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Expanded Coverage of Phytocompounds by Mass Spectrometry Imaging Using On-Tissue Chemical Derivatization by 4-APEBA.
Zemaitis, Kevin J; Lin, Vivian S; Ahkami, Amir H; Winkler, Tanya E; Anderton, Christopher R; Velickovic, Dusan.
Affiliation
  • Zemaitis KJ; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Lin VS; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Ahkami AH; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Winkler TE; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Anderton CR; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Velickovic D; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Anal Chem ; 95(34): 12701-12709, 2023 08 29.
Article in En | MEDLINE | ID: mdl-37594382
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biological Assay / Aldehydes Language: En Journal: Anal Chem Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biological Assay / Aldehydes Language: En Journal: Anal Chem Year: 2023 Type: Article Affiliation country: United States