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Comparison of Gene Expression Profile in Eutopic Endometria with or without Endometriosis: A Microarray Study  

Chung, Min-Ji (Department of Obstetrics and Gynecology, Department of Immunology, Kyungpook National University, School of Medicine)
Chung, Eun-Jung (Department of Obstetrics and Gynecology, Kyungpook National University, School of Medicine)
Lee, Shin-Je (Department of Obstetrics and Gynecology, Kyungpook National University, School of Medicine)
Kim, Moon-Kyu (Department of Obstetrics and Gynecology, Kyungpook National University, School of Medicine)
Chun, Sang-Sik (Department of Obstetrics and Gynecology, Department of Immunology, Kyungpook National University, School of Medicine)
Lee, Taek-Hoo (Department of Obstetrics and Gynecology, Department of Immunology, Kyungpook National University, School of Medicine)
Publication Information
Clinical and Experimental Reproductive Medicine / v.34, no.1, 2007 , pp. 19-31 More about this Journal
Abstract
Objective: Pathogenesis of the endometriosis is very complex and the etiology is still unclear. Our hypothesis is that there may be some difference in gene expression patterns between eutopic endometriums with or without endometriosis. In this study, we analyzed the difference of gene expression profile with cDNA microarray. Methods: Endometrial tissues were gathered from patients with endometriosis or other benign gynecologic diseases. cDNA microarray technique was applied to screen the different gene expression profiles from early and late secretory phase endometria of those two groups. Each three mRNA samples isolated from early and late secretory phase of endometrial tissues of control were pooled and used as master controls and labeled with Cy3-dUTP. Then the differences of gene expression pattern were screened by comparing eutopic endometria with endometriosis, which were labeled with Cy5-dUTP. Fluorescent labeled probes were hybridized on a microarray of 4,800 human genes. Results: Twelve genes were consistently over-expressed in the endometrium of endometriosis such as ATP synthase H transporting F1 (ATP5B), eukaryotic translation elongation factor 1, isocitrate dehydrogenase 1 (NADP+), mitochondrial ribosomal protein L3, ATP synthase H+ transporting (ATP5C1) and TNF alpha factor. Eleven genes were consistently down-regulated in the endometriosis samples. Many extracellular matrix protein genes (decorin, lumican, EGF-containing fibulin-like extracellular matrix protein 1, fibulin 5, and matrix Gla protein) and protease/protease inhibitors (serine proteinase inhibitor, matrix metalloproteinase 2, tissue inhibitor of metalloproteinase 1), and insulin like growth factor II associated protein were included. Expression patterns of selected eight genes from the cDNA microarray were confirmed by quantitative RT-PCR or real time RT-PCR. Conclusion: The result of this analysis supports the hypothesis that the endometrium from patients with endometriosis has distinct gene expression profile from control endometrium without endometriosis.
Keywords
Endometriosis; Pathogenesis; DNA microarray; Gene expression profile;
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