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通过使用基因工程小鼠模型探究p53的生物学功能。

Probing p53 biological functions through the use of genetically engineered mouse models.

作者信息

Attardi Laura D, Donehower Lawrence A

机构信息

Department of Radiation Oncology and Genetics, Stanford University School of Medicine, CCSR South, CA 94305-5152, USA.

出版信息

Mutat Res. 2005 Aug 25;576(1-2):4-21. doi: 10.1016/j.mrfmmm.2004.08.022.

Abstract

The p53 tumor suppressor gene is rendered dysfunctional in the majority of human cancers. To model the effects of p53 dysfunction in an experimentally manipulable organismal context, genetically engineered inbred mice have been the models of choice. Transgenic and knock-out technologies have been utilized to generate an array of different p53 germ line alterations. As expected, many (though not all) of the mutant p53 mouse models are susceptible to enhanced spontaneous and carcinogen-induced tumors of a variety of types. A number of different variables affect the incidence and spectrum of tumors in p53 mutant mice. These include strain background, the nature of the p53 mutation, the presence of wild-type p53 (in addition to mutant p53), exposure to physical and chemical mutagens, or introduction of other cancer-associated genes into the mutant p53 background. In addition to their role in furthering our understanding of the mechanisms of cancer initiation and progression, these models have led to unexpected insights into p53 function in embryogenesis and aging. With the development of ever more sophisticated methods for manipulating the mouse genome, new p53 models are on the horizon, which should deliver advances that will provide not only important mechanistic insights but also discoveries of great clinical relevance.

摘要

p53肿瘤抑制基因在大多数人类癌症中功能失调。为了在可实验操作的生物体环境中模拟p53功能失调的影响,基因工程近交系小鼠一直是首选模型。转基因和基因敲除技术已被用于产生一系列不同的p53种系改变。不出所料,许多(尽管不是全部)突变p53小鼠模型易患各种类型的自发性和致癌物诱导肿瘤增加。许多不同的变量影响p53突变小鼠肿瘤的发生率和谱。这些变量包括品系背景、p53突变的性质、野生型p53(除突变p53外)的存在、暴露于物理和化学诱变剂,或将其他癌症相关基因引入突变p53背景。除了在加深我们对癌症发生和进展机制的理解方面所起的作用外,这些模型还对p53在胚胎发育和衰老中的功能产生了意想不到的见解。随着操纵小鼠基因组的方法越来越复杂,新的p53模型即将出现,这将带来不仅能提供重要机制见解,还能带来具有重大临床意义的发现的进展。

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