Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope

Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope

The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our understanding of tissue spatial architecture and biology. Although current ST methods, whether based on next-generation sequencing (seq-based approaches) or fluorescence in situ hybridization (image-based approaches), offer valuable insights, they face limitations either in cellular resolution or transcriptome-wide profiling. To address these limitations, we …

Spatial Mapping of Transcriptomic Plasticity in Metastatic Pancreatic Cancer

Researchers constructed high-resolution maps of lineage states, clonal architecture, and the tumor microenvironment using spatially resolved transcriptomics from 55 samples of primary tumor and metastases collected from rapid autopsies of 13 people. [Nature] Abstract