Systems Biology Approach to Identify MicroRNA -mediated Growth-regulatory Networks in Hepatocellular Carcinoma (HCC)
碩士 === 長庚大學 === 生物醫學研究所 === 97 === Using transcriptome data to profile the global gene expression has been widely applied to identify genes whose expression pattern is associated with clinical pathological features of tumors which may be used for the diagnosis and prognostic predictions of hepatocel...
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2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/52697774390139446745 |
| Summary: | 碩士 === 長庚大學 === 生物醫學研究所 === 97 === Using transcriptome data to profile the global gene expression has been widely applied to identify genes whose expression pattern is associated with clinical pathological features of tumors which may be used for the diagnosis and prognostic predictions of hepatocellular carcinoma (HCC). Recently, researchers have focused on the expression profiling of microRNAs (miRNAs) to provide more comprehensive results. A significant challenge in the post-genomic era is how to use large-scale and multiple dimensions data to extract and understand the underlying biology of hepatocarcinogenesis. Previous studies indicate that 12-O-Tetradecanoylphorbol-13-acetate (TPA) induce G1 growth arrest in HepG2 cells. Deregulation of growth control mechanism may play a key role in the cancer development. We hypothesize that the genes and miRNAs whose expression altered by TPA treatment may be related to growth control of human hepatoma cells. We proposed that expression level of critical regulatory components in particular networks may be moderately modulated at both transcriptional and translational level during tumorgenesis. In this study, we used a systems biology approach to identify regulatory networks by integrating mRNAs and miRNAs expressions and provide a new dimension of target identification which may be ignored by conventional microarray analysis for mRNAs and miRNAs alone.
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