Expanded Coverage of Phytocompounds by Mass Spectrometry Imaging Using On-Tissue Chemical Derivatization by 4-APEBA.
Kevin J ZemaitisVivian S LinAmir H AhkamiTanya E WinklerChristopher R AndertonDušan VeličkovićPublished in: Analytical chemistry (2023)
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.
Keyphrases
- mass spectrometry
- liquid chromatography
- high performance liquid chromatography
- gas chromatography
- high resolution
- tandem mass spectrometry
- high resolution mass spectrometry
- ms ms
- affordable care act
- electronic health record
- capillary electrophoresis
- simultaneous determination
- ultra high performance liquid chromatography
- gas chromatography mass spectrometry
- solid phase extraction
- liquid chromatography tandem mass spectrometry
- healthcare
- high throughput
- single molecule
- health insurance
- big data
- fluorescence imaging
- molecular dynamics simulations
- cell wall
- photodynamic therapy
- structural basis
- single cell