• Title/Summary/Keyword: Research center

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A Study on the Track & Trace System for e-Logistics

  • Lee, Hae-Won;Lee, Yong-Joon;Kim, Hye-Kyu;Park, Jae-Eon;Ha, Soo-Cheol;Seong, Hae-Kyung
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.458-461
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    • 2002

  • The consumer in the 21$\^$st/ century e-business era is developing a taste fur greater professionalism diversity, internationalism and large-scale integration of his or her demands. With these changes in the consumers preferences in mind, e-businesses need to develop a real time track and trace system to accommodate their logistical and consumer service operations. This research paper discusses the development of a object-oriented logistics tracking database system and a web service tracking component necessary to efficiently store and manage the movements of postal goods and provide real time information on logistics trading.

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Novel target genes of hepatocellular carcinoma identified by chip-based functional genomic approaches

  • Kim Dong-Min;Min Sang-Hyun;Lee Dong-Chul;Park Mee-Hee;Lim Soo-Jin;Kim Mi-Na;Han Sang-Mi;Jang Ye-Jin;Yang Suk-Jin;Jung Hai-Yong;Byun Sang-Soon;Lee Jeong-Ju;Oh Jung-Hwa
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2006.02a
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    • pp.83-89
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    • 2006

  • 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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