The BRENDA Tissue Ontology (BTO)

The BRENDA Tissue Ontology (BTO) provides a curated ontology of anatomical structures, tissues, cell types, and cell lines to connect BRENDA enzyme data to their source tissues and cell types.

Key Features:

• Structured Classification: Encompasses over 4,600 terms for anatomical structures, tissues, cell types, and cell lines organized in a directed acyclic graph (DAG) and formatted according to Gene Ontology Consortium rules.
• Curated Content: Each term includes comments detailing derivation or definitions and the ontology is curated with approximately 1,000 new terms added annually.
• Relationships and Connectivity: Implements four distinct types of relationships between terms to represent nuanced connections within the ontology.
• Linkage to BRENDA enzyme data: Maps ontology terms to enzyme source tissues to associate enzyme entries in the BRENDA database with specific tissues and cell types.

Scientific Applications:

• Enzyme detection: Enables identification and association of enzymes with specific tissues by mapping enzyme data to ontology terms.
• Text-mining approaches: Provides a structured vocabulary for text-mining to extract tissue-related biological information from large datasets.
• Database curation: Supports consistent annotation of tissue-related data in genomic and biochemical databases.

Methodology:

Organized as a directed acyclic graph (DAG) using Gene Ontology Consortium rules and formats and implementing four relationship types.