Identifying mouse models for skin cancer using the Mouse Tumor Biology Database

In recent years, the scientific community has generated an ever‐increasing amount of data from a growing number of animal models of human cancers. Much of these data come from genetically engineered mouse models. Identifying appropriate models for skin cancer and related relevant genetic data sets f...

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Bibliographic Details
Published in:Experimental dermatology 2014-10, Vol.23 (10), p.761-763
Main Authors: Begley, Dale A., Krupke, Debra M., Neuhauser, Steven B., Richardson, Joel E., Schofield, Paul N., Bult, Carol J., Eppig, Janan T., Sundberg, John P.
Format: Article
Language:English
Subjects:
animal model
Animals
Databases, Factual
Disease Models, Animal
Humans
Mice
mouse
Neoplasms, Experimental - genetics
Neoplasms, Experimental - pathology
pathology
skin cancer
Skin Neoplasms - genetics
Skin Neoplasms - pathology
tumor
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Summary:In recent years, the scientific community has generated an ever‐increasing amount of data from a growing number of animal models of human cancers. Much of these data come from genetically engineered mouse models. Identifying appropriate models for skin cancer and related relevant genetic data sets from an expanding pool of widely disseminated data can be a daunting task. The Mouse Tumor Biology Database (MTB) provides an electronic archive, search and analysis system that can be used to identify dermatological mouse models of cancer, retrieve model‐specific data and analyse these data. In this report, we detail MTB's contents and capabilities, together with instructions on how to use MTB to search for skin‐related tumor models and associated data.
ISSN:0906-6705
1600-0625
DOI:10.1111/exd.12512