• Title/Summary/Keyword: Gene chip

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Learning Graphical Models for DNA Chip Data Mining

  • Zhang, Byoung-Tak
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2000.11a
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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.

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Validation of diacylglycerol O-acyltransferase1 gene effect on milk yield using Bayesian regression (베이지안 회귀를 이용한 국내 홀스타인 젖소의 유량형질 관련 DGAT1유전자 효과 검증)

  • Cho, Kwang-Hyun;Cho, Chung-Il;Park, Kyong-Do;Lee, Joon-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1249-1258
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    • 2015
  • DGAT1(diacylglycerol O-acyltransferase1) gene is well known as a major gene of milk production in dairy cattle. This study was conducted to investigate how the DGAT1 gene effect on milk yield was appeared from the genome wide association (GWA) using high density whole genome SNP chip. The data set used in this study consisted of 353 Korean Holstein sires with 50k SNP genotypes and deregressed estimated breeding values of milk yield. After quality control 41,051 SNPs were selected and locations on chromosome were mapped using UMD 3.1. Bayesian regression of BayesB method (pi=0.99) was used to estimate the SNP effects and genomic breeding values. Percentages of variance explained by 1 Mb non-overlapping windows were calculated to detect the QTL region. As the result of this study, top 1 and 3 of 2,516 windows were seen around DGAT1 gene region and 0.51% and 0.48% of genetic variance were explained by these two windows. Although SNPs on the DGAT1 gene region are excluded in commercial 50k SNP chip, the effect of DGAT1 gene seem to be reflected on GWA by the SNPs which are in linkage disequilibrium with DGAT1 gene.

The Antitumor Effect of C-terminus of Hsp70-Interacting Protein via Degradation of c-Met in Small Cell Lung Cancer

  • Cho, Sung Ho;Kim, Jong In;Kim, Hyun Su;Park, Sung Dal;Jang, Kang Won
    • Journal of Chest Surgery
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    • v.50 no.3
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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.

Effects of Sinomenium acutum Extract on Body Weight Gains and the DNA Chip Expression of Obese Rats. (방기(防己)의 투여가 비만 유발 쥐의 생리기능과 DNA Chip을 통한 유전자 발현에 미치는 영향에 대한 연구)

  • Joh, Ho-Geun;Kim, Dong-Il
    • The Journal of Korean Obstetrics and Gynecology
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    • v.20 no.4
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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.

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HepG2 세포의 산화적 손상에 대한 산삼 추출물의 보호효과 - DNA chip을 이용하여 -

  • Kim, Hyung-Seok;Park, Hee-Soo;Kwon, Ki-Rok
    • Journal of Pharmacopuncture
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    • v.10 no.1 s.22
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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.

Effects of the oral administration of Epedra Sinica Extract on suppression of body weight gains and the DNA chip expression of obese rats. (마황(麻黃)의 투여가 비만 유발 쥐의 생리기능과 DNA Chip을 통한 유전자 발현에 미치는 영향에 대한 연구)

  • Joh, Ho-Geun;Yang, Jeong-Min;Kim, Dong-Il
    • The Journal of Korean Obstetrics and Gynecology
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    • v.20 no.3
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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.

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A Study on Gene Detection using Non-labeling DNA

  • Choi Yong-Sung;Lee Kyung-Sup;Kwon Young-Soo
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.19 no.10
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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.

Eletrochemical Detection of Gene using Microelectrode-array DNA Chip (미소전극어레이형 DNA칩을 이용한 유전자의 전기화학적 검출)

  • ;;Eiichi Tamiya
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.17 no.7
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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.

SNP Detection Using DNA Chip (DNA칩을 이용한 SNP의 검출)

  • Choi, Yong-Sung;Moon, Jong-Dae;Lee, Kyung-Sup
    • Proceedings of the KIEE Conference
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    • 2006.07c
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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.

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Classification of Gene Expression Data Using Membership Function and Neural Network (소속도 함수와 신경망을 이용한 유전자 발현 정보의 분류)

  • 염해영;문영식
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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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.

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