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

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Zenodo2025-12-02 更新2026-05-26 收录
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This Zenodo record provides all processed datasets, MAGPIE inputs, and analysis scripts associated with the MAGPIE manuscript (Williams et al). AbstractRecent 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 multimodal 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 multimodal analyses provide for studying tissue injury especially in pharmacological contexts, and delivers a modular, accessible workflow for data integration The repository is designed to enable reproducibility of integrative multi-omics analyses performed in the manuscript and facilitate extended analysis of the new and previously published datasets. 1. MAGPIE Inputs The file magpie_inputs.zip contains separate folders for each dataset used in the manuscript. Each folder includes: MSI data in a peak-by-pixel table (MSI_intensities) along with (x,y)-coordinates and other metadata (MSI_metadata) and (if available) an MSI H&E image (MSI_HE) Visium Space Ranger outputs (from outs/ folder) These inputs are ready to be used directly with the MAGPIE pipeline (see the MAGPIE GitHub repository). 2. Analysis scripts and processed data The figure_notebooks.zip file contains qmd files and rendered htmls showing how the manuscript figures were generated and data/ which contains processed semla objects and other saved outputs used by these scripts. For more details on the contents of this record, see README.md

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2025-12-02
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