• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.164-169
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• 2003

In this paper, we propose the integrated Bayesian network framework to reconstruct genetic regulatory networks from genome expression data. The proposed model overcomes the dimensionality problem of multivariate analysis by building coherent sub-networks from confined gene clusters and combining these networks via intermediary points. Gene Shaving algorithm is used to cluster genes that share a common function or co-regulation. Retrieved clusters incorporate prior biological knowledge such as Gene Ontology, pathway, and protein protein interaction information for extracting other related genes. With these extended gene list, system builds genetic sub-networks using Bayesian network with MDL score and Sparse Candidate algorithm. Identifying functional modules of genes is done by not only microarray data itself but also well-proved biological knowledge. This integrated approach can improve there liability of a network in that false relations due to the lack of data can be reduced. Another advantage is the decreased computational complexity by constrained gene sets. To evaluate the proposed system, S. Cerevisiae cell cycle data [1] is applied. The result analysis presents new hypotheses about novel genetic interactions as well as typical relationships known by previous researches [2].

• Asian Pacific Journal of Cancer Prevention
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• 제15권4호
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• pp.1817-1822
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• 2014

Objective: The aim of this study was to screen for possible biomarkers of metastatic osteosarcoma (OS) using a DNA microarray. Methods: We downloaded the gene expression profile GSE49003 from Gene Expression Omnibus database, which included 6 gene chips from metastatic and 6 from non-metastatic OS patients. The R package was used to screen and identify differentially expressed genes (DEGs) between metastatic and non-metastatic OS patients. Then we compared the expression of DEGs in the two groups and sub-grouped into up-regulated and down-regulated, followed by functional enrichment analysis using the DAVID system. Subsequently, we constructed an miRNA-DEG regulatory network with the help of WebGestalt software. Results: A total of 323 DEGs, including 134 up-regulated and 189 down-regulated, were screened out. The up-regulated DEGs were enriched in 14 subcategories and most significantly in cytoskeleton organization, while the down-regulated DEGs were prevalent in 13 subcategories, especially wound healing. In addition, we identified two important miRNAs (miR-202 and miR-9) pivotal for OS metastasis, and their relevant genes, CALD1 and STX1A. Conclusions: MiR-202 and miR-9 are potential key factors affecting the metastasis of OS and CALD1 and STX1A may be possible targets beneficial for the treatment of metastatic OS. However, further experimental studies are needed to confirm our results.

• 생명과학회지
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• 제19권8호
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• pp.1159-1163
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• 2009

ER stress에 관련된 유전자의 기능변화와 전사조절인자 분석하기 위해 ER stress를 유도한 간세포에서 expression microarray로 유전자 발현을 확보한 후 GSECA로 분석하였다. ER stress가 유도되면, ER에 주어지는 과도한 부하를 감소시키는 기능들이 증가하는 반면, ER stress가 더 증가함에 따라 ATP 생성이나 DNA repair, 더 나아가 세포분열의 기능이 감소하는 등 세포가 damage을 받음을 알 수 있었다. ER stress에 관련된 전사조절인자로는 FOX04, AP-1, FOX03, HNF4, IRF-1, GATA 등의 전사조절인자들이 ER stress에 의해 발현이 증가하는 유전자들의 promoter에 공통적으로 존재하였으며, E2F, Nrf-1, Elk-1, YY1, CREB, MTF-1, STAT-1, ATF 등의 전사인자들이 발현이 감소하는 유전자들의 promoter에서 공통적으로 존재하여, 이들의 전사인자들이 ER stress에 의한 유전자의 발현조절에 중요한 역할을 하는 전사조절인자임을 알 수 있었다.

• IMMUNE NETWORK
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• 제11권6호
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• pp.406-411
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• 2011

Background: Invariant Natural killer T (iNKT) cells, a distinct subset of CD1d-restricted T cells with invariant $V{\alpha}{\beta}$ TCR, functionally bridge innate and adaptive immunity. While iNKT cells share features with conventional T cells in some functional aspects, they simultaneously produce large amount of Th1 and Th2 cytokines upon T-cell receptor (TCR) ligation. However, gene expression pattern in two types of cells has not been well characterized. Methods: we performed comparative microarray analyses of gene expression in murine iNKT cells and conventional $CD4^+CD25^-$ ${\gamma}{\delta}TCR^-$ T cells by using Gene Set Enrichment Analysis (GSEA) method. Results: Here, we describe profound differences in gene expression pattern between iNKT cells and conventional $CD4^+CD25^-$ ${\gamma}{\delta}TCR^-$ T cells. Conclusion: Our results provide new insights into the functional competence of iNKT cells and a better understanding of their various roles during immune responses.

• IMMUNE NETWORK
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• 제14권3호
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• pp.123-127
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• 2014

Interleukin-32 (IL-32) is a cytokine inducing crucial inflammatory cytokines such as tumor necrosis factor-${\alpha}(TNF{\alpha})$ and IL-6 and its expression is elevated in various inflammatory autoimmune diseases, certain cancers, as well as viral infections. IL-32 gene was first cloned from activated T cells, however IL-32 expression was also found in other immune cells and non-immune cells. IL-32 gene was identified in most mammals except rodents. It is transcribed as multiple-spliced variants in the absence of a specific activity of each isoform. IL-32 has been studied mostly in clinical fields such as infection, autoimmune, cancer, vascular disease, and pulmonary diseases. It is difficult to investigate the precise role of IL-32 in vivo due to the absence of IL-32 gene in mouse. The lack of mouse IL-32 gene restricts in vivo studies and restrains further development of IL-32 research in clinical applications although IL-32 new cytokine getting a spotlight as an immune regulatory molecule processing important roles in autoimmune, infection, and cancer. In this review, we discuss the regulation and function of IL-32 in inflammatory bowel diseases and rheumatoid arthritis.

• 원예과학기술지
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• 제32권6호
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• pp.845-852
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• 2014

다양한 비생물적 스트레스 중 토양 염 집적은 식물의 광합성 효율, 생장 및 수확량의 감소를 초래한다. 최근 염 저항성 향상을 위한 많은 유전자들이 보고되고 있다. 본 연구의 목적은 형질전환 배추를 이용하여 아직 기능이 밝혀져 있지 않지만 완전장이 보고된 Brassica rapa Salt Stress Resistance(BrSSR) 유전자의 기능을 검정하는 것이다. BrSSR의 생리적 역할을 분석하기 위해, BrSSR의 과발현 vector인 pSL94 vector를 이용하여 내혼계 배추('CT001')를 형질전환하였다. Quantitative real-time RT-PCR 분석에서 형질전환체의 BrSSR 발현량은 대조군 대비 2.59배까지 증가하였다. 한편, 염 처리 후 표현형 분석에서 BrSSR이 과발현된 형질전환체들이 정상적인 생장을 보여줌으로써 염 스트레스에 내성을 가지는 것을 확인할 수 있었다. Microarray 분석을 통해 구축된 염 스트레스 저항성 관련 유전자들의 발현 네트워크 상에서 BrSSR은 기존에 염 저항성 관련 유전자로 보고되어 있는 ERD15(AT2G41430), protein containing PAM2(AT4G14270), GABA-T(AT3G22200)와 매우 밀접하게 연결되어 있는 것으로 분석되었다. 위 결과들을 바탕으로 BrSSR은 염 스트레스 발생 시 식물의 생장 및 저항성에 관련된 중요한 역할을 하는 것으로 판단된다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.427-430
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• 2005

Studies on cellular pathways and networks are now one of the most actively researched topics in all fields of biomedicine ranging from developmental biology to etiology. Many databases have been developed and quantitative simulation models have been proposed. One of the eventual goals of pathway/network studies is to integrate different types of pathway/network models and databases to simulate overall cellular responses. A bottleneck to this goal is modeling gene expression since the mechanism of this process is not yet fully unveiled. We are developing a small scale computer program called CiRMU (Cis-Regulatory Machinery Unit model) for describing, viewing, analyzing, and modeling the process of gene expression. A prototype system is being designed and implemented for analyzing functions of nuclear receptors.

• Nuclear Engineering and Technology
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• 제48권6호
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• pp.1315-1320
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• 2016

The present study aims to predict the heat transfer characteristics around a square cylinder with different corner radii using multivariate adaptive regression splines (MARS). Further, the MARS-generated objective function is optimized by particle swarm optimization. The data for the prediction are taken from the recently published article by the present authors [P. Dey, A. Sarkar, A.K. Das, Development of GEP and ANN model to predict the unsteady forced convection over a cylinder, Neural Comput. Appl. (2015) 1-13]. Further, the MARS model is compared with artificial neural network and gene expression programming. It has been found that the MARS model is very efficient in predicting the heat transfer characteristics. It has also been found that MARS is more efficient than artificial neural network and gene expression programming in predicting the forced convection data, and also particle swarm optimization can efficiently optimize the heat transfer rate.

• Journal of Microbiology and Biotechnology
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• 제32권3호
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• pp.387-395
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• 2022

Deciphering the metabolites of human diseases is an important objective of biomedical research. Here, we aimed to capture the core metabolites of Fanconi anemia (FA) using the bioinformatics method of a multi-omics composite network. Based on the assumption that metabolite levels can directly mirror the physiological state of the human body, we used a multi-omics composite network that integrates six types of interactions in humans (gene-gene, disease phenotype-phenotype, disease-related metabolite-metabolite, gene-phenotype, gene-metabolite, and metabolite-phenotype) to procure the core metabolites of FA. This method is applicable in predicting and prioritizing disease candidate metabolites and is effective in a network without known disease metabolites. In this report, we first singled out the differentially expressed genes upon different groups that were related with FA and then constructed the multi-omics composite network of FA by integrating the aforementioned six networks. Ultimately, we utilized random walk with restart (RWR) to screen the prioritized candidate metabolites of FA, and meanwhile the co-expression gene network of FA was also obtained. As a result, the top 5 metabolites of FA were tenormin (TN), guanosine 5'-triphosphate, guanosine 5'-diphosphate, triphosadenine (DCF) and adenosine 5'-diphosphate, all of which were reported to have a direct or indirect relationship with FA. Furthermore, the top 5 co-expressed genes were CASP3, BCL2, HSPD1, RAF1 and MMP9. By prioritizing the metabolites, the multi-omics composite network may provide us with additional indicators closely linked to FA.

• 미생물학회지
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• 제30권5호
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• pp.347-354
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• 1992

New regulatory, loci which participate in the regulation of anaerobic inducible gene expression in Salmonella typhimurium were identified. We observed the regulatory network of new regulator mutations to various anaerobic inducible gene (1). Some anaerobic inducible lac fusions were also induced at low pH condition which was severe environment to withstand for its virulence at the place like phagolysosome. Sic oxygen-regulated regulatory mutants (oxr) isolated by Tn10 mutagenesis were divided into two groups. Five of them were found to show negative effect on the regulation of anaerobic gene expression, while on e showed positive effect on the regulation. Genetic loci of four oxr were identified with 54 Mud-P22 lysogens covering the whole chromosome of S. typhimurium, in the nearby region of map unit 87 min (oxr101), 63 min (oxr104), 97 min (oxr 105), and 57 min (oxr 106), respectively. Two oxr mutants were subjected to two-dimensional polyacrylamide electrophoretic analysis of anaerobic inducible proteins for searching the control circuitry of our oxr mutants.