Aquila

Aquila provides a comprehensive database and analysis suite for spatial omics, enabling management, visualization, and spatial transcriptome and proteome analysis of 2D and 3D tissue data to study tissue microenvironments and cellular networks.

Key Features:

• Extensive Database: Hosts 107 datasets across 30 diseases, encompassing over 6,500 regions of interest and 15.7 million cells, including spatial transcriptome and proteome data from 2D and 3D experiments using various technologies.
• Visualization Capabilities: Provides visualizations of spatial cell distribution, expression patterns, and marker co-localization to explore spatial relationships within tissues.
• Analytical Tools: Supports basic and advanced spatial analyses of transcript and protein expression for investigating cellular interactions and tissue architecture.
• Data Submission and Security: Accepts user-submitted spatial omics datasets with secure data handling protocols.
• Integration via API: Exposes a RESTful API for programmatic access to the database and analytical functionality.

Scientific Applications:

• Cancer research: Enables spatial analysis of tumor organization and microenvironments relevant to diagnosis and treatment studies.
• Developmental biology: Allows mapping of gene expression patterns in developing tissues across 2D and 3D datasets.
• Tissue microenvironment analysis: Supports study of spatial arrangements and interactions among cell types within tissues.
• Cellular network mapping: Facilitates analysis of cell-cell co-localization and spatial interaction networks using transcriptomic and proteomic data.

Methodology:

Integrates diverse spatial omics datasets into a unified database and provides computational tools for visualization and spatial analysis, with secure data submission protocols.