Automated, parallel mass spectrometry imaging and structural identification of lipids

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

doi:10.1038/s41592-018-0010-6

Cited by 184 publications

(203 citation statements)

References 25 publications

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“…This allows to retrieve amino acid sequence information of individual peptide and protein species in situ as well as for characterization of fatty acid patterns of lipids as recently presented with a very powerful approach for automated, in parallel MS/MS imaging (Ellis et al . ). Due to their high resolving power, FT mass analyzers are preferentially used within the pharmaceutical industry, where drugs are characterized by their intact mass and isotope pattern as reviewed in detail elsewhere (Prideaux and Stoeckli ).…”

Section: Maldi Imaging Msmentioning

confidence: 97%

Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology

Michno

Wehrli

Blennow

et al. 2018

Journal of Neurochemistry

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Recent advances in the understanding of basic pathological mechanisms in various neurological diseases depend directly on the development of novel bioanalytical technologies that allow sensitive and specific chemical imaging at high resolution in cells and tissues. Mass spectrometry-based molecular imaging (IMS) has gained increasing popularity in biomedical research for mapping the spatial distribution of molecular species in situ. The technology allows for comprehensive, untargeted delineation of in situ distribution profiles of metabolites, lipids, peptides and proteins. A major advantage of IMS over conventional histochemical techniques is its superior molecular specificity. Imaging mass spectrometry has therefore great potential for probing molecular regulations in CNS-derived tissues and cells for understanding neurodegenerative disease mechanism. The goal of this review is to familiarize the reader with the experimental workflow, instrumental developments and methodological challenges as well as to give a concise overview of the major advances and recent developments and applications of IMS-based protein and peptide profiling with particular focus on neurodegenerative diseases. This article is part of the Special Issue "Proteomics".

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Section: Maldi Imaging Msmentioning

confidence: 97%

Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology

Michno

Wehrli

Blennow

et al. 2018

Journal of Neurochemistry

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“…Several reported lipidome compositions from the literature were used to determine the coverage provided by LipidCreator ( Fig. 4) for the following organisms and tissues: (a) Human plasma 40 , (b) Human platelet 36 , (c) Mouse heart 35 , (d) Mouse platelet 36 , (e) Mouse brain 32,41 , (f) Yeast 34 , (g) Zebrafish 42 , (h) Drosophila 33,43 , (i) Arabidopsis 44 , and (j) E. coli [45][46][47] . We can show that the vast majority of reported lipids among the selected model organisms are supported by LipidCreator.…”

Section: Optimization Of Collision Energy and Library Generationmentioning

confidence: 99%

LipidCreator workbench to probe the lipidomic landscape

et al. 2020

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Mass spectrometry (MS)-based targeted lipidomics enables the robust quantification of selected lipids under various biological conditions but comprehensive software tools to support such analyses are lacking. Here we present LipidCreator, a software that fully supports targeted lipidomics assay development. LipidCreator offers a comprehensive framework to compute MS/MS fragment masses for over 60 lipid classes. LipidCreator provides all functionalities needed to define fragments, manage stable isotope labeling, optimize collision energy and generate in silico spectral libraries. We validate LipidCreator assays computationally and analytically and prove that it is capable to generate large targeted experiments to analyze blood and to dissect lipid-signaling pathways such as in human platelets.

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“…There is a growing realisation of the versatility and power of MSI to map the distribution of specific biomolecules at micrometer‐scale resolution across tissue sections . Functional MSI adds to the repertoire of these capabilities by providing, for the first time, a method to map the spatial distribution of enzymatic activity.…”

Section: Figurementioning

confidence: 99%

Mapping Enzyme Activity on Tissue by Functional Mass Spectrometry Imaging

et al. 2020

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Enzymes are central components of most physiological processes, and are consequently implicated in various pathologies. High‐resolution maps of enzyme activity within tissues therefore represent powerful tools for elucidating enzymatic functions in health and disease. Here, we present a novel mass spectrometry imaging (MSI) method for assaying the spatial distribution of enzymatic activity directly from tissue. MSI analysis of tissue sections exposed to phospholipid substrates produced high‐resolution maps of phospholipase activity and specificity, which could subsequently be compared to histological images of the same section. Functional MSI thus represents a new and generalisable method for imaging biological activity in situ.

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Automated, parallel mass spectrometry imaging and structural identification of lipids

Cited by 184 publications

References 25 publications

Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology

Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology

LipidCreator workbench to probe the lipidomic landscape

Mapping Enzyme Activity on Tissue by Functional Mass Spectrometry Imaging

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