논문검색
Author Yong-Wan Kim, Ph.D.1, Min-Je Suh, M.S.1, Jin-Sik Bae, M.S.1, Su Mi Bae, M.S.1, Joo Hee Yoon, M.D.2, Soo Young Hur, M.D.2, Jae Hoon Kim, M.D.2, Duck Young Ro, M.D.2, Joon Mo Lee, M.D.2, Sung Eun Namkoong, M.D.2, Chong Kook Kim, Ph.D.3 and Woong Shick Ahn, M.D.2
Place of duty Catholic Research Institutes of Medical Science, 2Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul; 3College of Pharmacy, Seoul National University, Seoul, Korea
Title New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
Publicationinfo Cancer Research and Treatment 2003 Aug; 035(04): 304-313.
Key_word Cervix neoplasia, mRNA differential display, Gene ontology
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Abstract Purpose: This study utilized both mRNA differential display and the Gene Ontology (GO) analysis to characterize the multiple interactions of a number of genes with gene expression profiles involved in the HPV-16- induced cervical carcinogenesis. Materials and Methods: mRNA differential displays, with HPV-16 positive cervical cancer cell line (SiHa), and normal human keratinocyte cell line (HaCaT) as a control, were used. Each human gene has several biological functions in the Gene Ontology; therefore, several functions of each gene were chosen to establish a powerful cervical carcinogenesis pathway. The specific functions assigned to these genes were then correlated with the gene expression patterns. Results: The results showed that 157 genes were up- or down-regulated at least 2-fold and organized into reciprocally dependent sub-function sets, depending on their cervical cancer pathway, suggesting the potentially significant genes of unknown function affected by the HPV-16-derived pathway. The GO analysis suggested that the cervical cancer cells underwent repression of the cancer-specific cell adhesive properties. Also, genes belonging to DNA metabolism, such as DNA repair and replication, were strongly down-regulated, whereas significant increases were shown in the protein degradation and synthesis. Conclusion: The GO analysis can overcome the complexity of the gene expression profile of the HPV-16- associated pathway, identify several cancer-specific cellular processes and genes of unknown function. It could also become a major competing platform for the genome- wide characterization of carcinogenesis. (Cancer Research and Treatment 2003;35:304-313