Spatially resolved transcriptomic technologies are promising tools to study cell fate decisions in a physical microenvironment, which is fundamental for enhancing our knowledge of mammalian development.The DNA nanoball (DNB) patterned arrays and tissue RNA capture are combined to create SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq), which allows transcriptomic profiling of large histological sections with high resolution and sensitivity.

While the prior approaches tell us a great deal about the cell autonomous function of various cell types, they do little to illuminate the mechanisms by which specific distinct cell types within actual three-dimensional tumors interact within their niches, with disparate neighboring cell types to promote and sustain tumor growth. Understanding of these intercellular interactions requires the use of spatial genomic approaches. To address this challenge, we used Stereo-seq to identify the MB spatial/geographic cell-type patterns with single-nucleus resolution.