• The Research Journal of the Costume Culture
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• v.13 no.6 s.59
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• pp.999-1010
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• 2005

The purposes of this study were to investigate used patterns in Hanbok and to find out a classification and a characteristic of motifs. The data made use of 111 pictures constituted Gegory(a Korean jacket) and Chima(a skirt) in photographs collected in wedding magazine(Wedding 21'). The data was analyzed by frequency, contents analysis. Pattern's use or not in Hanbok and a sort, a arrangement, a way of expression of patterns using frequency Classified and characteristics of motifs were analyzed contents analysis. The results of this study were as follows. First, a sort of patterns was lots of flower motifs of the plant pattern. An arrangement of and expression of patterns used mainly a partial arrangement and embroidery expression. Second, the subjects classified using criterion of classification of a external feature, forms of expression, and simplicity/complexity of line. Third, the motifs classified into plants, an animal, geometry, abstraction, and a natural object. The plant motifs were perceived the focus of flower, a combination of a flower and a stem in the plant motifs. The subjects perceived as a simplicity/complexity of flower and a drawing line of a flower and a stem.

• Molecular & Cellular Toxicology
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• v.5 no.4
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• pp.335-345
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• 2009

A major source of paeoniflorin (PF) which was from the Paeonia lactiflora root, has been used as a herbal medicine in East Asia for its antiallergic, antiinflammatory, and immunoregulatory effects. However, only few details are known about the mechanism of apoptosis induced by this compound. The present study was undertaken to further elucidate the molecular mechanism of apoptosis and the changes of gene expression elicited by PF using DNA microarrays and computational gene-expression analysis tools in human leukemia U937 cells. A comparative global transcription analysis between treatment with PF and anisomycin (AM) that induces apoptosis in U937 cells revealed that c-Jun-$NH_2$-kinase (JNK) pathway related genes were less expressed in PF-treated cells. Elucidation of the mechanisms by which PF conducts its anti-cancer activities through comparative analysis of the gene expression is necessary to provide a solid foundation for its use as a promising agent in prevention and treatment strategies.

• KSBB Journal
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• v.7 no.3
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• pp.155-160
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• 1992

To improve the nutritional quality of plant proteins, a synthetic gene, called HEAAE (high essential amino acid encoding)-DNA, was introduced and expressed in tobacco plants. The synthetic gene, which is 292 basepair-long, codes for a protein composed of about 80% essential amino acids. To improve its expression level in plants, Cauliflower Mosaic Virus (CaMV) 355 and CaMV duplicate 35S promoters which are known as strong promoters were used with Nopaline Synthase promoter as a control. Transformed and regenerated tobacco plants were subject to analysis for introduction and expression of this gene. Integration of the gene into the plant genome and its expression into mRNAs and its proteins have been demonstrated using Southern, northern blot analysis and amino acid analysis. The differences of expression levels among CaMV duplicate 35S, CaMV 35S and Nopaline Synthase promoters are significant in term of mRNAs, but not in terms of proteins.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.2003-2007
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• 2012

Purpose: E-cadherin is a transmemberane protein which is responsible for adhesion of endothelial cells. The aim of our study was to assess existing evidence of associations between reduced expression of E-cadherin and prognosis of ovarian cancer with a discussion of potential approaches to exploiting any prognostic value for improved clinical management. Methods: We conducted a meta-analysis of 9 studies (n=915 patients) focusing on the correlation of reduced expression of E-cadherin with overall survival. Data were synthesized with random or fixed effect hazard ratios. Results: The studies were categorized by author/year, number of patients, FIGO stage, histology, cutoff value for E-cadherin positivity, and methods of hazard rations (HR) estimation, HR and its 95% confidence interval (CI). Combined hazard ratios suggested that reduced expression of E-cadherin positivity was associated with poor overall survival (OS), HR= 2.10, 95% CI:1.13-3.06. Conclusion: The overall survival of the E-cadherin negative group with ovarian cancer was significant poorer than the E-cadherin positive group. Upregulation of E-cadherin is an attractive therapeutic approach that could exert significant effects on clinical outcome of ovarian cancer.

• Journal of Plant Biotechnology
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• v.43 no.1
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• pp.37-48
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• 2016

The transcriptional profiles of 'Tamnara' grapevine (Vitis labruscana L.) to Rhizobium vitis were determined using 12,000 gene oligonucleotide microarray chips constructed with 6,776 unigenes based on the EST sequencing. Among them, 95 clones were up-regulated more than three times and 90 were down-regulated more than 5-times in the R. vitis-inoculated grapevines relative to the control vines. Treatment of salicylic acid showed that 337 clones were upregulated and 52 clones were down regulated in grapevines. Microarray analysis, reverse transcription-polymer chain reaction, and slot blot hybridization analysis revealed that 5, 14, and 64 clones were up-regulated and 10, 12, and 61 clones were down-regulated in wounded, salicylic acid-treated, and R. vitis-inoculated 'Tamnara' grapevine leaves, respectively. The expression patterns of ${\beta}$-1,3-glucanase, proline-rich protein, and lipoxygenase genes of 'Tamnara' moderately resistant to R. vitis were similar to those of resistant 'Concord' and 'Delaware' grapevines. However, chalcone synthase genes in 'Tamnara' grapevines showed similar expression patterns to susceptible grapevines 'Neomuscat' and 'Rizamat'. Further expression studies with various clones for each gene should be conducted to elucidate their roles in resistant responses against pathogens or other stimuli in grapevines. These results could provide better resources for understanding the mechanism of defense responses against crown gall disease and clues for identifying new genes that may play a role in defense against R. vitis in grapevines.

• Journal of Plant Biotechnology
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• v.45 no.4
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• pp.315-321
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• 2018

Molecular and functional characterization of proteins and their levels is of great interest in understanding the mechanism of diverse cellular processes. In this study, we report on the convenient Escherichia coli-based protein expression system that allows recombinant of soluble proteins expression and cytosolic domain of membrane-localised kinases, followed by the detection of autophosphorylation activity in protein kinases. This approach is applied to regulatory proteins of Arabidopsis thaliana, including 14-3-3, calmodulin, calcium-dependent protein kinase, TERMINAL FLOWER 1(TFL1), FLOWERING LOCUS T (FT), receptor-like cytoplasmic kinase and cytoplasmic domain of leucine-rich repeat-receptor like kinase proteins. Our Western blot analysis which uses phospho-specific antibodies showed that five putative LRR-RLKs and two putative RLCKs have autophosphorylation activity in vitro on threonine and/or tyrosine residue(s), suggesting their potential role in signal transduction pathways. Our findings were also discussed in the broader context of recombinant expression and biochemical analysis of soluble and membrane-localised receptor kinases in microbial systems.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.1
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• pp.123-128
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• 2010

Graph expression of attack scenarios is a necessary method for analysis of vulnerability in server as well as the design for defence against attack. Although various requirement analysis model are used for this expression, they are restrictive to express combination of complex scenarios. Role Based Petri Net suggested in this paper offer an efficient expression model based role on Petri Net which has the advantage of concurrency and visuality and can create unknown scenarios.

• Journal of Animal Reproduction and Biotechnology
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• v.36 no.4
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• pp.314-322
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• 2021

Paired box protein, PAX7, is a key molecule for the specification, maintenance and skeletal muscle regeneration of muscle satellite cells. In this study, we identified and characterized the cDNA and amino acid sequences of PAX7 from black sea bream (Acanthopagrus schlegelii) via molecular cloning and sequence analysis. A. schlegelii PAX7 cDNA was comprised of 1,524 bp encoding 507 amino acids and multiple sequence alignment analysis of the translated amino acids showed that it contained three domains including paired DNA-binding domain, homeobox domain and OAR domain which were well conserved across various animal species investigated. Pairwise Sequence Alignment indicated that A. schlegelii PAX7 had the same amino acid sequences with that of yellowfin seabream (A. latus) and 99.8% identity and similarity with that of gilt-head bream (Sparus aurata). Molecular phylogenetic analysis confirmed that A. schlegelii PAX7 formed a monophyletic group with those of teleost and most closely related with those of the fish that belong to Sparidae family including A. latus and S. aurata. In the investigation of its tissue specific mRNA expression, the expression was specifically identified in skeletal muscle tissue and a weak expression was also shown in gonad tissue. The cultured cells derived from skeletal muscle tissues expressed PAX7 mRNA at early passage but the expression was not observed after several times of subculture.

• Journal of Environmental Science International
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• v.32 no.12
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• pp.979-985
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• 2023

After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.44-55
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• 2009

Diagnosis of diseases using gene expression data obtained from microarray chip is an active research area recently. It has been done by general machine learning algorithms, because it is difficult to analyze directly. However, recent research results about the analysis based on the interaction between genes is essential for the gene expression analysis, which means the analysis using the traditional machine learning algorithms has limitations. In this paper, we classify the gene expression data using the hyper-network model that considers the higher-order correlations between the features, and then compares the classification accuracies. And also, we present the new hypo-network model that improve the disadvantage of existing model, and compare the processing performances of the existing hypo-network model based on general sequential processor and the improved hypo-network model implemented on parallel processors. In the experimental results, we show that the performance of our model shows improved and competitive classification performance than traditional machine learning methods, as well as, the existing hypo-network model. We show that the performance is maximized when the hypernetwork model is implemented on our parallel processors.