• The Korea Genome Conference
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• 2006.09a
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• pp.50-50
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• 2006

• 한국데이터정보과학회:학술대회논문집
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• 2005.10a
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• pp.95-102
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• 2005

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.143-143
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• 2006

• 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 Applied Biological Chemistry
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• v.55 no.4
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• pp.227-234
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• 2012

We observed that oil began to accumulate at 25 seed days after flowering (DAF) and reached the maximum potential at 35 seed DAF of oilseed rape, and the greatest weight of 100 seeds was obtained at 35 seed DAF. To survey a broad analysis of gene expression in developing embryos of Brassica napus, the Bn 300k microarray have been constructed. The Bn 300k Microarrary was designed from 80,696 unigenes clustered from 543,448 ESTs and 780 cDNA at NCBI. These arrays have been hybridized in a series of experiments with probes derived from seeds and leaf of B. napus. Approximately 8.5% of the 7,000 genes were expressed as ratios 2-fold higher in seed (25 DAF) than leaves and 0.4% at ratios 10. Also we observed that storage and cell differentiation-related genes were highly expressed at 10 DAF, whereas energy-related genes including fatty acid metabolism were increased up depending on seed maturation using Microarray, which was confirmed by reverse transcriptase polymerase chain reaction. These results suggest that B. napus arrays provide a very useful data set of seed-specific expression that can be further analyzed by examination of the promoter regions of these genes and help our understanding of the complex regulatory network in developing seeds.

• Journal of Life Science
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• v.17 no.8 s.88
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• pp.1115-1120
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• 2007

In the present study, we investigated whether several phytochemicals (resveratrol, genistein, epicatechin gallate, dially disulfide, caffeic acid phenetyl ester) and sulindac sulfide could induce expression of tumor suppressor p53 protein in human colorectal HCT116 cells. We found that p53 was dramatically induced by all phytochemical treatments except sulindac sulfide. Among treated phytochemicals, we selected resveratrol for further experiments because it is one of the highest p53 inducer. Using a Western blot analysis, we found that resveratrol induced p53 in a dose- and time-dependent manner. Additionally, using membrane-based microarray analysis, we found that twenty-five genes were up-regulated and two genes were down-regulated by resveratrol treatment. Among the up-regulated genes, we selected 4 genes and performed reverse-transcription-PCR to confirm microarray data. The results of RT-PCR were highly accorded with those of membrane microarray. In addition, we found that thrombospondin-1 (TSP-1) expression was not dependent on p53 presence, whereas mammary serine protease inhibitor (MASPIN) expression was dependent on p53 expressed by resveratrol treatment. The results of this study may help to promote our understandings of the molecular mechanisms of chemoprevention that are mediated by resveratrol in human colorectal cancer.

• KSBB Journal
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• v.20 no.3
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• pp.220-227
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• 2005

Doxorubicin is an anthracycline-family polyketide compound with a very potent anti-cancer activity, typically produced by Streptomyces peucetius. To understand the potential target biosynthetic genes critical for the doxorubicin everproduction, a doxorubicin-specific DNA microarray chip was fabricated and applied to reveal the growth-phase-dependent expression profiles of biosynthetic genes from two doxorubicin-overproducing strains along with the wild-type strain. Two doxorubicin-overproducing 5. peucetius strains were generated via over-expression of a dnrl (a doxorubicin-specific positive regulatory gene) and a doxA (a gene involved in the conversion from daunorubicin to doxorubicin) using a streptomycetes high expression vector containing a strong ermE promoter. Each doxorubicin-overproducing strain was quantitatively compared with the wild-type doxorubicin producer based on the growth-phase-dependent doxorubicin productivity as well as doxorubicin biosynthetic gene expression profiles. The doxorubicin-specific DNA microarray chip data revealed the early-and-steady expressions of the doxorubicin-specific regulatory gene (dnrl), the doxorubicin resistance genes (drrA, drrB, drrC), and the doxorubicin deoxysugar biosynthetic gene (dnmL) are critical for the doxorubicin overproduction in S. peucetius. These results provide that the relationship between the growth-phase-dependent doxorubicin productivity and the doxorubicin biosynthetic gene expression profiles should lead us a rational design of molecular genetic strain improvement strategy.

• Journal of Life Science
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• v.22 no.11
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• pp.1552-1557
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• 2012

It has been reported that pipernonaline isolated from Piper longum Linn. has a wide biochemical and pharmacological effect, including antitumor activity in prostate cancer PC-3 cells. However, its mechanism and expression pattern of many genes involved in biological functions are not clearly understood. To perform the gene expression study in PC-3 cells treated with pipernonaline, a cDNA microarray chip composed of 44,000 human cDNA probes was used. As a result, cell cycle-related genes, apoptosis-related genes, and cell proliferation/growth-related genes have been identified in gene ontology of the DAVID database. These results suggest that pipernonaline has antitumor activity by regulating the expression pattern of genes involved in biological signaling pathway in prostate cancer PC-3 cells. Further, additional analysis of these microarray data can be a useful tool to identify the mechanism and discovery of novel genes in cancer therapy.

• 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.

• 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.