Discovering New Lipidomic Features Using Cell Type Specific Fluorophore Expression to Provide Spatial and Biological Specificity in a Multimodal Workflow with MALDI Imaging Mass Spectrometry

Marissa A. Jones, Sung Hoon Cho, Nathan Heath Patterson, Raf Van De Plas, Jeffrey M. Spraggins, Mark R. Boothby, Richard M. Caprioli

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

Identifying the spatial distributions of biomolecules in tissue is crucial for understanding integrated function. Imaging mass spectrometry (IMS) allows simultaneous mapping of thousands of biosynthetic products such as lipids but has needed a means of identifying specific cell-types or functional states to correlate with molecular localization. We report, here, advances starting from identity marking with a genetically encoded fluorophore. The fluorescence emission data were integrated with IMS data through multimodal image processing with advanced registration techniques and data-driven image fusion. In an unbiased analysis of spleens, this integrated technology enabled identification of ether lipid species preferentially enriched in germinal centers. We propose that this use of genetic marking for microanatomical regions of interest can be paired with molecular information from IMS for any tissue, cell-type, or activity state for which fluorescence is driven by a gene-tracking allele and ultimately with outputs of other means of spatial mapping.

Original languageEnglish
Pages (from-to)7079-7086
JournalAnalytical Chemistry
Volume92
Issue number10
DOIs
Publication statusPublished - 2020

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