SENNA: Analytical Mapping of Spots in Spatially Resolved Transcriptomics Dataset to Flexible User-defined Curve Axes

This study provides a spatially resolved transcriptome dataset generated from four different human thymus tissue sections to validate our novel computational framework, SENNA. Gene expression was profiled using the 10x Genomics Visium platform. The primary goal of this experiment was to analyze continuous gene expression changes and cell type distributions along a defined axis from the cortex to the medulla. This dataset was used to demonstrate SENNA's ability to identify spatially variable genes along a user-defined, non-linear path within spatial transcriptomics data.