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Identification of potential synthetic lethal genes to p53 using a computational biology approach

机译:使用计算生物学方法鉴定p53的潜在合成致死基因

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Background Identification of genes that are synthetic lethal to p53 is an important strategy for anticancer therapy as p53 mutations have been reported to occur in more than half of all human cancer cases. Although genome-wide RNAi screening is an effective approach to finding synthetic lethal genes, it is costly and labor-intensive. Methods To illustrate this approach, we identified potentially druggable genes synthetically lethal for p53 using three microarray datasets for gene expression profiles of the NCI-60 cancer cell lines, one next-generation sequencing (RNA-Seq) dataset from the Cancer Genome Atlas (TCGA) project, and one gene expression data from the Cancer Cell Line Encyclopedia (CCLE) project. We selected the genes which encoded kinases and had significantly higher expression in the tumors with functional p53 mutations (somatic mutations) than in the tumors without functional p53 mutations as the candidates of druggable synthetic lethal genes for p53. We identified important regulatory networks and functional categories pertinent to these genes, and performed an extensive survey of literature to find experimental evidence that support the synthetic lethality relationships between the genes identified and p53. We also examined the drug sensitivity difference between NCI-60 cell lines with functional p53 mutations and NCI-60 cell lines without functional p53 mutations for the compounds that target the kinases encoded by the genes identified. Results Our results indicated that some of the candidate genes we identified had been experimentally verified to be synthetic lethal for p53 and promising targets for anticancer therapy while some other genes were putative targets for development of cancer therapeutic agents. Conclusions Our study indicated that pre-screening of potential synthetic lethal genes using gene expression profiles is a promising approach for improving the efficiency of synthetic lethal RNAi screening.
机译:背景技术鉴定对p53致命的合成基因是抗癌治疗的重要策略,因为据报道p53突变发生在所有人类癌症病例的一半以上。尽管全基因组RNAi筛选是寻找合成致死基因的有效方法,但它既昂贵又费力。方法为了说明这种方法,我们使用了三个用于NCI-60癌细胞系基因表达谱的微阵列数据集和一个来自癌症基因组图谱(TCGA)的下一代测序(RNA-Seq)数据集,鉴定了可能对p53致死的可药用基因。 )项目,以及一项来自癌细胞系百科全书(CCLE)项目的基因表达数据。我们选择了在具有功能性p53突变(体细胞突变)的肿瘤中编码激酶并具有明显更高表达的基因,作为没有药物性p53致死性合成基因的候选基因。我们确定了与这些基因有关的重要调控网络和功能类别,并对文献进行了广泛的调查,以发现支持所鉴定基因与p53之间合成杀伤力关系的实验证据。我们还检查了具有功能性p53突变的NCI-60细胞系和不具有功能性p53突变的NCI-60细胞系之间针对靶向已鉴定基因编码的激酶的化合物之间的药物敏感性差异。结果我们的结果表明,我们鉴定出的某些候选基因已通过实验验证,对p53具有合成致死性,是抗癌治疗的有希望的靶标,而其他一些基因则是开发癌症治疗剂的假定靶标。结论我们的研究表明,使用基因表达谱对潜在的合成致死基因进行预筛选是提高合成致死RNAi筛选效率的有前途的方法。

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