In contrast to single-cell transcriptomics, spatial transcriptomics approaches preserve the localized gene expression across tissue architectures, illuminating cellular and genomic heterogeneity in a histological context. However, cellular resolution remains a significant limitation of unbiased whole transcriptome spatial methodologies, wherein each capture spot contains the transcripts of 1-10 cells rather than providing single-cell resolution. To overcome this limitation, great attention has been drawn to integrated single-cell and spatial transcriptomics methodologies, in which the spatial transcriptomic profiles of tissues can be deconvoluted using single-cell transcriptomic data. The ongoing work in the Bhasin Lab leverages this integrated approach to elucidate the cellular and transcriptomic landscapes of the tissues over the pathogenesis of vascular disease and cancers.