癌症的小鼠模型作为复杂基因组数据的生物过滤器。
Mouse models of cancer as biological filters for complex genomic data.
机构信息
Cancer Biology and Genetics Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
出版信息
Dis Model Mech. 2010 Nov-Dec;3(11-12):701-4. doi: 10.1242/dmm.006296. Epub 2010 Sep 27.
Abstract
Genetically and pathologically accurate mouse models of leukemia and lymphoma have been developed in recent years. Adoptive transfer of genetically modified hematopoietic progenitor cells enables rapid and highly controlled gain- and loss-of-function studies for these types of cancer. In this Commentary, we discuss how these highly versatile experimental approaches can be used as biological filters to pinpoint transformation-relevant activities from complex cancer genome data. We anticipate that the functional identification of genetic 'drivers' using mouse models of leukemia and lymphoma will facilitate the development of molecular diagnostics and mechanism-based therapies for patients that suffer from these diseases.
摘要
近年来，已成功建立了遗传和病理上准确的白血病和淋巴瘤小鼠模型。通过遗传修饰的造血祖细胞的过继转移，可快速且高度可控地进行这些癌症的基因获得和缺失功能研究。在本述评中，我们讨论了如何将这些多功能的实验方法用作生物筛选器，以从复杂的癌症基因组数据中确定与转化相关的活动。我们预计，使用白血病和淋巴瘤的小鼠模型对遗传“驱动基因”进行功能鉴定，将有助于为患有这些疾病的患者开发分子诊断和基于机制的疗法。
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