Program

Poster Presentations

Day 3, June 12（Fri.）　　Room P (5F 501+502)

3P-15

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A Multimodal Lipidomics Platform to Map the Brain Lipid Landscape in Mice

(¹Tokyo Univ. Agr. Tech., ²Kyoto Univ., ³Bio2Q, ⁴Science Tokyo, ⁵RIKEN IMS)
^oRana Yamamoto¹, Nami Sakamoto¹, Kuniyoshi Shimizu², Yuki Sugiura³, Shinya Honda⁴, Junki Miyamoto¹, Qingshun Lin⁵, Koshi Imami⁵, Hiroshi Tsugawa^1,2

Mass spectrometry (MS)–based lipidomics is widely used in life science research. However, its analytical depth remains far behind that of transcriptomics. Comprehensive characterization of lipid metabolite diversity, together with identification of their spatial localization and cellular origin, is essential for elucidating the molecular mechanisms underlying biological phenomena. In this study, we established an experimental platform, within available materials and equipment, to acquire three modality datasets suitable for integrative analysis using mathematical modeling. High-spatial-resolution lipidomics using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) demonstrated that a cost-effective manual matrix application method generated imaging data comparable to those obtained with automated deposition systems. Low-spatial-resolution lipidomics using laser microdissection (LMD) and liquid chromatography–tandem mass spectrometry (LC-MS/MS) was integrated into a unified 96-well plate workflow. Using this protocol, we obtained qualitative and quantitative data for 283 lipid metabolites from mouse brain sections corresponding to 2.5 × 103 cells, suggesting improved quantitative spatial information. Finally, cell type lipidomics based on cellular fractionation identified and quantified 877 lipid metabolites, revealing distinct lipid profiles in the analyzed cell types.

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