Expanded Coverage of Phytocompounds by Mass Spectrometry Imaging Using On-Tissue Chemical Derivatization by 4‑APEBA

• Published in: Analytical chemistry (Washington) Vol. 95; no. 34; pp. 12701 - 12709
• Main Authors: Zemaitis, Kevin J., Lin, Vivian S., Ahkami, Amir H., Winkler, Tanya E., Anderton, Christopher R., Veličković, Dušan
• Format: Journal Article
• Language: English
• Published: Washington American Chemical Society 29.08.2023; American Chemical Society (ACS)
• Subjects: Aldehydes; Annotations; BASIC BIOLOGICAL SCIENCES; Bioinformatics; Bromine; Bromine isotopes; Carbonyl compounds; Carbonyls; Carboxylates; Cell interactions; Cellular communication; Cellular stress response; Chemistry; Data processing; Derivatization; FTICR; INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Ionization; Ions; Isotopes; MALDI-MSI; Mass spectrometry; Mass spectroscopy; Metabolism; Metabolites; Metabolomics; Negative ions; Plants; Scientific imaging; Soybeans; Surface analysis; Workflow
• ISSN: 0003-2700; 1520-6882
• DOI: 10.1021/acs.analchem.3c01345

Probing the entirety of any species metabolome is an analytical grand challenge, especially on a cellular scale. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a common spatial metabolomics assay, but this technique has limited molecular coverage for several reasons. To expand the application space of spatial metabolomics, we developed an on-tissue chemical derivatization (OTCD) workflow using 4-APEBA for the confident identification of several dozen elusive phytocompounds. Overall, this new OTCD method enabled the annotation of roughly 280 metabolites, with only a 10% overlap in metabolic coverage when compared to analog negative ion mode MALDI-MSI on serial sections. We demonstrate that 4-APEBA outperforms other derivatization agents by providing: (1) broad specificity toward carbonyls, (2) low background, and (3) introduction of bromine isotopes. Notably, the latter two attributes also facilitate more confidence in our bioinformatics for data processing. The workflow detailed here trailblazes a path toward spatial hormonomics within plant samples, enhancing the detection of carboxylates, aldehydes, and plausibly other carbonyls. As such, several phytohormones, which have various roles within stress responses and cellular communication, can now be spatially profiled, as demonstrated in poplar root and soybean root nodule.