NeuroCirc

NeuroCirc integrates circRNA expression and circQTL data from the human brain to enable analysis of circRNA regulation, temporal dynamics during neuronal differentiation, and associations with genetic variation.

Key Features:

• Multi-type circRNA expression datasets: Aggregates extensive circRNA expression data from the human brain, including bulk brain tissue samples.
• circQTL integration: Incorporates circRNA quantitative trait loci (circQTL) data to link genetic variation with circRNA expression levels.
• Temporal expression analysis: Provides time-course expression profiles of circRNAs during neuronal differentiation and cellular maturation.

Scientific Applications:

• Functional studies: Prioritizes circRNAs for experimental validation based on integrated expression patterns and genetic associations.
• Genetic research: Enables investigation of the genetic underpinnings of circRNA regulation and implications for neurological traits and disorders.
• Developmental biology: Facilitates examination of circRNA roles across stages of neuronal differentiation and brain development.

Methodology:

Leverages large-scale datasets to harmonize diverse circRNA data and integrates circQTL and time-course expression information using bioinformatics tools and algorithms for data handling and visualization.