Tandem Mass Spectrometry Imaging Enables High Definition for Mapping Lipids in Tissues

Mass spectrometry imaging (MSI) of lipids in biological tissues is useful for correlating molecular distribution with pathological results, which could provide useful information for both biological research and disease diagnosis. It is well understood that the lipidome could not be clearly decipher...

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Bibliographic Details
Published in:Angewandte Chemie International Edition 2023-02, Vol.62 (9), p.e202214804-n/a
Main Authors: Guo, Xiangyu, Cao, Wenbo, Fan, Xiaomin, Guo, Zhiying, Zhang, Donghui, Zhang, Haoyue, Ma, Xiaoxiao, Dong, Jiahong, Wang, Yunfang, Zhang, Wenpeng, Ouyang, Zheng
Format: Article
Language:English
Subjects:
Animals
Biological research
Diagnostic Imaging
Embedding
High definition
Humans
Image enhancement
Isomerism
Isomers
Lipid Biomarker
Lipid Isomer
Lipidomics
Lipids
Liver cancer
Mass spectrometry
Mass Spectrometry Imaging
Mass spectroscopy
Medical imaging
Mice
Molecular structure
MS/MS Imaging
Neuroimaging
Phospholipids
Photochemicals
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
Tandem Mass Spectrometry - methods
Tissues
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Summary:Mass spectrometry imaging (MSI) of lipids in biological tissues is useful for correlating molecular distribution with pathological results, which could provide useful information for both biological research and disease diagnosis. It is well understood that the lipidome could not be clearly deciphered without tandem mass spectrometry analysis, but this is challenging to achieve in MSI due to the limitation in sample amount at each image spot. Here we develop a multiplexed MS2 imaging (MS2I) method that can provide MS2 images for 10 lipid species or more for each sampling spot, providing spatial structural lipidomic information. Coupling with on‐tissue photochemical derivatization, imaging of 20 phospholipid C=C location isomers is also realized, showing enhanced molecular images with high definition in structure for mouse brain and human liver cancer tissue sections. Spatially mapped t‐distributed stochastic neighbor embedding has also been adopted to visualize the tumor margin with enhancement by structural lipidomic information. A multiplexed MS/MS imaging method is developed that can provide MS2 images for 10 lipid species or more for each sampling spot on tissue samples. Coupling with on‐tissue photochemical derivatization, this method enables sensitive imaging of multiple phospholipid C=C location isomers in cancerous tissue sections.
ISSN:1433-7851
1521-3773
DOI:10.1002/anie.202214804