurotransmitter networks by MALDI–MS imaging

Authors :
Luay Katan
Patrik Källback
Erwan Bezard
Theodosia Vallianatou
Per Svenningsson
Per E. Andrén
Anna Nilsson
Ioannis Mantas
Jonas Sävmarker
Elva Fridjonsdottir
Xiaoqun Zhang
Luke R. Odell
Mohammadreza Shariatgorji
Source :
Nature Methods. 16:1021-1028
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

We present a mass spectrometry imaging (MSI) approach for the comprehensive mapping of neurotransmitter networks in specific brain regions. Our fluoromethylpyridinium-based reactive matrices facilitate the covalent charge-tagging of molecules containing phenolic hydroxyl and/or primary or secondary amine groups, including dopaminergic and serotonergic neurotransmitters and their associated metabolites. These matrices improved the matrix-assisted laser desorption/ionization (MALDI)–MSI detection limit toward low-abundance neurotransmitters and facilitated the simultaneous imaging of neurotransmitters in fine structures of the brain at a lateral resolution of 10 µm. We demonstrate strategies for the identification of unknown molecular species using the innate chemoselectivity of the reactive matrices and the unique isotopic pattern of a brominated reactive matrix. We illustrate the capabilities of the developed method on Parkinsonian brain samples from human post-mortem tissue and animal models. The direct imaging of neurotransmitter systems provides a method for exploring how various neurological diseases affect specific brain regions through neurotransmitter modulation. Mass spectrometry imaging with fluoromethylpyridinium-based reactive matrices allows mapping of neurotransmitters at high resolution and at a low limit of detection. The approach is applied to rat, macaque and human brain tissue samples for probing Parkinson’s disease-related changes.

Details

ISSN :
15487105 and 15487091
Volume :
16
Database :
OpenAIRE
Journal :
Nature Methods
Accession number :
edsair.doi.dedup.....d8f83981b764be2a5eef0c0fb8a1c371
Full Text :
https://doi.org/10.1038/s41592-019-0551-3