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Published on: July 14, 2022
Towards spatial lipid profiling by using mass spectrometry: analytical challenges and applications
Yaowei Liu1, Yihua Ou1, Hemi Luan2,3
1Department of Biomedical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.
Spatial lipidomics uses advanced techniques like mass spectrometry imaging (MSI) to map lipid distribution within tissues. This approach overcomes limitations of traditional methods, enabling new discoveries in disease mechanisms and biomarker identification.
Area of Science:
- Biochemistry
- Molecular Biology
- Systems Biology
Background:
- Lipidomics analyzes lipids, crucial for understanding biological processes and diseases.
- Traditional methods like LC-MS lose spatial lipid information, hindering analysis of tissue heterogeneity.
- Spatial omics technologies offer in situ analysis of lipid distribution.
Purpose of the Study:
- To review analytical strategies in spatial lipidomics.
- To focus on technical principles, advances, and applications of spatial multi-omics integration.
- To discuss challenges and future directions in spatial lipidomics.
Main Methods:
- Review of mass spectrometry imaging (MSI) and laser capture microdissection (LCM).
- Analysis of spatial multi-omics integration techniques.
- Discussion of conventional lipidomics (LC-MS) limitations.
Main Results:
- Spatial lipidomics preserves lipid distribution information lost in traditional methods.
- MSI and LCM enable in situ and visual investigation of lipid spatial distribution.
- Spatial multi-omics integration provides new insights into lipid heterogeneity.
Conclusions:
- Spatial lipidomics overcomes the loss of spatial information in conventional methods.
- It opens new avenues for exploring disease mechanisms and discovering biomarkers in the spatial dimension.
- Further technological development is needed for quantitative accuracy, isomer identification, and localization precision.
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