• Journal of Soil and Groundwater Environment
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• v.11 no.1
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• pp.1-6
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• 2006

The analysis of functional population and its dynamics on the environment is essential for understanding bioremediation in environment. Here, we report a method for oligonucleotide microarray for the monitoring of aliphatic and aromatic degradative genes. This microarray contained 15 unique and group-specific probes which were based on 100 known genes involved pathways in biodegradation. Hybridization specificity tests with pure cultures, strain Pseudomonas aeruginosa KCTC 1636 indicated that the designed probes on the arrays appeared to be specific to their corresponding target genes. It was found that the presence of 8 genes encoding alkane, naphthalene, biphenyl, pyrene (PAH ring-hydroxylating) degradation pathway could be detected in oil contaminated soil sample. Therefore, the findings of this study strongly suggest that oligonucleotide microarray is an effective diagnostic tool for evaluating biodegradation capability in oil contaminated subsurface environment.

• Genomics & Informatics
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• v.1 no.1
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• pp.20-24
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• 2003

The analysis of DNA microarry data is one of the most important things for functional genomics research. The matrix representation of microarray data and its successive 'optimal' incisional hyperplanes is a useful platform for developing optimization algorithms to determine the optimal partitioning of pairwise proximity matrix representing completely connected and weighted graph. We developed Deterministic Annealing (DA) approach to determine the successive optimal binary partitioning. DA algorithm demonstrated good performance with the ability to find the 'globally optimal' binary partitions. In addition, the objects that have not been clustered at small non­zero temperature, are considered to be very sensitive to even small randomness, and can be used to estimate the reliability of the clustering.

• 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.

• Molecules and Cells
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• v.25 no.4
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• pp.553-558
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• 2008

Essential aspects of the innate immune response to microbial infection appear to be conserved between insects and mammals. In order to identify new Drosophila melanogaster genes involved in the immune response, we performed gene expression profiling of Drosophila SL2 cells stimulated with bacterial (LPS/PGN) or fungal (curdlan) components using a cDNA microarray that contained 5,405 Drosophila cDNAs. We found that some genes were similarly regulated by LPS/PGN and curdlan. However, a large number, belonging to the functional classes of cell organization, development, signal transduction, morphogenesis, cell cycle, and DNA replication, displayed significant differences in their transcription profiles between the two treatments, demonstrating that bacterial and fungal components induce different immune response even in an in vitro cell system.

• Proceedings of the Korean Society of Toxicology Conference
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• 2002.11b
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• pp.204-204
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• 2002

Alcohol drinking during pregnancy can result in abnormal fetal development including fetal alcohol syndrome (FAS). The molecular mechanisms of FAS, however, is not completely elucidated. In the present study, we evaluated the developmental toxicity of ethanol and its metabolite, acetaldehyde using post implantation whole embryo culture and determined changes of gene expression by ethanol treatment by cDNA microarray.(omitted)

• 한국데이터정보과학회:학술대회논문집
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• 2005.10a
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• pp.204-204
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• 2005

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2004.05a
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• pp.77-77
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• 2004

• The Korea Genome Conference
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• 2005.09a
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• pp.54-54
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• 2005

• The Korea Genome Conference
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• 2003.09a
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• pp.49.1-49.1
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• 2003

• Journal of Yeungnam Medical Science
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• v.22 no.2
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• pp.221-240
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• 2005

Background: Doxorubicin has proved to be a useful chemotherapeutic agent especially for osteogenic sarcoma. It induces cancer cell death via apoptosis. Materials and Methods: To explore and analyze the changes of gene expression during doxorubicin induced apoptosis on human osteogenic sarcoma, Saos-2 cell, cDNA microarray was performed. After treatment with doxorubicin, total RNA was purified and expressed genes were investigated with a 17k human cDNA microarray. Results: For analysis of the cDNA microarray, the genes were filtered using the sum of the median value of Cy3 and Cy5 signal intensity of greater than 800. Expression of 264 genes was changed by more than 2 fold, and the expression of 35 genes was changed more than 3 fold after treatment with doxorubicin. The genes were primarily related to cell death, cell growth and maintenance, signal transduction, cellular component, transport, and metabolism. Conclusion: Treatment with doxorubicin induced expressional change of many genes. Some of the genes might be related with apoptosis directly or indirectly. Further study is now needed to characterize these genes.