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      • Regulatory Network of MicroRNAs, Target Genes, Transcription Factors and Host Genes in Endometrial Cancer

        Xue, Lu-Chen,Xu, Zhi-Wen,Wang, Kun-Hao,Wang, Ning,Zhang, Xiao-Xu,Wang, Shang Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2

        Genes and microRNAs (miRNAs) have important roles in human oncology. However, most of the biological factors are reported in disperse form which makes it hard to discover the pathology. In this study, genes and miRNAs involved in human endometrial cancer(EC) were collected and formed into regulatory networks following their interactive relations, including miRNAs targeting genes, transcription factors (TFs) regulating miRNAs and miRNAs included in their host genes. Networks are constructed hierarchically at three levels: differentially expressed, related and global. Among the three, the differentially expressed network is the most important and fundamental network that contains the key genes and miRNAs in EC. The target genes, TFs and miRNAs are differentially expressed in EC so that any mutation in them may impact on EC development. Some key pathways in networks were highlighted to analyze how they interactively influence other factors and carcinogenesis. Upstream and downstream pathways of the differentially expressed genes and miRNAs were compared and analyzed. The purpose of this study was to partially reveal the deep regulatory mechanisms in EC using a new method that combines comprehensive genes and miRNAs together with their relationships. It may contribute to cancer prevention and gene therapy of EC.

      • A comparative study of an energy-balanced routing in various wireless sensor network models

        Xiao Hui Li,Zhi Wen Shang,Seung Ho Hong,Bing Zhao,Xiaobing Liang 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10

        The battery-powered wireless sensor networks are limited by the energy capacity and communication ability. Designing a suitable routing algorithm to improve the energy efficiency and network lifetime is highly required. However, a lack of knowledge with regard to how to apply these routing algorithms is a barrier for users in taking advantage of this method. Here we compare and evaluate the performances of two routing algorithms: ADOVjr and EBR that we have developed for WSN in three network models constructed by complex network theory. Based on the simulation results on the network lifetime and energy consumption behaviors, we suggest appropriate application areas for these two algorithms. Our performance analysis will help the improvement of energy-balanced routing algorithms and guide their implementation on WSN.

      • Networks of MicroRNAs and Genes in Retinoblastomas

        Li, Jie,Xu, Zhi-Wen,Wang, Kun-Hao,Wang, Ning,Li, De-Qiang,Wang, Shang Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.11

        Through years of effort, researchers have made notable progress in gene and microRNA fields about retinoblastoma morbidity. However, experimentally validated data for genes, microRNAs (miRNAs) and transcription factors (TFs) can only be found in a scattered form, which makes it difficult to conclude the relationship between genes and retinoblastoma systematically. In this study, we regarded genes, miRNAs and TFs as elements in the regulatory network and focused on the relationship between pairs of examples. In this way, we paid attention to all the elements macroscopically, instead of only researching one or several. To show regulatory relationships over genes, miRNAs and TFs clearly, we constructed 3 regulatory networks hierarchically, including a differentially expressed network, a related network and a global network, for analysis of similarities and comparison of differences. After construction of the three networks, important pathways were highlighted. We constructed an upstream and downstream element table of differentially expressed genes and miRNAs, in which we found self-adaption relations and circle-regulation. Our study systematically assessed factors in the pathogenesis of retinoblastoma and provided theoretical foundations for gene therapy researchers. In future studies, especial attention should be paid to the highlighted genes and miRNAs.

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