circAge

circAge compiles aging-associated circular RNAs across multiple species and tissues to facilitate research into aging mechanisms and potential therapeutic targets.

Key Features:

• Multi-species and multi-tissue coverage: The database encompasses 756 aging-related samples from 7 species and 24 tissue types, including 47 newly generated tissue samples from mice and rhesus monkeys through high-throughput sequencing.
• Large-scale circRNA identification: Integration of predictions from multiple bioinformatics tools identified over 529,856 unique circRNAs.
• Expression pattern analysis: Data analysis revealed a general increase in circRNA expression levels with age, with approximately 23% of circRNAs demonstrating sequence conservation across species.
• Interaction prediction: The database systematically predicts potential interactions between circRNAs, microRNAs (miRNAs), and RNA-binding proteins (RBPs).
• Coding potential assessment: circAge evaluates the coding potential of circRNAs.

Scientific Applications:

• Aging mechanism research: The resource lays a foundation for elucidating the regulatory mechanisms of circRNAs in aging.
• Biomarker discovery: circAge accelerates the discovery of novel biomarkers for aging biology.
• Therapeutic target identification: The database supports identification of therapeutic targets for aging and age-related diseases.
• Diagnostic and therapeutic strategy development: The resource supports the development of diagnostic and therapeutic strategies for aging and age-related diseases.

Methodology:

circAge integrates data from high-throughput sequencing and predictions from multiple bioinformatics tools to identify circRNAs, predict interactions between circRNAs, miRNAs, and RBPs, and assess circRNA coding potential.