Highly resolved tumor architecture via matched spatial and nucleus transcriptomics from a single tissue section
Spatial transcriptomics often relies on reference-based deconvolution to infer cell types in a tissue context; however, public single-cell datasets can miss patient-specific biology. Here we introduce SIMPlex, a method that generates matched spatial and single-nucleus gene-expression profiles from the same 5 µm FFPE se...