肺癌中SOX4基因的调控网络分析验证和蛋白质预测

SOX4 Gene Regulatory Network Analysis Validation and Protein Prediction

目的:分析SOX4基因的调控网络和蛋白产物特征,并进行验证。方法:利用生物信息学方法预测人SOX4基因的调控网络及其蛋白产物与其他蛋白的相互作用;在肺癌细胞系和肺癌临床样本中通过实时荧光定量PCR对mi RNA-30s进行定量分析。结果:人类SOX4蛋白可能与TP53、DICER1和SDCBP2等3种蛋白相互作用;SOX4基因可能受多种lnc RNA和mi RNA的调控;hsa-mi R30s在临床样本中表达模式不完全相同。与癌旁组织相比,hsami R30c-5p和hsa-mi R30d-5p在癌组织中显示低表达,hsa-mi R30d-5p则相反;与正常人胚肺成纤维细胞KMB17相比,肺癌细胞系A549和H1299中3个mi RNA-30成员的表达模式均为高表达。结论:SOX4基因及其蛋白产物的生物信息学分析为相关研究提供了重要信息基础,但尚须相关实验验证,以确定相关性。

Objective： To analyze and verify the regulatory network and protein product characteristics of the SOX4 gene. Methods： Bioinformatics was used to predict the regulatory network of human SOX4 gene and the interaction between protein products and other proteins. Quantification of miRNA-30s was analyzed by real-time fluorescence quantitative PCR in lung cancer cell lines and lung cancer clinical samples. Results： The SOX4 protein （HOMO） may interact with TP53, DICER1 and SDCBP2 proteins; SOX4 gene may be regulated by various lncRNAs and miRNAs. The expression pattern of hsa-miR30s in clinical samples is not completely the same. Compared with adjacent tissues, hsa-miR30c-5p and hsa-miR30d-5p showed low expression in cancer tissues but hsamiR30d-5p showed opposite results. Compared with normal human embryonic lung fibroblasts KMB17, in the lung cancer cell lines A549 and H1299, the expression pattern of the three miRNA-30 members was highly expressed. Conclusion： The bioinformatics analysis of the SOX4 gene and its protein product provides an important informa-tion base for related research, but it also needs validation of relevant experiments to determine the real relevance.