• Title/Summary/Keyword: cDNA Microarray

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Statistical Analysis of a Loop Designed Microarray Experiment Data (되돌림설계를 이용한 마이크로어레이 실험 자료의 분석)

  • 이선호
    • The Korean Journal of Applied Statistics
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    • v.17 no.3
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    • pp.419-430
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    • 2004
  • Since cDNA microarray experiments can monitor expression levels for thousands of genes simultaneously, the experimental designs and their analyzing methods are very important for successful analysis of microarray data. The loop design is discussed for selecting differentially expressed genes among several treatments and the analysis of variance method is introduced to normalize microarray data and provide estimates of the interesting quantities. MA-ANOVA is used to illustrate this method on a recently collected loop designed microarray data at Cancer Metastasis Research Center, Yonsei University.

Bayesian Variable Selection in the Proportional Hazard Model with Application to DNA Microarray Data

  • Lee, Kyeon-Eun;Mallick, Bani K.
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.357-360
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    • 2005
  • In this paper we consider the well-known semiparametric proportional hazards (PH) models for survival analysis. These models are usually used with few covariates and many observations (subjects). But, for a typical setting of gene expression data from DNA microarray, we need to consider the case where the number of covariates p exceeds the number of samples n. For a given vector of response values which are times to event (death or censored times) and p gene expressions (covariates), we address the issue of how to reduce the dimension by selecting the significant genes. This approach enable us to estimate the survival curve when n < < p. In our approach, rather than fixing the number of selected genes, we will assign a prior distribution to this number. The approach creates additional flexibility by allowing the imposition of constraints, such as bounding the dimension via a prior, which in effect works as a penalty. To implement our methodology, we use a Markov Chain Monte Carlo (MCMC) method. We demonstrate the use of the methodology to diffuse large B-cell lymphoma (DLBCL) complementary DNA(cDNA) data.

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CAMVS(V1.0) : CGH Analyzer and Map Viewer using S-Plus(V1.0)

  • Kim, Sang-Cheol;Park, Chan-Hee;Seo, Min-Young;Jeong, Ha-Jin;Kim, In-Young;Chung, Hyun-Cheol;Rha, Sun-Young
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2004.11a
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    • pp.131-137
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    • 2004
  • DNA 단계에서의 유전자의 증폭과 소실은 종양의 발생과 진행에 중요한 역할을 한다. 유전자의 변화를 관찰하기 위해서 Comparative Genomic Hybridization(CGH) 기술이 많이 이용되어져 왔다. 최근에는 이러한 CGH 기술을 응용하여 cDNA microarray 를 이용한 고밀도 CGH(Microarray-CGH) 기술이 보고 되고 있다. Microarray-CGH 에서 유전자별 변화 정도를 유전자의 log-비의 값의 변화 정도와 염색체 위치 정보를 이용하여 DNA 단계에서의 유전자의 변화 정도를 확인 할 수 있다. 또한 동일한 유전자의 칩을 사용하여 RNA단계에서의 발현 양상과 직접 비교할 수 있는 장점이 있다. 현재 microarray 분석법은 많이 개발되고 실용화 되고 있으나 Microarray-CGH 분석을 위한 프로그램들은 아직 초보 단계며, 생물학자들이 사용하기 힘들고, 프로그램에 분석 자료를 적용하기 어려운 경향이 있다. 위와 같은 단점을 보완하기 위해서 개발된 CAMVS(V1.0) 프로그램은 S-plus(2000)을 기반으로 개발하였고, 복잡한 분석보다는 모든 결과들을 이미지화 할 수 있으며 파일로 결과를 쉽게 확인할 수 있도록 디자인하였다. CAMVS(V1.0)는 전체 염색체를 각 실험별로 비교 분석하는 부분, 특정 염색체를 특정 실험별로 비교 분석하는 부분과 실험간의 차이를 통계적으로 비교 분석하는 3 가지 카테고리로 구성되어 있다. 쉬운 알고리즘과 사용의 편리함, 분석결과의 다양한 그래픽, 새로운 알고리즘 추가의 용이성 등이 CAMVS(V1.0)가 가지고 있는 장점이며, Microarray-CGH를 분석하는데 아주 유용한 분석 도구이다.

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Acute Toxicity of Cadmium on Gene Expression Profiling of Fleshy Shrimp, Fenneropenaeus Chinensis Postlarvae Using a cDNA Microarray (Microarray 분석을 이용한 대하 (Fenneropenaeus chinensis) 유생의 카드뮴 단기 노출에 따른 유전자변화)

  • Kim, Su-Kyoung;Qiao, Guo;Yoon, Jong-Hwa;Jang, In-Kwon
    • Journal of Environmental Science International
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    • v.24 no.5
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    • pp.623-631
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    • 2015
  • Microarray technology provides a unique tool for the determination of gene expression at the level of messenger RNA (mRNA). This study, the mRNA expression profiles provide insight into the mechanism of action of cadmium in Fleshy shrimp (Fenneropenaeus chinensis). The ability of genomic technologies was contributed decisively to development of new molecular biomarkers and to the determination of new possible gene targets. Also, it can be approach for monitoring of trace metal using oligo-chip microarray-based in potential model marine user level organisms. 15K oligo-chip for F. chinensis that include mostly unique sets of genes from cDNA sequences was developed. A total of 13,971 spots (1,181 mRNAs up- regulated and 996 down regulated) were identified to be significantly expressed on microarray by hierarchical clustering of genes after exposure to cadmium for different conditions (Cd24-5000 and Cd48-1000). Most of the changes of mRNA expression were observed at the long time and low concentration exposure of Cd48-1000. But, gene ontology analysis (GO annotation) were no significant different between experiments groups. It was observed that mRNA expression of main genes involved in metabolism, cell component, molecular binding and catalytic function. It was suggested that cadmium inhibited metabolism and growth of F. chinensis.

Gene Expression Profiles Related with TCDD-Induced Hepatotoxicity

  • Ryu, Yeon-Mi;Kim, Ki-Nam;Kim, Yu-Ri;Sohn, Sung-Hwa;Seo, Sang-Hui;Lee, Seung-Ho;Kim, Hye-Won;Won, Nam-Hee;Kim, Meyoung-Kon
    • Molecular & Cellular Toxicology
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    • v.1 no.3
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    • pp.164-171
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    • 2005
  • Toxicological studies have an object of detecting adverse effects of a chemical on an organism based on observed toxicity marker (i.e., serum biochemical markers and chemical-specific gene expression) or phenotypic outcome. To date, most toxicogenomic studies concentrated on hepatic toxicity. cDNA microarray analysis enable discrimination of the responses in animals exposed to different classes of hepatotoxicants. In an effort to further characterize the mechanisms of 2, 3, 7, 8,-Tetrachlorodibenzo-p-dioxin (TCDD or dioxin)-mediated toxicity, comprehensive temporal-responsive microarray analyses were performed on hepatic tissue from Sprague-Dawley rats treated with TCDD. Hepatic gene expression profiles were monitored using custom DNA chip containing 490 cDNA clones related with toxicology. Gene expression analysis identified 26 features which exhibited a significant change. In this study, we observed that the genes related with oxidative stress in rats exposed to Dioxin, such as CYPIIA3 and glutathione S-transferase, were up-regulated at 24hr after exposure. In this study, we carried out to discover novel evidence for previously unknown gene expression patterns related to mechanism of hepatic toxicity in rats exposed to dioxin, and to elucidate the effects of dioxin on the gene expression after exposure to dioxin.

Screening of Specific Genes Expressed in the Swine Tissues and Development of a Functional cDNA Chip

  • Kim, Chul Wook;Chang, Kyu Tae;Hong, Yeon Hee;Kwon, Eun Jung;Jung, Won Yong;Cho, Kwang Keun;Chung, Ki Hwa;Kim, Byeong Woo;Lee, Jung Gyu;Yeo, Jung-Sou;Kang, Yang Su;Joo, Young Kuk
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.7
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    • pp.933-941
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    • 2005
  • To develop a functional cDNA chip, specific genes expressed in the tissues of swine Kagoshima Berkshire were screened. A total of 4,434 ESTs were obtained by constructing a cDNA library from total RNA isolated from the muscle and fat tissues, affirming their functions by investigating similarity of nucleotide sequences with the database at the NCBI. Among them, 1,230 ESTs were confirmed as novel genes, which, to date, have not been identified. Attaching the genes to a cDNA microarray slide revealed expression patterns of genes in muscle and fat according to the growth stages of swine. As specific genes expressed in the muscle tissues of swine with body weight of 30 kg, 60 genes including actin, myosin, tropomysin, transfer RNA-trp synthetase, Kel-like protein 23, KIAA0182 and COI, Foocen-m, etc were obtained. In addition, 18 novel genes were obtained. As specific genes expressed in fat tissues of swine with body weight of 30 kg, 47 genes including annexin II, Collagen, Fibronectin, Pleckstrin homology domain, serine protease, etc were obtained. 21 novel genes were also obtained. The genes specifically expressed in the muscle and fat tissues of swine affect contraction and relaxation of the muscle and the fat. However, studies on the expression mechanisms of the genes are insufficient. To reveal species of structural genes in swine muscle and fat tissue, interrelation studies in expression and function of genes by using the cDNA chip should be conducted.

Analysis of Gene Expression in Helicobacter pylori-associated Nodular Gastritis in Children Using Microarray (소아의 Helicobacter pylori 감염에 의한 결절성 위염의 유전자 발현 양상 분석)

  • Yang, Hye-Ran;Ko, Jae-Sung;Seo, Jeong-Kee
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.13 no.1
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    • pp.7-22
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    • 2010
  • Purpose: Nodular gastritis is a characteristic finding of Helicobacter pylori infection in children. The aim of this study was to evaluate the difference in gene expression in the gastric mucosa of H. pylori-infected and non-infected children, and to analyze the difference in gene expression using cDNA microarray analysis of nodular gastritis caused by H. pylori infection. Methods: Twelve children (6 boys and 6 girls; mean age 9.8 years) who underwent upper gastrointestinal endoscopy and biopsy at Seoul National University Bundang Hospital were included in the study. The subjects were divided into three groups according to the presence of H. pylori infection and nodular gastritis on endoscopic examination. Gastric mucosa tissue was kept at $-70^{\circ}C$ and RNA was extracted to perform cDNA microarray analysis in each patient. Results: cDNA microarray analysis in children revealed a clear distinction between H. pylori-infected and non-infected gastric mucosa. Specifically, 182 over-expressed genes and 29 under-expressed genes were identified in H. pylori-infected gastric mucosa compared to non-infected mucosa. H. pylori-infected nodular gastritis revealed different gene expression patterns from H. pylori-infected normal gastric mucosa; five genes were over-expressed and five genes were under-expressed. Conclusion: In the presence of H. pylori infection, gastric mucosa shows distinct differences in gene expression, and nodular gastritis with H. pylori infection in children may be associated with over- or under-expression of some genes. Further studies are required to clarify the host response and the pathogenesis of nodular gastritis in children.