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The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.
Krupke, Debra M; Begley, Dale A; Sundberg, John P; Richardson, Joel E; Neuhauser, Steven B; Bult, Carol J.
Afiliación
  • Krupke DM; The Jackson Laboratory, Bar Harbor, Maine.
  • Begley DA; The Jackson Laboratory, Bar Harbor, Maine.
  • Sundberg JP; The Jackson Laboratory, Bar Harbor, Maine.
  • Richardson JE; The Jackson Laboratory, Bar Harbor, Maine.
  • Neuhauser SB; The Jackson Laboratory, Bar Harbor, Maine.
  • Bult CJ; The Jackson Laboratory, Bar Harbor, Maine. carol.bult@jax.org.
Cancer Res ; 77(21): e67-e70, 2017 11 01.
Article en En | MEDLINE | ID: mdl-29092943
Research using laboratory mice has led to fundamental insights into the molecular genetic processes that govern cancer initiation, progression, and treatment response. Although thousands of scientific articles have been published about mouse models of human cancer, collating information and data for a specific model is hampered by the fact that many authors do not adhere to existing annotation standards when describing models. The interpretation of experimental results in mouse models can also be confounded when researchers do not factor in the effect of genetic background on tumor biology. The Mouse Tumor Biology (MTB) database is an expertly curated, comprehensive compendium of mouse models of human cancer. Through the enforcement of nomenclature and related annotation standards, MTB supports aggregation of data about a cancer model from diverse sources and assessment of how genetic background of a mouse strain influences the biological properties of a specific tumor type and model utility. Cancer Res; 77(21); e67-70. ©2017 AACR.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Genéticas / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cancer Res Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Genéticas / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cancer Res Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos