• Korean Journal of Fisheries and Aquatic Sciences
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• v.57 no.3
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• pp.239-252
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• 2024

Recombination activating genes (RAGs) play a crucial role in initiating V(D)J recombination, which is essential for developing adaptive immunity in vertebrates. In this study, we cloned and characterized RAG1/2 cDNA from the marine medaka Oryzias dancena (OdRAG1/2) and investigated their mRNA expression patterns during ontogenetic developmental stages. The OdRAG1 and OdRAG2 cDNA contained open reading frames (ORFs) encoding proteins containing 1,078 and 531 amino acids, respectively. Multiple sequence alignment and phylogenetic analysis revealed that OdRAG1 and OdRAG2 are highly conserved with their corresponding orthologs, featuring distinct core and non-core regions. Notably, expression analysis showed that, in contrast to other fish RAGs studied, OdRAG1/2 expression peaked at 0 days post-hatching (DPH). Additionally, for the expression of T and B cell differentiation markers, CD3γ and CD20, also peaked at 0 DPH. Collectively, adaptive immunity in O. dancena potentially begins during embryonic development, which is critical for V(D)J recombination and essential immune component development, suggesting the early ontogenetic stage interactions between innate and adaptive immunity.

• Genomics & Informatics
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• v.5 no.1
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• pp.10-18
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• 2007

Numerous studies have reported that genes with similar expression patterns are co-regulated. From gene expression data, we have assumed that genes having similar expression pattern would share similar transcription factor binding sites (TFBSs). These function as the binding regions for transcription factors (TFs) and thereby regulate gene expression. In this context, various analysis tools have been developed. However, they have shortcomings in the combined analysis of expression patterns and significant TFBSs and in the functional analysis of target genes of significantly overrepresented putative regulators. In this study, we present a web-based A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms (FCAnalyzer). This system integrates microarray clustering data with similar expression patterns, and TFBS data in each cluster. FCAnalyzer is designed to perform two independent clustering procedures. The first process clusters gene expression profiles using the K-means clustering method, and the second process clusters predicted TFBSs in the upstream region of previously clustered genes using the hierarchical biclustering method for simultaneous grouping of genes and samples. This system offers retrieved information for predicted TFBSs in each cluster using $Match^{TM}$ in the TRANSFAC database. We used gene ontology term analysis for functional annotation of genes in the same cluster. We also provide the user with a combinatorial TFBS analysis of TFBS pairs. The enrichment of TFBS analysis and GO term analysis is statistically by the calculation of P values based on Fisher’s exact test, hypergeometric distribution and Bonferroni correction. FCAnalyzer is a web-based, user-friendly functional clustering analysis system that facilitates the transcriptional regulatory analysis of co-expressed genes. This system presents the analyses of clustered genes, significant TFBSs, significantly enriched TFBS combinations, their target genes and TFBS-TF pairs.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.681-692
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• 2020

This study analyzed a textbook published for Korean culture education in a trend of communicative teaching methods, and suggested the ways for the integrated diversity of culture education with expression activities. This study set up the final goal of strengthening 'cultural competence' which is the next stage of 'cultural awareness' and 'cultural literacy' in the goal hierarchy for culture education, and analyzed not only the theme distribution but the patterns of expression activities in the textbook. It assumed that one of the most effective ways to achieve the goal is the convergence with expression activities in order to strengthen 'cultural competence' which aims to the creative culture production as well as the simple comparison between learners' mother culture and the target culture. This textbook is characterized by abundant visual materials, focus on the behavior culture and the information culture rather than the achieved culture. and media reading materials in diverse levels for utilization possibly in any proficiency levels. Also, it found out by analyzing the patterns of expression activities that the question forms inducing learners' speech and writing are restricted to a few patterns. Lastly, this study proposed the ways to achieve the goal "cultural competence" as follows: diversity of question forms, extension of expression activities and creative application in integrating the related activities.

• Journal of Veterinary Science
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• v.24 no.5
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• pp.73.1-73.16
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• 2023

Background: Highly pathogenic avian influenza virus (HPAIV) is considered a global threat to both human health and the poultry industry. MicroRNAs (miRNA) can modulate the immune system by affecting gene expression patterns in HPAIV-infected chickens. Objectives: To gain further insights into the role of miRNAs in immune responses against H5N1 infection, as well as the development of strategies for breeding disease-resistant chickens, we characterized miRNA expression patterns in tracheal tissues from H5N1-infected Ri chickens. Methods: miRNAs expression was analyzed from two H5N1-infected Ri chicken lines using small RNA sequencing. The target genes of differentially expressed (DE) miRNAs were predicted using miRDB. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were then conducted. Furthermore, using quantitative real-time polymerase chain reaction, we validated the expression levels of DE miRNAs (miR-22-3p, miR-146b-3p, miR27b-3p, miR-128-3p, miR-2188-5p, miR-451, miR-205a, miR-203a, miR-21-3p, and miR-200a3p) from all comparisons and their immune-related target genes. Results: A total of 53 miRNAs were significantly expressed in the infection samples of the resistant compared to the susceptible line. Network analyses between the DE miRNAs and target genes revealed that DE miRNAs may regulate the expression of target genes involved in the transforming growth factor-beta, mitogen-activated protein kinase, and Toll-like receptor signaling pathways, all of which are related to influenza A virus progression. Conclusions: Collectively, our results provided novel insights into the miRNA expression patterns of tracheal tissues from H5N1-infected Ri chickens. More importantly, our findings offer insights into the relationship between miRNA and immune-related target genes and the role of miRNA in HPAIV infections in chickens.

• School Mathematics
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• v.4 no.2
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• pp.297-316
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• 2002

In this paper, a teaching unit on series of number sentences with patterns is designed according to Wittmann's perspectives. In this paper, series of number sentences wish patterns means number sentences in which some patterns are contained. especially, seven kinds of number sentences wish patterns are offered as basic materials, and fifteen tasks based on these basic materials are offered. These tasks are for ninth grade students and higher grade students. These tasks heap students to recognize patterns, and to understand mechanism underlying in those patterns by looking for patterns and proving whether these patterns are generally hold. As working on these tasks, students can reinforce meaning of algebraic expression, its manipulation, and concept of number series. Students also can reinforce mathematical thinking such as analogical thinking, deductive thinking, etc. In this point, this teaching unit reveal important objectives, contents, and Principles of mathematics education. This teaching unit can also be rich sources for student's activities. Especially, for each task's level is different, each student's personal ability is considered fully. Since teachers can know mathematical facet, psychological facet, and didactical facet holistically, this teaching unit can offer broad possibilities for experimental studies. SD, this leaching unit can be said to be substantial. In this paper, this leaching unit is not applied in classroom directly. Actually such applying in classroom is suggested as follow-up studies. By appling this teaching unit in various classroom, some effective informations for teaching this teaching unit and some particular phenomenons in those teaching processes can be identified, and this teaching unit can be revised to be better one.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1410-1420
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• 2005

The purpose of this study was to analyze characteristics of effective expression on T-shirts pattern by peirce's semiotic theory. The methods of this study was to analyze 721 T-shirts patterns in designer's collection from 2000 to 2004. The results of this study were as follows: First of all, iconic expression showed high frequency after 2000. Characteristics of effective expression were as follows: In geometric expression, repetition was presented as a symbolic sign by regular proportion and rule of dot, line, plane, irregularity, mixture of irregular dot, line, plane. Mixed expression was presented as a iconic and symbolic sign by collage, mixture of dot, line, plane, icon and letter. In iconic expression, simplification of iconic sigrl was presented as a iconic sign by simplification of form, color, texture, realistic expression using digital as a iconic sign, and symbolic face, body as a symbolic sign. Pop art's expression was presented as a iconic sign by a cartoon and commercial character and illusion was presented as a iconic sign. In letter's expression, brand logo was presented as a symbolic sign by transformation of letter's design, a symbolic sign of numeral by transformation of size, thickness, form, color. Symbolic message phrase was presented by slogan, fashion trend, brand image, descriptive indication message as a index sign by using icon or singleness. In conclusion, characteristics of effective expression on T-shirts pattern will present not only the theoretical foundation to raise the value added, but also the information about beauty sense of times, political and social value.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.11
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• pp.1916-1921
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• 2008

This paper presents the temporal classification method based on data mining techniques for discovering knowledge from measured load patterns of distribution transformers. Since the power load patterns have time-varying characteristics and very different patterns according to the hour, time, day and week and so on, it gives rise to the uninformative results if only traditional data mining is used. Therefore, we propose a temporal classification rule for analyzing and forecasting transformer load patterns. The main tasks include the load pattern mining framework and the calendar-based expression using temporal association rule and 3-dimensional cube mining to discover load patterns in multiple time granularities.

• Genomics & Informatics
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• v.17 no.3
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• pp.30.1-30.4
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• 2019

Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging.

• Korean Journal of Exercise Nutrition
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• v.17 no.2
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• pp.49-55
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• 2013

Our purpose was to investigate the effect of a 5-week high-fat diet on the body weight, blood components [triglycerides (TGs), free fatty acids (FFAs), and glucose], and lipoprotein lipase (LPL) mRNA expression in the skeletal muscles of rats. Body weight increased overtime in experimental and control groups without significant differences. In terms of the blood components, the density of TG was significantly lower in the high-fat diet group compared to the control, whereas FFA and glucose levels were similar in the two groups. Although the levels of glyceraldehyde 3-phosphate dehydrogenase(GAPDH) mRNA expression were similar between the groups, LPL mRNA expression was significantly higher in the high-fat diet group than that in the control group. The results of this study suggest that a high-fat diet enhances LPL mRNA expression, as well as possibly increases fat metabolism. For a better understanding of the relationship between diet patterns and fat metabolism, further analysis of genes related to the fat metabolism is warranted.

• Journal of Microbiology and Biotechnology
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• v.20 no.3
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• pp.480-484
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• 2010

AfsR2 is a global regulatory protein that stimulates antibiotic biosynthesis in both Streptomyces lividans and S. coelicolor. Previously, various afsR2-dependent genes including a putative abaA-like regulatory gene, SCO4677, were identified through comparative DNA microarray analysis. To further identify the putative SCO4677-dependent proteins, the comparative proteomics-driven approach was applied to the SCO4677-overexpressing strains of S. lividans and S. coelicolor along with the wild-type strains. The 2D gel electrophoresis gave approximately 277 protein spots for S. lividans and 207 protein spots for S. coelicolor, showing different protein expression patterns between the SCO4677-overexpressing strains and the wild-type strains. Further MALDI-TOF analysis revealed that only 18 proteins exhibited similar expression patterns in both S. lividans and S. coelicolor, suggesting that the SCO4677 could encode an abaA-like regulator that controls a few cross-species common proteins as well as many species-specific proteins in Streptomyces species.