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目的:探讨人低转移肺巨细胞癌细胞株95C和人高转移肺巨细胞癌细胞株95D中微小RNA(microRNA,miR-NA)的差异性表达,分析差异表达miRNA在肺癌细胞转移调控网络中的作用。方法:常规培养95C和95D,分别提取总RNA并进行质检;应用微阵列芯片检测miRNAs的表达,并对其表达谱进行差异性分析;从系统生物学角度,应用生物信息学的研究方法,分析肺癌转移可能相关的异常表达miRNA与相应靶基因。结果:两者miRNA表达存在显著差异,与95C细胞相比,在95D中上调>1.5倍的miRNA有36条,下调>1.5倍的miRNA有19条;12条差异表达miR-NA及1 046个预测靶基因构成了肺癌转移相关调控网络。结论:获得了人低转移肺巨细胞癌细胞株95C和人高转移肺巨细胞癌细胞株95D的差异miRNA表达谱,初步构建了一个由差异miRNA及其靶基因组成的复杂肺癌转移相关调控网络,分析发现部分miRNA为调控网络的关键节点。
OBJECTIVE: To investigate the differential expression of microRNA (miR-NA) in human low metastatic lung cancer cell line 95C and human high metastatic lung giant cell carcinoma cell line 95D, and to analyze the differential expression of miRNA in lung cancer metastasis control network Role. Methods: The total RNA was extracted from 95C and 95D, and the total RNA was extracted respectively for quality control. The expression of miRNAs was detected by microarray and the differential expression of miRNAs was analyzed. Using bioinformatics methods, Analysis of abnormally expressed miRNAs and corresponding target genes that may be associated with lung cancer metastasis. Results: There were significant differences in miRNA expression between the two groups. Compared with 95C cells, there were 36 miRNAs with> 1.5-fold up-regulation in 95D and 19 miRNAs with> 1.5-fold down regulation. Twelve differentially expressed miR-NA and 1 046 The predicted target genes constitute a regulatory network of lung cancer metastasis. Conclusion: The differential miRNA expression profile of human low metastatic lung cancer cell line 95C and human high metastatic lung giant cell carcinoma cell line 95D was obtained, and a complex regulatory network of metastasis of lung cancer consisting of different miRNAs and their target genes Analysis found that some miRNAs are the key nodes in the regulation network.