Document Type
Article
Publication Date
4-1-2023
Original Citation
Begley DA,
Krupke D,
Sundberg J,
Jocoy E,
Richardson J,
Neuhauser S,
Bult C.
The Mouse Models of Human Cancer database (MMHCdb). Dis Model Mech. 2023;16(4):dmm050001.
Keywords
JMG, Humans, Mice, Animals, Disease Models, Animal, Genomics, Neoplasms, Alleles, Databases, Genetic
JAX Source
Dis Model Mech. 2023;16(4):dmm050001.
ISSN
1754-8411
PMID
36967676
DOI
https://doi.org/10.1242/dmm.050001
Grant
This work was supported by the National Cancer Institute (CA R01089713). Open Access funding provided by The Jackson Laboratory.
Abstract
The laboratory mouse has served for decades as an informative animal model system for investigating the genetic and genomic basis of cancer in humans. Although thousands of mouse models have been generated, compiling and aggregating relevant data and knowledge about these models is hampered by a general lack of compliance, in the published literature, with nomenclature and annotation standards for genes, alleles, mouse strains and cancer types. The Mouse Models of Human Cancer database (MMHCdb) is an expertly curated, comprehensive knowledgebase of diverse types of mouse models of human cancer, including inbred mouse strains, genetically engineered mouse models, patient-derived xenografts, and mouse genetic diversity panels such as the Collaborative Cross. The MMHCdb is a FAIR-compliant knowledgebase that enforces nomenclature and annotation standards, and supports the completeness and accuracy of searches for mouse models of human cancer and associated data. The resource facilitates the analysis of the impact of genetic background on the incidence and presentation of different tumor types, and aids in the assessment of different mouse strains as models of human cancer biology and treatment response.
Comments
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.