Using MiRNA Expression Profiles To Construct MiRNA-gene Regulatory Network

Biological network is one of the research hotspots for systems biology and computational informatics in recent years.It is a comprehensive network model,which describes the function and relationship of biological molecules at the system level.Gene expression plays an important role in biological systems.Gene network is a complex biological network composed of a group of genes and the interaction between them.The same gene can form different network models by different types of interactions with different genes,such as,protein interaction networks,gene regulatory networks,genetic networks.The gene regulatory network is a directed biological network that describes regulatory factors and encoding genes.In biology,the study of gene regulation is a very important topic,and mi RNAs were found to be a new type of regulatory element in recent years.A lot of experimental evidences show that mi RNAs co-control the target gene through synergistic or antagonistic regulation and affect biological processes.Mi RNA has became a kind of important regulatory factors,which plays a key role in the development process of cancer.Different cancers tend to have some common characteristics,and analysis of mi RNAs which affect different cancer can discover the relationship between mi RNAs and cancer.Previous research always focuses on the analysis of single mi RNA.Using the expression profiles of mi RNAs and their target genes,this paper constructs mi RNA-gene regulatory network of Pan-Cancer,emphasizing the analysis of mi RNAs' cooperation.The main work is summarized as follows :1.This paper analyses mi RNA expression profiles of Pan-Cancer project in TCGA database,and screens out mi RNAs which strongly related to cancers using statistical methods.In order to construct the Pan Cancer-mi RNA network,we measure the correlation by Pearson correlation,and mining the regulatory relationship between mi RNAs and Pan-cancer.2.According to the degree of correlation between mi RNAs and,the number of cancers that mi RNA regulates,we rank the mi RNAs in Pearson correlation network.As a result,eight important mi RNA were found.By obtain these mi RNAs' target gene and analyse them with GO database,it is showed that target genes of mi R-130 b,mi R-96 and mi R-93 are enriching in lots of pathways and their enrichment is significant.These pathways are all directly or indirectly related to some biological processes,that is,they all affected the processes of tumor occurrence and development.3.Three relations are integrated to form mi RNA-gene regulatory network.They are interactions between mi RNA and mi RNA,mi RNA and genes,gene and gene.The network is divided into two layers.The upper layer is the link between gene and gene and the lower layer is for mi RNA and mi RNA.The two layers are linked by the relationship between mi RNAs and their target genes.Further analysis shows that the regulatory factors in the mi RNA-gene regulatory network are not only interacted with cancers in the Pan Cancer project,but also regulate other cancer processes.Therefore,the network can explain the biological processes associated with cancers and can be used to the prevention and treatment of pan cancer.The network model found in this paper integrates mi RNA,target genes,correlation and many other information.It is helpful for researchers to fully understand the important factors which can affect Pan Cancer,and the mechanism of factors regulating cancer processes collaboratively.The model can also reveal the mechanism and characteristics of mi RNAs which control the cancer-related biological processe,as well as the relationship between mi RNA and cancer.It could provide reference to drug development and biological target treatment of pan cancer.