• Journal of Life Science
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• v.18 no.12
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• pp.1657-1664
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• 2008

We determined the prevalence of human papillomavirus (HPV) by DNA chip test in 549 women and cytologic diagnosis. 237 of 549 women (43.17%) subjected with HPV DNA Chip examination were found positive for HPV. 210 (88.60%, High group) were infected with high-risk HPV types. 17 (7.17%, Low group) were infected with low-risk HPV types (6, 11, 40, 44, 70) and 17 (7.17%, Mixed group) were infected with mixed types. According to age, in their twenties, thirties, forties, fifties and over sixties, the prevalence of infection with high-risk HPV types were 1.26% (3/237), 15.61% (37/237), 31.65% (75/237), 23.21% (55/237), and 13.92% (33/237), respectively. In the Low and Mixed group, percentages of infection with HPV were significantly lower than that of the High group. On the comparison of cytologic diagnosis (224 women) by Pap smear and DNA chip positive (237 women) for HPV, 132 out of 194 cases in the High group (68.04%) suffered cervical lesions with ASCUS (atypical squamous cells of undetermined significance, 7.22%), LSIL (low grade squamous intraepithelial lesion, 15.98%), HSIL (high grade SIL, 23.20%) and ICC (invasive cervical cancer, 21.65%). The Low group (14/224 women) showed 1 case of ASCUS and 6 cases of LSIL, whereas the Mixed group (4/224 women) had only 2 cases of ASCUS. According to the HPV subtypes, the high-risk types 16 and 18 induced 26 and 7 cases of ICC, respectively, whereas other HPV subtypes induced lower or no ICC incidence. In conclusion, the present data imply that the prevalence of HPV was 43.17%, high-risk HPV type 16 is a major factor, which causes precancerous and/or cervical cancer in woman and that HPV DNA chip is an accurate and useful tool for detecting HPV.

• Clinical and Experimental Reproductive Medicine
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• v.34 no.1
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• pp.19-31
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• 2007

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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.12C
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• pp.1288-1298
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• 2002

To implement elliptic curve cryptosystem in GF(2$\^$m/) at high speed, a fast divider is required. Although bit-parallel architecture is well suited for high speed division operations, elliptic curve cryptosystem requires large m(at least 163) to support a sufficient security. In other words, since the bit-parallel architecture has an area complexity of 0(m$\^$m/), it is not suited for this application. In this paper, we propose a new serial-in serial-out systolic array for computing division operations in GF(2$\^$m/) using the standard basis representation. Based on a modified version of tile binary extended greatest common divisor algorithm, we obtain a new data dependence graph and design an efficient bit-serial systolic divider. The proposed divider has 0(m) time complexity and 0(m) area complexity. If input data come in continuously, the proposed divider can produce division results at a rate of one per m clock cycles, after an initial delay of 5m-2 cycles. Analysis shows that the proposed divider provides a significant reduction in both chip area and computational delay time compared to previously proposed systolic dividers with the same I/O format. Since the proposed divider can perform division operations at high speed with the reduced chip area, it is well suited for division circuit of elliptic curve cryptosystem. Furthermore, since the proposed architecture does not restrict the choice of irreducible polynomial, and has a unidirectional data flow and regularity, it provides a high flexibility and scalability with respect to the field size m.