Aquila: a spatial omics database and analysis platform. Issue Volume 51:Issue D1(2023) (16th October 2022)

• Record Type: Journal Article
• Authors: Zheng, Yimin; Chen, Yitian; Ding, Xianting; Wong, Koon Ho; Cheung, Edwin
• Is Part Of: Nucleic acids research. Volume 51:Issue D1(2023)
• Page Start: D827
• Page End: D834
• Publication Date: 2022-10-16
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac874
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Spatial omics is a rapidly evolving approach for exploring tissue microenvironment and cellular networks by integrating spatial knowledge with transcript or protein expression information. However, there is a lack of databases for users to access and analyze spatial omics data. To address this limitation, we developed Aquila, a comprehensive platform for managing and analyzing spatial omics data. Aquila contains 107 datasets from 30 diseases, including 6500+ regions of interest, and 15.7 million cells. The database covers studies from spatial transcriptome and proteome analyses, 2D and 3D experiments, and different technologies. Aquila provides visualization of spatial omics data in multiple formats such as spatial cell distribution, spatial expression and co-localization of markers. Aquila also lets users perform many basic and advanced spatial analyses on any dataset. In addition, users can submit their own spatial omics data for visualization and analysis in a safe and secure environment. Finally, Aquila can be installed as an individual app on a desktop and offers the RESTful API service for power users to access the database. Overall, Aquila provides a detailed insight into transcript and protein expression in tissues from a spatial perspective. Aquila is available at https://aquila.cheunglab.org .