• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• Journal of the Korean Data and Information Science Society
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• 제26권6호
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• pp.1249-1258
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• 2015

젖소의 유생산 형질에 가장 큰 영향을 미치는 유전자들 중 하나로 알려진 DGAT1 유전자의 효과를 국내 젖소 종축의 고밀도 유전체 정보를 이용하여 검증하기 위하여 본 연구를 수행하였다. 국내 젖소 씨수소로 구성된 353두의 고밀도 유전체 정보, 혈통, 추정 육종가 및 신뢰도 정보를 수집하였으며, 단일염기다형성 효과를 추정하기 위한 종속변량으로 가장 정확한 유전체 육종가를 예측할 수 있는 DeRegressed EBV를 산출하여 분석에 이용하였다. BovineSNP50 v2 패널을 이용하여 구명한 고밀도 유전자형 정보 중 유효성검증 과정을 통하여 41,051개 SNP을 선정하였으며, 각 단일 염기다형성의 실제적 유전체 육종가 기여도를 확인하기 위하여 유전체 선발방법 중 하나인 베이즈B (pi=0.99) 방법을 이용하여 SNP 효과를 추정하였다. 1메가 베이스페어의 구간으로 구성된 유전체 전장의 2,516개 윈도우 별 유전분산 설명력을 계산한 결과 상위 1, 3 윈도우가 DGAT1유전자 주변에서 발견되었으며, 이 두 윈도우의 유전분산 설명력은 각각 0.51% 및 0.48%인 것으로 나타났다. DGAT1유전자는 유전체 선발에 상업적으로 이용되는 50k SNP chip에 포함되어있지 않기 때문에 직접적인 유전자의 효과가 명확하게 드러나지는 않지만 DGAT1 유전자에 인접한 단일염기다형성들간의 연관불평형에 의하여 주변 윈도우에서 가장 높은 유전분산 설명력을 보이는 것으로 사료된다.

• Journal of Chest Surgery
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• 제50권3호
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• pp.153-162
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• 2017

Background: The mesenchymal-epithelial transition factor (MET) receptor can be overexpressed in solid tumors, including small cell lung cancer (SCLC). However, the molecular mechanism regulating MET stability and turnover in SCLC remains undefined. One potential mechanism of MET regulation involves the C-terminus of Hsp70-interacting protein (CHIP), which targets heat shock protein 90-interacting proteins for ubiquitination and proteasomal degradation. In the present study, we investigated the functional effects of CHIP expression on MET regulation and the control of SCLC cell apoptosis and invasion. Methods: To evaluate the expression of CHIP and c-Met, which is a protein that in humans is encoded by the MET gene (the MET proto-oncogene), we examined the expression pattern of c-Met and CHIP in SCLC cell lines by western blotting. To investigate whether CHIP overexpression reduced cell proliferation and invasive activity in SCLC cell lines, we transfected cells with CHIP and performed a cell viability assay and cellular apoptosis assays. Results: We found an inverse relationship between the expression of CHIP and MET in SCLC cell lines (n=5). CHIP destabilized the endogenous MET receptor in SCLC cell lines, indicating an essential role for CHIP in the regulation of MET degradation. In addition, CHIP inhibited MET-dependent pathways, and invasion, cell growth, and apoptosis were reduced by CHIP overexpression in SCLC cell lines. Conclusion: C HIP is capable of regulating SCLC cell apoptosis and invasion by inhibiting MET-mediated cytoskeletal and cell survival pathways in NCI-H69 cells. CHIP suppresses MET-dependent signaling, and regulates MET-mediated SCLC motility.

• 대한한방부인과학회지
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• 제20권4호
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• pp.41-55
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• 2007

Purpose: This study is to examine anti-obesity effect and cytotoxicity of the long-term oral administration of Sinomenium acutum (Bang-gi, SA) Methods: Using diet-induced obesity C57BL/6 mouse model, anti-obesity effect and DNA chip expression and cytotoxicity of the long-term oral administration of this herbal extract were investigated. Results: The herbal extract treated groups were arrested in weight increment only when they were lodged together. Such effects were abolished when they kept individually. SA fed mice behaved very rudely and violently. On the basis of histological studies of liver tissues and also in vitro cytotoxicity tests of the liver and kidney cell lines, no significant toxicity was found by 14 weeks of SA treatments. However, we found significant changes in gene expression profile in SA treated group by micro-array analysis. In case of SA group, up-regulated genes were 1,213 and down-regulated ones were 2,558. Some of lipid metabolism related genes also significantly changed in both treatment groups. Conclusion: SA had effects of increasing the basal metabolic rate by stimulating the sympathetic nervous systems.

• 대한약침학회지
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• 제10권1호통권22호
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• pp.121-135
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• 2007

Objectives : This study was carried out to examine protective effect of wild ginseng extract on HepG2 human hepatoma cell line against tert-Butyl hydroperoxide (t-BHP)-induced oxidative damage. Methods : To evaluate protective effect of wild ginseng extract against t-BHP induced cytotoxicity, LDH level and activity of glutathione peroxidase and reductase were measured. Gene expression was also measured using DNA microarray. Results : Wild ginseng extract showed a significant protective effect against t-BHP-induced cytotoxicity in HepG2 cell line. It is not, however, related with the activities of glutathione peroxidase and glutathione reductase. Analysis of gene expression using DNA chip, demonstrated that 28 genes were up-regulated in t-BHP only group. Five genes - selenoprotein P, glutathione peroxidase 3, sirtuin 2, peroxiredoxin 2, serfiredoxin 1 homolog - may be related with the protective effect of wild ginseng extract. Conclusions : Based on the results, a protective effect of wild ginseng extract against t-BHP-induced oxidative damage in HepG2 cell line is not associated with the activities of glutathione peroxidase and glutathione reductase, but with the expression of selenoprotein P, glutathione peroxidase 3, sirtuin 2, peroxiredoxin 2, and serfiredoxin 1 homolog.

• 대한한방부인과학회지
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• 제20권3호
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• pp.65-80
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• 2007

Purpose: This study is to examine anti-obesity effect and cytotoxicity of the long-term oral administration of Ephedra Sinica(Ma-hwang, ES) Methods: Using diet-induced obesity C57BL/6 mouse model, anti-obesity effect and DNA chip expression and cytotoxicity of the long-term oral administration of this herbal extract were investigated. Results: The herbal extract treated groups were arrested in weight increment only when they were lodged together. Such effects were abolished when they kept individually. ES fed mice behaved very rudely and violently. On the basis of histological studies of liver tissues and also in vitro cytotoxicity tests of the liver and kidney cell lines, no significant toxicity was found by 14 weeks of ES treatments. However, we found significant changes in gene expression profile in ES treated group by micro-array analysis. In case of ES group, up-regulated genes were 113 and down-regulated were 120. Some of lipid metabolism related genes also significantly changed in treatment groups. Conclusion: ES had effects of increasing the basal metabolic rate by stimulating the sympathetic nervous systems.

• 한국전기전자재료학회논문지
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• 제19권10호
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• pp.960-965
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• 2006

This research aims to develop the multiple channel electrochemical DNA chip using microfabrication technology. At first, we fabricated a high integration type DNA chip array by lithography technology. Several probe DNAs consisting of thiol group at their 5-end were immobilized on the gold electrodes. Then target DNAs were hybridized and reacted. Cyclic voltammetry showed a difference between target DNA and control DNA in the anodic peak current values. Therefore, it is able to detect a plural genes electrochemically after immobilization of a plural probe DNA and hybridization of non-labeling target DNA on the electrodes simultaneously. It suggested that this DNA chip could recognize the sequence specific genes.

• 한국전기전자재료학회논문지
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• 제17권7호
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• pp.729-737
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• 2004

In this paper, a DNA chip with a microelectrode array was fabricated using microfabrication technology. Several probe DNAs consisting of mercaptohexyl moiety at their 5 end were immobilized on the gold electrodes by DNA arrayer. Then target DNAs were hybridized and reacted with Hoechst 33258, which is a DNA minor groove binder and electrochemically active dye. Linear sweep voltammetry or cyclic voltammetry showed a difference between target DNA and control DNA in the anodic peak current values. It was derived from Hoechst 33258 concentrated at the electrode surface through association with formed hybrid. It suggested that this DNA chip could recognize the sequence specific genes.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 C
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• pp.1319-1321
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• 2006

This research aims to develop the multiple channel electrochemical DNA chip that has the above characteristic and be able to solve the problems. At first, we fabricated a high integration type DNA chip array by lithography technology. It is able to detect a plural genes electrochemically after immobilization of a plural probe DNA and hybridization of non-labeling target DNA on the electrodes simultaneously. It suggested that this DNA chip could recognize the sequence specific genes. It suggested that multichannel electrochemical DNA microarray is useful to develop a portable device for clinical gene diagnostic system.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (B)
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• pp.757-759
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• 2004

유전자 발현은 유전자가 mRNA와 생체의 기능을 일으키게 하는 단백질을 만들어내는 과정이다. 유전자 발현에 대한 정보는 유전자의 기능을 밝히고 유전자간의 상관 관계를 알아내는데 중요한 역할을 한다. 이러한 유전자 발현 연구를 위한 정보를 대량으로 신속하게 얻을 수 있는 도구가 DNA Chip이다. DNA Chip으로 얻은 수백-수천 개의 데이터는 그 데이터만으로는 의미를 갖지 못한다. 따라서 유전자 발현 정도에 따라 수치적으로 획득된 데이터에서 의미적인 특성을 찾아내기 위해서는 클러스터링 방법이 필요하다. 본 논문에서는 수많은 유전자 데이터 중에서 주요 정보를 포함한 것으로 판단되는 유전자 데이터를 선택하여 특징간을 계산하고 신경망 학습을 이용한 클러스터링하는 알고리즘에 대해서 기술한다.