Study on the Abnormal Expression MicroRNA Network of Pancreatic Cancer

With the continuous progress of biotechnology and gene technology, scientists have found a large number of microRNA-related data through experiments. Among them, analyzing the characteristics, structure and function of microRNA by various methods is one of the most important applications in bioinformatics. To survey the mechanisms involving gene alteration and miRNAs in pancreatic cancer, we focused on transcriptional factors as a point of penetration to build an abnormal expression regulatory network. In this network, we found that some pathways with differentially expressed elements (genetic and miRNA) showed some self-adaption relations, such as SMAD4. A total of 32 genes and 88 microRNAs with 199 directed edges were identified. The evidence have shown that the expression of microRNAs varies with the severity of pancreatic cancer deterioration.