Krupke Debra M, Begley Dale A, Sundberg John P, Richardson Joel E, Neuhauser Steven B, Bult Carol J
The Jackson Laboratory, Bar Harbor, Maine.
Cancer Res. 2017 Nov 1;77(21):e67-e70. doi: 10.1158/0008-5472.CAN-17-0584.
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. .
利用实验室小鼠进行的研究已使人们对控制癌症起始、进展和治疗反应的分子遗传过程有了基本认识。尽管已经发表了数千篇关于人类癌症小鼠模型的科学文章,但由于许多作者在描述模型时未遵循现有注释标准,整理特定模型的信息和数据受到了阻碍。当研究人员没有考虑到遗传背景对肿瘤生物学的影响时,小鼠模型实验结果的解释也可能会受到混淆。小鼠肿瘤生物学(MTB)数据库是一个精心策划的、关于人类癌症小鼠模型的综合汇编。通过执行命名法和相关注释标准,MTB支持汇总来自不同来源的癌症模型数据,并评估小鼠品系的遗传背景如何影响特定肿瘤类型的生物学特性和模型效用。