Visualizing spatial distribution of small molecules in the rhubarb stalk ( Rheum rhabarbarum ) by surface-transfer mass spectrometry imaging

2017 ◽  
Vol 139 ◽  
pp. 72-80 ◽  
Author(s):  
Joanna Nizioł ◽  
Justyna Sekuła ◽  
Tomasz Ruman
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Small Molecules ◽  
Mass Spectrometry Imaging

scholarly journals Mapping the influence of the gut microbiota on small molecules in the brain through mass spectrometry imaging

2020 ◽  
Author(s):  
Heather Hulme ◽  
Lynsey M. Meikle ◽  
Nicole Strittmatter ◽  
John Swales ◽  
Gregory Hamm ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Gut Microbiota ◽  
Small Molecules ◽  
Mass Spectrometry Imaging ◽  
Label Free ◽  
Germ Free ◽  
Imaging Tool ◽  
And Control ◽  
The Brain

AbstractBackgroundThe gut microbiota is known to influence virtually all facets of human health. Recent work has highlighted a potential role for the gut microbiota in neurological health through the microbiome-gut-brain axis. Microbes can influence the brain both directly and indirectly; through neurotransmitter production, induction of host immunomodulators, or through the release or induction of other microbial or host molecules.MethodsHere we used mass spectrometry imaging (MSI), a label-free imaging tool, to map the molecular changes that occur in the murine gut and brain in germ-free, antibiotic-treated and control mice.ResultsWe determined the spatial distribution and relative quantification of neurotransmitters and their precursors across brain and gut sections in response to the microbiome. Using untargeted MSI of small molecules, we detected a significant change in the levels of four identified metabolites in the brains of germ-free animals compared to controls; vitamin B5, 3-hydroxy-3-methylglutaric acid, 3-methyl-4-(trimethylammonio)butanoate and 4-(trimethylammonio)pentanoate. However, antibiotic treatment induced no significant changes in these metabolites in the brain after one week of treatment.ConclusionsThis work exemplifies the utility of MSI as a tool in determining the spatial distribution and quantification of bacterial and host metabolites in the gut and brain whilst also offering the potential for discovery of novel mediators of microbiome-gut-brain axis communication.

scholarly journals Unveiling the spatial distribution of aflatoxin B1 and plant defense metabolites in maize using AP‐SMALDI mass spectrometry imaging

2021 ◽  
Author(s):  
Laura Righetti ◽  
Dhaka Ram Bhandari ◽  
Enrico Rolli ◽  
Sara Tortorella ◽  
Renato Bruni ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Plant Defense ◽  
Aflatoxin B1 ◽  
Mass Spectrometry Imaging

scholarly journals Spermidine and other functional phytochemicals in soybean seeds: Spatial distribution as visualized by mass spectrometry imaging

2019 ◽  
Vol 8 (1) ◽  
pp. 675-682 ◽  
Author(s):  
Tatsuya Sagara ◽  
Dhaka Ram Bhandari ◽  
Bernhard Spengler ◽  
Johann Vollmann
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Mass Spectrometry Imaging ◽  
Soybean Seeds

scholarly journals Mass spectrometry imaging: linking molecule profiles to tissue spatial distribution

2013 ◽  
Vol 10 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Hassan Dihazi ◽  
Rainer Bohrer ◽  
Olaf Jahn ◽  
Christof Lenz ◽  
Andrzej Majcherczyk ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Mass Spectrometry Imaging

scholarly journals Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
G. Guo ◽  
M. Papanicolaou ◽  
N. J. Demarais ◽  
Z. Wang ◽  
K. L. Schey ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
High Resolution ◽  
Mass Spectrometry Imaging ◽  
Direct Detection ◽  
High Mass ◽  
Imaging Data ◽  
Distribution Maps ◽  
Automated Annotation ◽  
Peptide Mass

AbstractSpatial proteomics has the potential to significantly advance our understanding of biology, physiology and medicine. Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a powerful tool in the spatial proteomics field, enabling direct detection and registration of protein abundance and distribution across tissues. MALDI-MSI preserves spatial distribution and histology allowing unbiased analysis of complex, heterogeneous tissues. However, MALDI-MSI faces the challenge of simultaneous peptide quantification and identification. To overcome this, we develop and validate HIT-MAP (High-resolution Informatics Toolbox in MALDI-MSI Proteomics), an open-source bioinformatics workflow using peptide mass fingerprint analysis and a dual scoring system to computationally assign peptide and protein annotations to high mass resolution MSI datasets and generate customisable spatial distribution maps. HIT-MAP will be a valuable resource for the spatial proteomics community for analysing newly generated and retrospective datasets, enabling robust peptide and protein annotation and visualisation in a wide array of normal and disease contexts.

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