| Abstract:Traditional molecular biology focuses on studying the function of a single gene. However, an organism is a complex system; in which genes interact with each other to construct a network, and the functions of the whole gene network is not simply the sum of each one. Therefore, in the post-genome era, one of the goals of functional genome is to infer the gene networks from experiment data and dig out the biology disciplines under them.Large-scale numbers of microRNA gene have detected in animal, plant, and virus, even algae. Some viruses even algae microRNA synergy is one of the widely accepted regulatory mechanisms, however, it is still relatively lack of study from the point of view of system.In our report, we elaborated the synergy microRNA from the point of view of system and discussed the relationship between microRNA and cancer through the various types of data. Through the integration of microRNA prediction of target gene data and microRNA its target gene expression data, we constructed microRNA synergistic effect of microRNA network, the network topology structure characteristics and the possible biological function are linked. By microRNA in normal tissues, cancer tissue and expression analysis of embryonic stem cells,we found with a high degree of microRNA, especially the Hub microRNA, may be play a key role in the development of the normal organization. Hub microRNA down regulation, especially hsa-miR-30may have a certain effect in cancer. Target analysis of gene expression also support the Hub microRNA cut their target genes, and these target genes significantly enriched cancer related genes. When considering the number of binding sites found Hub microRNA binding sites significantly less. This phenomenon has provided us with an opportunity to projection Hub microRNA may play a role:play a supplementary role in synergy.In addition, there are more and more evidence that the microRNA imbalance is possible with a variety of cancers related to the microRNA becomes a new candidate in the diagnosis and treatment of cancer bio-marker. To integrate the expression information of cancer-related microRNAs and improve the detection and classification of human cancers, we developed a publicly available database of differentially expressed microRNAs in human cancers (dbDEMC).This database integrated the expression data from48microRNA microarray data sets in peer-reviewed publications to provide the information of expression level change of microRNAs. dbDEMC mainly comes from on high throughput expression of Data Mining to provide more information and quantitative.All in all, dbDEMC provide a broader spectrum of microRNA expression of cancer cells. The establishment of database and microRNA regulatory network for cancer research offers new perspective to help identify cancer-related microRNA and analysis of their effect on cancer formation play an important role, which in turn will help enhance human cancer classification, diagnosis and treatment.Hepatocellular carcinoma (HCC) is one of the most aggressive human cancers with a high frequency of post-surgical recurrence. It is very critical to diagnose HCC recurrence at an early stage for a better therapeutic treatment. In this study, we examined the microRNA (microRNA) expression profiling in tumor tissues obtained from early and late recurrent HCC patients post-resection, using a microarray assay. A total of32miRNAsere identified to be differentially expressed during the progression of recurrence. Moreover, functional annotation of predicted target genes of these recurrent HCC-related microRNAs indicates that multiple biological pathways that are all critical for cancer development and progression, may participate in the recurrence of HCC. Our data suggest potential molecular mechanisms underpinning microRNA-controlled HCC recurrence, and support the notion that microRNA expression signature and microRNA-based therapy can be useful tools for a better diagnosis and treatment stratification of this disease. |
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