Abstract
<title>Abstract</title> <p> Background The adrenal gland is believed to depend on spatial zonation for hormone synthesis. Despite this, high-resolution transcriptomic atlases that preserve this architecture remain relatively scarce. While bulk and single-cell approaches have provided foundational insights, both inherently sacrifice spatial context—a limitation that spatially resolved methods may help address. Methods Publicly available data from human adrenal tissues (n = 10 donors; 5 male, 5 female; median age 46 years) were retrieved and curated. Using the 10x Genomics Visium platform, we applied a standardized reprocessing pipeline involving Space Ranger alignment, systematic quality filtering, and spatial coordinate mapping to generate harmonized data objects. Results The curated dataset comprises approximately 50,000 tissue-covered spots, with a median of 3,150 genes detected per spot. Notably, canonical marker genes ( <italic>CYP11B2, CYP11B1, SULT2A1, CHGA)</italic> demonstrated expected zonal localization across the Zona Glomerulosa, Fasciculata, Reticularis, and Medulla—suggesting accurate spatial registration. However, the spot-level resolution of the Visium platform (55 µm diameter) does not resolve individual cells, which may limit certain downstream applications. Conclusions By providing uniformly reprocessed, ready-to-use data objects with comprehensive metadata, this openly accessible resource may accelerate computational modeling, biomarker discovery, and comparative endocrine oncology research. The repository includes raw histology images, processed AnnData objects, and harmonized donor metadata. </p>