• Journal of Microbiology and Biotechnology
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• v.14 no.6
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• pp.1239-1248
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• 2004

The methylotrophic yeast Hansenula polymorpha has been extensively studied as a model organism for methanol metabolism and peroxisome biogenesis. Recently, this yeast has also attracted attention as a promising host organism for recombinant protein production. Here, we describe the fabrication and evaluation of a DNA chip spotted with 382 open reading frames (ORFs) of H. polymorpha. Each ORF was PCR-amplified using gene-specific primer sets, of which the forward primers had 5'-aminolink. The PCR products were printed in duplicate onto the aldehyde-coated slide glasses to link only the coding strands to the surface of the slide via covalent coupling between amine and aldehyde groups. With the partial genome DNA chip, we compared efficiency of direct and indirect cDNA target labeling methods, and found that the indirect method, using fluorescent-labeled dendrimers, generated a higher hybridization signal-to-noise ratio than the direct method, using cDNA targets labeled by incorporation of fluorescence-labeled nucIeotides during reverse transcription. In addition, to assess the quality of this DNA chip, we analyzed the expression profiles of H. polymorpha cells grown on different carbon sources, such as glucose and methanol, and also those of cells treated with the superoxide­generating drug, menadione. The profiles obtained showed a high-level induction of a set of ORFs involved in methanol metabolism and oxidative stress response in the presence of methanol and menadione, respectively. The results demonstrate the sensitivity and reliability of our arrays to analyze global gene expression changes of H. polymorpha under defined environmental conditions.

• Journal of Physiology & Pathology in Korean Medicine
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• v.17 no.6
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• pp.1393-1403
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• 2003

The genetic effects of restraint stress challenge on HPA axis and the therapeutic effect of Boshimgeonbi-Tang on the stress were studied with cDNA microarray analyses on hypothalamus using an immobilization-stress mouse as stress model. Male CD-1 mice were restrained in a tightly fitted and ventilated vinyl holder for 2hours once a day, and this challenge was repeated for seven consecutive days. The body weights of the immobilization-stress mice were diminished about 25 percent degree as compared to normal ones. Seven days later, total RNA was extracted from the organs of the mouse, body-labeled with CyDye/sup TM/ fluorescence dyes (Amersham Bioscience Co., NJ), and then hybridized to cDNA microarray chip. Scanning and analyzing the array slides were carried out using GenePix 4000 series scanner and GenePix Pro/sup TM/ analyzing program, respectively. The expression profiles of 109 genes out of 6000 genes on the chip were significantly modulated in hypothalamus by the immobilization stress. Energy metabolism-, lipid metabolism-, apoptosis- and signal transduction-related genes were transcriptionally activated whereas DNA repair-, protein biosynthesis-, and structure integrity-related genes were down-regulated in hypothalamus. The 58 genes were up-regulated by the mRNA expression folds of 1.5 to 7.9. and the 51 genes were down-regulated by 1.5 - 3.5 fold. The 20 genes among them were selected to confirm the expression profiles by RT-PCR. The mRNA expression levels of Tnfrsf1a (apoptosis), Calm2 (cell cycle), Bag3 (apoptosis), Hspe1 (protein folding), Aatk (apoptosis), Dffa (apoptosis), Itgb1 (cell adhesion), Vcam1 (cell adhesion), Fkbp5 (protein folding), BDNF (neuron survival) were restored to the normal one by the treatment of Boshimgeonbi-Tang.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.8
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• pp.1091-1101
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• 2009

In an attempt to understand the biochemical mechanism for the synthesis of the anabolic steroid, 19-nortestosterone, produced by prepubertal boar testes and its physiological role, normalized complementary DNA (cDNA) from boar testes was generated. DNA sequencing of 2,016 randomly selected clones yielded 794,116 base pairs of high quality nucleotide sequence. Computer-assisted assembly of the nucleotide sequence of each clone resulted in 423 contigs and 403 singletons including several genes for steroidogenic enzymes and molecules related to steroid metabolism. Analysis of gene expression pattern by use of the presently-fabricated cDNA microarray identified a number of genes that were differentially expressed during the postnatal development period in boar testes. Two genes of unknown function were identified to be highly expressed in the testis of 2-weeks-old neonatal boar. In addition, the sequencing of open reading frames of these genes revealed their homology with human alpha hemoglobin and Homo sapiens hypothetical LOC643669, transcript variant 1. Moreover, the transcripts of these genes were also detected in porcine muscle and adipocytes, in addition to Leydig cells of pigs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3C
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• pp.112-118
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• 2005

In this paper, we propose a new nonlinear matching measure for automatic analysis of the on-off type DNA microarray images in which the hybridized spots are detected by the template matching method. The proposed measure is obtained by binary-thresholding over the whole template region and taking the number of white pixels inside the spotted area. This measure is compared with the normalized covariance in terms of the classification ability of the successfulness of the locating markers. The proposed measure is evaluated for the scanned images of HPV DNA microarrays where the marker locating is a critical issue because of the small number of spots. The targeting spots of HPV DNA chips are designed for genotyping 22 types of the human papilloma virus(HPV). The proposed measure is proven to give more discriminative response reducing the miss cases of the successful marker locating.

• Genomics & Informatics
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• v.2 no.1
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• pp.30-35
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• 2004

To investigate the XIST gene expression and its effect in a Klinefelter's patient, we used Klinefelter's syndrome (XXY) patient with azoospermia and also used a normal male (XY) and a normal female (XX) as the control, We were performed cytogenetic analysis, Y chromosomal microdeletion assay (Yq), semi-quantitative RT-PCR, and the Northern blot for Klinefelter's syndrome (KS) patient, a female and a male control, We extracted total RNA from the KS patient, and from the normal cells of the female and male control subjects using the RNA prep kit (Qiagen), cDNA microarray contained 218 human X chromosome-specific genes was fabricated. Each total RNA was reverse transcribed to the first strand cDNA and was labeled with Cy-3 and Cy-5 fluorescein, The microarray was scanned by ScanArray 4000XL system. XIST transcripts were detected from the Klinefelters patient and the female by RT-PCR and Northern blot analysis, but not from the normal male, In the cDNA microarray experiment, we found 24 genes and 14 genes are highly expressed in KS more than the normal male and females, respectively. We concluded that highly expressed genes in KS may be a resulted of the abnormal X inactivation mechanism.

• 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.20 no.4
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• pp.602-606
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• 2010

Type 2 diabetes is a typical polygenic disease complex, for which several common risk alleles have been identified. Proteins in the matrix metalloproteinase-3 (MMP3) family are involved in the breakdown of the extracellular matrix in normal physiological processes such as embryonic development, reproduction and tissue remodeling, as well as in disease processes. Therefore, we investigated the genotype for the A(-267)G, A658G and T813C polymorphisms in the MMP3 gene in the Korean population and compared genotypes of patients with those of the control group. 200 patients (male 108, female 92), who had previously been diagnosed with type 2 diabetes (T2DM) and 100 control subjects (male 36, female 64) participated in this study. There was a strong association between A(-267)G and A658G polymorphism in the MMP3 gene and T2DM. The present study shows that MMP3 polymorphisms (A(-267)G and A658G) may be associated with the pathogenesis of T2DM. Further studies with a larger population may be needed for the development of diagnostic methods at a genetic level, such as DNA chip.

• Proceedings of the Korean Society of Toxicology Conference
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• 2002.05a
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• pp.81-81
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• 2002

The recent development of cDNA microarray or cDNA chip technology has made it possible to analyze the expression of thousands of genes at once. In present study, we made radioresistant clones (#1 and #4) from NIH3T3 cells which are not tumorigenic and we identified 4 genes using microarray system, cdk6, cdc25B, mdm-2 and nidogene, which were altered in radiaiton resistanct NIH3T3 cells.(omitted)

• Genomics & Informatics
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• v.1 no.2
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• pp.94-100
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• 2003

Motivation: Many have observed a nonlinear relationship between the signal intensity and the transcript abundance in microarray data. The first step in analyzing the data is to normalize it properly, and this should include a correction for the nonlinearity. The commonly used linear normalization schemes do not address this problem. Results: Nonlinearity is present in both cDNA and oligonucleotide arrays, but we concentrate on the latter in this paper. Across a set of chips, we identify those genes whose within-chip ranks are relatively constant compared to other genes of similar intensity. For each gene, we compute the sum of the squares of the differences in its within-chip ranks between every pair of chips as our statistic and we select a small fraction of the genes with the minimal changes in ranks at each intensity level. These genes are most likely to be non-differentially expressed and are subsequently used in the normalization procedure. This method is a generalization of the rank-invariant normalization (Li and Wong, 2001), using all available chips rather than two at a time to gather more information, while using the chip that is least likely to be affected by nonlinear effects as the reference chip. The assumption in our method is that there are at least a small number of non­differentially expressed genes across the intensity range. The normalized expression values can be substantially different from the unnormalized values and may result in altered down-stream analysis.