circ2GO

circ2GO catalogs circular RNAs and links their expression, isoform mappings, Gene Ontology associations, and predicted microRNA interactions derived from rRNA-depleted deep transcriptomic data across 60 lung cancer and non-transformed cell lines.

Key Features:

• Extensive dataset: Contains 148,811 human circular RNAs derived from 12,251 genes profiled from deep transcriptomic analyses after rRNA depletion across a panel of 60 lung cancer and non-transformed cell lines.
• Gene mapping and visualization: Maps circRNA expression to all isoforms of host genes and provides transcript maps and heatmaps showing circRNA abundance across transcripts and cell lines.
• Functional linkage via Gene Ontology (GO): Integrates Gene Ontology (GO) annotations for all genes to associate circRNAs with host gene biological functions and molecular mechanisms.
• MicroRNA target prediction: Provides predicted circRNA–microRNA interactions for 25,166 highly abundant circRNAs from 6,578 genes against 897 high-confidence human miRNAs.

Scientific Applications:

• Lung cancer molecular research: Enables identification and prioritization of circRNAs relevant to lung cancer by combining expression profiling, isoform mapping, GO associations, and miRNA target predictions.
• Functional and regulatory hypothesis generation: Supports discovery of circRNAs potentially involved in cellular processes, regulatory networks, disease progression, and candidate therapeutic targets.

Methodology:

Built from deep transcriptomic analyses after rRNA depletion across 60 cell lines; circRNA expression was mapped to all host gene isoforms; transcript maps and heatmaps were generated; Gene Ontology annotations were integrated; and circRNA–miRNA interactions were predicted for 25,166 circRNAs against 897 human miRNAs.