The Mouse Models of Human Cancer database (MMHCdb)

Area of Science:

• Oncology
• Genomics
• Bioinformatics

Background:

• Laboratory mice are crucial for studying human cancer genetics and genomics.
• Existing mouse cancer models lack standardized nomenclature and annotation, hindering data aggregation.
• Thousands of mouse models exist, but knowledge compilation is challenging due to data inconsistencies.

Purpose of the Study:

• To introduce the Mouse Models of Human Cancer database (MMHCdb) as a standardized resource.
• To address the lack of compliance with nomenclature and annotation standards in published literature.
• To facilitate comprehensive and accurate searches for mouse models of human cancer.

Main Methods:

• Expert curation of diverse mouse models including inbred strains, genetically engineered models, patient-derived xenografts, and diversity panels.
• Enforcement of FAIR-compliant nomenclature and annotation standards.
• Development of a comprehensive knowledgebase for mouse models of human cancer.

Main Results:

• The MMHCdb provides a FAIR-compliant knowledgebase for mouse cancer models.
• The database enforces standardized nomenclature and annotation for genes, alleles, strains, and cancer types.
• It supports accurate and complete searches for mouse models and associated data.

Conclusions:

• The MMHCdb enhances the analysis of genetic background effects on tumor incidence and presentation.
• It aids in assessing the suitability of different mouse strains for modeling human cancer biology and treatment response.
• Standardization through MMHCdb improves the utility of mouse models in cancer research.