Fig. 1: Framework for discovery of plaque-related lipids with multimodal mass spectrometry and fluorescence imaging and computational methods. | Nature Communications

Fig. 1: Framework for discovery of plaque-related lipids with multimodal mass spectrometry and fluorescence imaging and computational methods.

From: Multimodal mass spectrometry imaging for plaque- and region-specific neurolipidomics in Alzheimer’s disease mouse models

Fig. 1

Obtained from extracted mouse brain, cryosections are imaged using MALDI-2 TIMS MS, followed by Aβ staining on the same-section and fluorescence imaging. The images are coregistered and plaque-associated pixels and brain regions are automatically extracted from MSI data. In our data analysis workflow, plaque-enriched and depleted lipids are determined from multiple hypothesis testing and visualized by volcano plots and subtraction spectra. Plaque-association is confirmed by inspection of ion images for discovered features. Next, we applied machine learning techniques to determine the extent of heterogeneity within plaque pixels across and within different brain regions. We then integrated MSI data with publicly available spatial transcriptomic data to provide insight into the mechanisms of plaque-accumulation in Aβ plaques.

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