Using optimal transport to locate aging cells in spatial gene expression data

scDOT improves spatial transcriptomics analysis by integrating single cell RNA sequencing to enhance the resolution of single cell maps.

• The method combines spatial transcriptomics and single cell RNA sequencing to better reconstruct spatial maps at the single cell level.
• scDOT employs advanced mathematical techniques to learn complex relationships between cells and their spatial locations.
• Application of scDOT to lung tissue data enhances the identification of senescent cells and their interactions with neighboring cells.
• Novel genes involved in cell-cell interactions that may influence senescence are detected using this approach.

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