Robinson Megan, Jiang Ping, Cui Jenny, Li Jun, Wang Yuli, Swaroop Manju, Madore Steve, Lawrence Theodore S, Sun Yi
Departments of Molecular Sciences and Technologies; Pfizer Global Research and Development; Ann Arbor Laboratories; Ann Arbor, Michigan USA.
Cancer Biol Ther. 2003 Jul-Aug;2(4):406-15. doi: 10.4161/cbt.2.4.437.
To identify critical genes that mediate p53-induced growth arrest and apoptosis at a global level, we profiled a human lung carcinoma cell model in which cells undergo growth arrest and apoptosis in a p53 and DNA damage-dependent manner. Profiling of the Affymetrix human HG-U1333 GeneChip, covering the entire human transcriptome, revealed about 3, 000 unique genes either induced or repressed during p53-induced growth arrest or apoptosis, respectively. A total of 1, 057 genes, including many well-known p53 targets, responded to both conditions. A mini apoptotic protein database was generated from 3, 033 unique apoptosis responsive genes. Analysis of this database yielded 23 proteins with a pro-apoptotic BH3 domain and three with anti-apoptotic BIR2/BIR3 domains, including well-known p53 targets: Bax, Puma, Noxa and survivin. In addition, 14 mitochondrial proteins were identified that contain a pro-apoptotic AVPI-like motif, and 15 proteins were identified that contain a DAVPI-like domain with the potential of being cleaved by caspases during apoptosis to release the AVPI motif. Many of the genes we identified with these domains do contain p53-binding sites either in the promoter or in the first three introns, suggesting a high probability of being direct p53 targets. Pathway analysis revealed that p53 might control the Wnt pathway through transcriptional regulation of some of its components. Thus, global chip profiling coupled with bioinformatics analysis is a powerful tool in identification of genes critical for p53-induced apoptosis. Further characterization of these genes will lead to a better understanding of the mechanism of p53 action and p53 regulation of other signaling pathways. It will also provide novel cancer drug targets for further validation.
为了在整体水平上鉴定介导p53诱导的生长停滞和凋亡的关键基因,我们构建了一个人肺癌细胞模型,在该模型中细胞以p53和DNA损伤依赖的方式经历生长停滞和凋亡。对覆盖整个人类转录组的Affymetrix人类HG-U1333基因芯片进行分析,结果显示,在p53诱导的生长停滞或凋亡过程中,分别有大约3000个独特基因被诱导或抑制。共有1057个基因,包括许多众所周知的p53靶基因,对这两种情况均有反应。从3033个独特的凋亡反应基因中生成了一个小型凋亡蛋白数据库。对该数据库的分析产生了23个具有促凋亡BH3结构域的蛋白和3个具有抗凋亡BIR2/BIR3结构域的蛋白,包括众所周知的p53靶基因:Bax、Puma、Noxa和survivin。此外,还鉴定出14个含有促凋亡AVPI样基序的线粒体蛋白,以及15个含有DAVPI样结构域的蛋白,这些蛋白在凋亡过程中有可能被半胱天冬酶切割以释放AVPI基序。我们鉴定出的许多带有这些结构域的基因在启动子或前三个内含子中确实含有p53结合位点,这表明它们很有可能是p53的直接靶基因。通路分析显示,p53可能通过对其一些组分的转录调控来控制Wnt通路。因此,整体芯片分析与生物信息学分析相结合是鉴定p53诱导凋亡关键基因的有力工具。对这些基因的进一步表征将有助于更好地理解p53的作用机制以及p53对其他信号通路的调控。这也将为进一步验证提供新的癌症药物靶点。