Abstract: Alzheimer’s disease (AD) is the most common form of dementia. In addition to the lack of effective treatments, there are limitations in diagnostic capabilities. The complexity of AD itself, together with a variety of other diseases often observed in a patient’s history in addition to their AD diagnosis, make deciphering the molecular mechanisms that underlie AD, even more important. Large datasets of single-cell RNA sequencing, singlenucleus RNA-sequencing (snRNA-seq), and spatial transcriptomics (ST) have become essential in guiding and supporting new investigations into the cellular and regional susceptibility of AD. However, with unique technology, software, and larger databases emerging; a lack of integration of these data can contribute to ineffective use of valuable knowledge. Importantly, there was no specialized database that concentrates on ST in AD that offers comprehensive differential analyses under various conditions, such as sex-specific, region-specific, and comparisons between AD and control groups until the new Single-cell and Spatial RNA-seq databasE for Alzheimer’s Disease (ssREAD) database (Wang et al., 2024) was introduced to meet the scientific community’s growing demand for comprehensive, integrated, and accessible data analysis.