Spatial transcriptomic profiling of stomach tissues from sheep and horse using Stereo-seq. The dataset was generated to investigate the spatial organization of gastric cell types and to validate cell-type-specific expression patterns identified by single-cell RNA-seq. Sheep samples covered the four stomach chambers, while horse stomach was included as a monogastric reference. Spatial transcriptomic data were integrated with matched single-cell RNA-seq datasets for cell-type mapping and comparative analysis of stomach specialization.

Stomach tissues were collected from two adult sheep and one adult horse. For sheep, tissue sections were obtained from the four stomach chambers, including the rumen, reticulum, omasum and abomasum. Horse stomach tissue was collected as a monogastric reference. Fresh tissue sections were processed for spatial transcriptomic profiling using the Stereo-seq platform. Spatial gene-expression matrices were generated from sequencing data and subsequently aggregated into bin50 pseudospots for downstream analysis. Single-cell RNA-seq datasets from the corresponding stomach tissues were used as references for spatial cell-type deconvolution with Cell2location. The resulting spatial transcriptomic data were used to map gastric cell types and visualize the spatial expression of representative genes.