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Spatially resolved integrative analysis of transcriptomic and metabolomic changes in tissue injury studies
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DOI：10.1038/s41467-025-68003-w.png)
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Abstract
En 中文
Recent developments in spatially resolved -omics have enabled the joint study of gene expression, metabolite levels and tissue morphology, offering greater insights into biological pathways. Integrating these modalities from matched tissue sections to probe spatially-coordinated processes, however, remains challenging. Here we introduce MAGPIE, a framework for co-registering spatially resolved transcriptomics, metabolomics, and tissue morphology from the same or consecutive sections. We show MAGPIE’s generalisability and scalability on spatial multi-omics data from multiple tissues, combining Visium with MALDI and DESI mass spectrometry imaging. MAGPIE was also applied to new multi-modal datasets generated with a specialised sampling strategy to characterise the metabolic and transcriptomic landscape in an in vivo model of drug-induced pulmonary fibrosis and to link small-molecule co-detection with endogenous lung responses. MAGPIE demonstrates the refined resolution and enhanced interpretability that spatial multi-modal analyses provide for studying tissue injury especially in pharmacological contexts, and delivers a modular, accessible workflow for data integration. MAGPIE is a computational framework for co-registering spatially-resolved transcriptomics, metabolomics and tissue morphology for integrated downstream analysis. Case studies across lung, brain and breast reveal coordinated cross-modality molecular changes.
Keywords:
Spatial transcriptomics
Metabolomics
Tissue morphology
Multi-omics integration
Spatial co-registration
Journal
IF:
15.7
Papers:
9.2W
Citations:
91.2W
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