在p19 (ARF) 和p53缺乏的小鼠中,大规模的突变发生识别了癌症基因及其协作网络
Anthony G Uren1, Jaap Kool, Konstantin Matentzoglu
1Division of Molecular Genetics and Cancer Genomics Centre, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
Cell
|May 20, 2008
概括
这项研究通过选与p53或p19ARF瘤抑制剂合作的突变来确定300多个与癌症相关的基因. 这些发现揭示了跨物种复杂的遗传相互作用和潜在的瘤基因/瘤抑制剂.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 分子生物学分子生物学
背景情况:
- p53和p19ARF是关键的瘤抑制剂,在人类癌症中经常发生变化.
- 了解协作遗传事件对于癌症研究至关重要.
研究的目的:
- 通过高通量屏幕识别参与瘤发生的基因和遗传相互作用.
- 通过分析与p53或p19ARF缺陷合作的突变来发现新的癌症基因和途径.
主要方法:
- 在小鼠中进行了高通量逆转录病毒插入屏幕,以识别协作突变.
- 对10,806个逆转录病毒插入部位的分析表明,300多个基因位点与瘤发生有关.
- 进行了与人类癌症细胞系数据进行的跨物种比较分析.
主要成果:
- 在p53-或p19ARF缺乏或野生型小鼠中发现了20个特异突变的基因,包括Flt3,mmu-mir-106a-363,Smg6和Ccnd3.3.
- 揭示了癌症基因之间协作和相互排斥的相互作用网络.
- 发现了候选瘤抑制基因,并在Flt3和Notch1中确定了不同的插入集群,从而导致了多种不同的遗传相互作用.
- 跨物种分析确定了已知和候选的人类瘤基因 (Mmp13,Slamf6,Rreb1) 和瘤抑制剂 (Wwox,Arfrp2).
结论:
- 已识别的数据集为研究瘤发生中的遗传相互作用提供了丰富的资源.
- 这项研究强调了基因突变在癌症发展中的复杂相互作用.
- 研究结果为癌症治疗的潜在治疗点和生物标志物提供了洞察力.
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