Unknown

Dataset Information

Spatially resolved integrative analysis of transcriptomic and metabolomic changes in tissue injury studies.


ABSTRACT: 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 transcriptomi

SUBMITTER: Williams EC 

PROVIDER: S-EPMC12780049 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature