• Microbiology and Biotechnology Letters
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• v.22 no.5
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• pp.477-484
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• 1994

Using a methylotrophic yeast Hansenula polymorpha, a heterologous gene expression and secretion system was developed for the production of hEGF(human Epidermal Growth Factor) which has been shown to promote epithelial cell proliferation and to inhibit gastric acid secretion. The hEGF gene was chemically synthesized according to the preferred codon usage in H. polymor- pha and expressed under the control of the strong and inducible methanol oxidase(MOX) promoter. The mating factor $\alpha$ pre-pro leader sequence of Saccharomyces cerevisiae was employed for hEGF to be secreted into the extracellular medium. This expression cassette was stably integrated into the host chromosomal DNA. Mature hEGF was efficiently expressed and secreted into the extracel- lular medium. About 24 mg/l of hEGF was detected in the cuture supernatant of a transformant with pA-EGF3 under the suboptimal culture conditions.

• Microbiology and Biotechnology Letters
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• v.30 no.3
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• pp.206-209
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• 2002

For the expression of CGTase gene(cgtS) kom Bacillus stearothemophilus NO2 in Saccharomyces cerevisiae, cgtS gene was subcloned into the Eschepichia coll-yeast shuttle vector, pVT103-U. The constructed plasmid, pVT-CGTS was introduced to 5. cemi-siae 2805 cell, and then the cgtS gene under the control of adhl promoter was successfully expressed in the yeast transformant and 87% of the total activity was detected into the fermentation medium. Therefore, the signal peptide of B. stearothemephilus NO2 CeTase showed high secretion efficiency in 5. cerevisiae. Optimal conditions of the recombinant yeast cell f3r expression of CGTase was achieved, when 5. cerevisiae 2805/pv7-CGTS was cultivated on YP medium at 2% dextrose, pH 5.5,$30^{\circ}C$ and the expression level of CGTase was 0.624units/mL for 48 h culture.

• Journal of Microbiology and Biotechnology
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• v.22 no.3
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• pp.316-325
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• 2012

Xylanase has been used extensively in the industrial and agricultural fields. However, the low-yield production of xylanase from native species cannot meet the increasing demand of the market. Therefore, improving the heterologous expression of xylanase through basic gene optimization may help to overcome the shortage. In this study, we synthesized a high-GC-content native sequence of the thermostable xylanase gene xynB from Streptomyces olivaceoviridis A1 and, also designed a slightly AT-biased sequence with codons completely optimized to be favorable to Pichia pastoris. The comparison of the sequences' expression efficiencies in P. pastoris X33 was determined through the detection of single-copy-number integrants, which were quantified using qPCR. Surprisingly, the high GC content did not appear to be detrimental to the heterologous expression of xynB in yeast, whereas the optimized sequence, with its extremely skewed codon usage, exhibited more abundant accumulation of synthesized recombinant proteins in the yeast cell, but an approximately 30% reduction of the secretion level, deduced from the enzymatic activity assay. In this study, we developed a more accurate method for comparing the expression levels of individual yeast transformants. Moreover, our results provide a practical example for further investigation of what constitutes a rational design strategy for a heterologously expressed and secreted protein.

• Korean Journal of Microbiology
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• v.28 no.2
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• pp.114-119
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• 1990

A yeast chromosomal superkiller gene (SK13) was cloned and expressed in $ski3^{-}$ Saccharomyces cerevisiae strains. The gene was fused to the structural region of E. coli lacZ gene at its C-terminus in a yeast-E. coli shuttle vector, pSR605. The fused gene complemented $ski3^{-}$ strains with SK13 activity and the quantitative level of expression was measured as determined by assaying $\beta$-galactosidase activity. The SDS-polyacrylamide gel electrophoresis and the Western blot analysis of this fused protein showed the immuno-reacted bands with a protein of the estimated molecular size (ca.250Kd).

• Microbiology and Biotechnology Letters
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• v.23 no.2
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• pp.138-144
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• 1995

The cDNA, encoding human lysozyme (HLY) which was isolated from a human placenta cDNA library, has been well characterized (Yoshimura et al., 1988). Based on the communication, we have prepared an artificial HLY gene from chemically synthesized 38-oligomer with high codon usage in Saccharomyces cerevisiae. For directing the synthesis and secretion of HLY in S. cerevisiae, an expression vector, pHKl was constructed by inserting the HLY gene, containing a synthetic HLY secretion signal sequence, between the yeast GAP promoter and PH05 terminator. From a lysoplate assay, we have confirmed an yeast transformant harboring a pHK1 which makes a clearing zone on the overlayed Micrococcus luteus. This result means a chemically synthesized HLY gene which was normally expressed and secreted in yeast.

• Journal of Life Science
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• v.11 no.2
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• pp.190-195
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• 2001

The cuclodextrin glucanotransferase (CGTase) gene of Bacillus macerans was subcloned at the downstream of yeast ADH1 promoter, and then the resulting plasmid pVT-CGTM(9.15 kb) was introduced into the yeast host strain, Saccharomyces cerevisias 2805. The transformed yeast, S. cerevisiae 2805/pVT-CGTM, showed the starch-hydrolyzing activity on the starch-azure plate. The optimal conditions for the CGTase expression were found to be 2% dextrose, initial pH5.5, 3$0^{\circ}C$, and 48hr cultivation. Under this condition, the extracellular CGTase activity reached at 0.53 U/mL, whereas the intracellular activity was about 0.03U/mL. This result indicates that the signal peptide of Bacillus CGTase functioned well in S. cerevisiae.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.4-6
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• 2006

Tree-dependent component analysis (TCA) is a generalization of independent component analysis (ICA), the goal of which is to model the multivariate data by a linear transformation of latent variables, while latent variables fit by a tree-structured graphical model. In contrast to ICA, TCA allows dependent structure of latent variables and also consider non-spanning trees (forests). In this paper, we present a TCA-based method of clustering gene expression data. Empirical study with yeast cell cycle-related data, yeast metaboiic shift data, and yeast sporulation data, shows that TCA is more suitable for gene clustering, compared to principal component analysis (PCA) as well as ICA.

• Molecules and Cells
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• v.28 no.4
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• pp.369-373
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• 2009

Heterologous secretory expression of endoglucanase E (Clostridium thermocellum) and ${\beta}$-glucosidase 1 (Saccharomycopsis fibuligera) was achieved in Saccharomyces cerevisiae fermentation cultures as an ${\alpha}$-mating factor signal peptide fusion, based on the native enzyme coding sequence. Ethanol production depends on simultaneous saccharification of cellulose to glucose and fermentation of glucose to ethanol by a recombinant yeast strain as a microbial biocatalyst. Recombinant yeast strain expressing endoglucanase and ${\beta}$-glucosidase was able to produce ethanol from ${\beta}$-glucan, CMC and acid swollen cellulose. This indicates that the resultant yeast strain of this study acts efficiently as a whole cell biocatalyst.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.741-753
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• 2011

We accomplish clustering analyses for yeast cell cycle microarray expression data. We compare model-based clustering, K-means, PAM, SOM and hierarchical Ward method with yeast data. As the validity measure for clustering results, connectivity, Dunn Index and silhouette values are computed and compared.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.63-68
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• 2005

Transcription factors regulate gene expression by binding to gene upstream region. Each transcription factor has the specific binding site in promoter region. So the analysis of gene upstream sequence is necessary for understanding regulatory mechanism of genes, under a plausible idea that assumption that DNA sequence motif profiles are closely related to gene expression behaviors of the corresponding genes. Here, we present an effective approach to the analysis of the relation between gene expression profiles and gene upstream sequences on the basis of kernel canonical correlation analysis (kernel CCA). Kernel CCA is a useful method for finding relationships underlying between two different data sets. In the application to a yeast cell cycle data set, it is shown that gene upstream sequence profile is closely related to gene expression patterns in terms of canonical correlation scores. By the further analysis of the contributing values or weights of sequence motifs in the construction of a pair of sequence motif profiles and expression profiles, we show that the proposed method can identify significant DNA sequence motifs involved with some specific gene expression patterns, including some well known motifs and those putative, in the process of the yeast cell cycle.