title: Identifying mouse models for skin cancer using the Mouse Tumor Biology Database.
abstract: 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.
authors.affiliation: Department of Research and Development, The Jackson Laboratory, Bar Harbor, ME, USA.
authors.forename: Dale A
authors.initials: DA
authors.lastname: Begley
authors.forename: Debra M
authors.initials: DM
authors.lastname: Krupke
authors.forename: Steven B
authors.initials: SB
authors.lastname: Neuhauser
authors.forename: Joel E
authors.initials: JE
authors.lastname: Richardson
authors.forename: Paul N
authors.initials: PN
authors.lastname: Schofield
authors.forename: Carol J
authors.initials: CJ
authors.lastname: Bult
authors.forename: Janan T
authors.initials: JT
authors.lastname: Eppig
authors.forename: John P
authors.initials: JP
authors.lastname: Sundberg
mesh_terms: D000818:Animals; D016208:Databases, Factual; D004195:Disease Models, Animal; D006801:Humans; D051379:Mice; D009374:Neoplasms, Experimental / Q000235:genetics / Q000473:pathology; D012878:Skin Neoplasms / Q000235:genetics / Q000473:pathology
keywords: animal model; database; images; mouse; pathology; skin cancer; tumor