Toward Mass Spectrometry Imaging in the Metabolomics Scale: Increasing Metabolic Coverage Through Multiple On-Tissue Chemical Modifications

dc.contributor.author Dueñas, Maria
dc.contributor.author Lee, Young Jin
dc.contributor.author Larson, Evan
dc.contributor.author Lee, Young Jin
dc.contributor.department Ames Laboratory
dc.contributor.department Chemistry
dc.date 2019-09-12T01:34:22.000
dc.date.accessioned 2020-06-30T01:16:53Z
dc.date.available 2020-06-30T01:16:53Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.issued 2019-07-12
dc.description.abstract <p>Exploring the metabolic differences directly on tissues is essential for the comprehensive understanding of how multicellular organisms function. Mass spectrometry imaging (MSI) is an attractive technique toward this goal; however, MSI in metabolomics scale has been hindered by multiple limitations. This is most notable for single cell level high-spatial resolution imaging because of the limited number of molecules in small sampling size and the low ionization yields of many metabolites. Several on-tissue chemical derivatization approaches have been reported to increase MSI signals of targeted compounds, especially in matrix-assisted laser desorption/ionization (MALDI)- MSI. Herein, we adopt a combination of chemical derivatization reactions, to selectively enhance metabolite signals of a specific functional group for each consecutive tissue section. Three well-known on-tissue derivatization methods were used as a proof of concept experiment: coniferyl aldehyde for primary amines, Girard’s reagent T for carbonyl groups, and 2-picolylamine for carboxylic acids. This strategy was applied to the cross-sections of leaves and roots from two different maize genotypes (B73 and Mo17), and enabled the detection of over six hundred new unique metabolite features compared to without modification. Statistical analysis indicated quantitative variation between metabolites in the tissue sections, while MS images revealed differences in localization of these metabolites. Combined, this untargeted approach facilitated the visualization of various classes of compounds, demonstrating the potential for untargeted MSI in the metabolomics scale.</p>
dc.description.comments <p>This article is published as Dueñas, Maria Emilia, Evan Larson, and Young Jin Lee. "Towards Mass Spectrometry Imaging in the Metabolomics Scale: Increasing Metabolic Coverage through Multiple On-Tissue Chemical Modifications." <em>Frontiers in Plant Science</em> 10 (2019): 860. DOI: <a href="http://dx.doi.org/10.3389/fpls.2019.00860" target="_blank">10.3389/fpls.2019.00860</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/chem_pubs/1134/
dc.identifier.articleid 2137
dc.identifier.contextkey 14914287
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath chem_pubs/1134
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/14439
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/chem_pubs/1134/2019_LeeYoungJin_TowardsMass.pdf|||Fri Jan 14 18:48:01 UTC 2022
dc.source.uri 10.3389/fpls.2019.00860
dc.subject.disciplines Molecular Genetics
dc.subject.disciplines Organic Chemistry
dc.subject.disciplines Other Chemistry
dc.subject.disciplines Plant Sciences
dc.subject.keywords mass spectrometry imaging
dc.subject.keywords metabolomics
dc.subject.keywords on-tissue derivatization
dc.subject.keywords high-spatial resolution
dc.subject.keywords maize
dc.subject.keywords single cell
dc.title Toward Mass Spectrometry Imaging in the Metabolomics Scale: Increasing Metabolic Coverage Through Multiple On-Tissue Chemical Modifications
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 25913818-6714-4be5-89a6-f70c8facdf7e
relation.isOrgUnitOfPublication 42864f6e-7a3d-4be3-8b5a-0ae3c3830a11
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