한국생물정보학회:학술대회논문집 (Proceedings of the Korean Society for Bioinformatics Conference)
- 한국생물정보시스템생물학회 2006년도 Principles and Practice of Microarray for Biomedical Researchers
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- Pages.83-89
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- 2006
Novel target genes of hepatocellular carcinoma identified by chip-based functional genomic approaches
- Kim Dong-Min (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Min Sang-Hyun (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Lee Dong-Chul (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Park Mee-Hee (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Lim Soo-Jin (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Kim Mi-Na (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Han Sang-Mi (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Jang Ye-Jin (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Yang Suk-Jin (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Jung Hai-Yong (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Byun Sang-Soon (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Lee Jeong-Ju (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology) ;
- Oh Jung-Hwa (Functional Genomics Research Center, Korea Research Institute of Bioscience & Biotechnology)
- 발행 : 2006.02.01
초록
Cellular functions are carried out by a concerted action of biochemical pathways whose components have genetic interactions. Abnormalities in the activity of the genes that constitute or modulate these pathways frequently have oncogenic implications. Therefore, identifying the upstream regulatory genes for major biochemical pathways and defining their roles in carcinogenesis can have important consequences in establishing an effective target-oriented antitumor strategy We have analyzed the gene expression profiles of human liver cancer samples using cDNA microarray chips enriched in liver and/or stomach-expressed cDNA elements, and identified groups of genes that can tell tumors from non-tumors or normal liver, or classify tumors according to clinical parameters such as tumor grade, age, and inflammation grade. We also set up a high-throughput cell-based assay system (cell chip) that can monitor the activity of major biochemical pathways through a reporter assay. Then, we applied the cell chip platform for the analysis of the HCC-associated genes discovered from transcriptome profiling, and found a number of cancer marker genes having a potential of modulating the activity of cancer-related biochemical pathways such as E2F, TCF, p53, Stat, Smad, AP-1, c-Myc, HIF and NF-kB. Some of these marker genes were previously blown to modulate these pathways, while most of the others not. Upon a fast-track phenotype analysis, a subset of the genes showed increased colony forming abilities in soft agar and altered cell morphology or adherence characteristics in the presence of purified matrix proteins. We are currently analyzing these selected marker genes in more detail for their effects on various biological Processes and for Possible clinical roles in liver cancer development.
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