• Title/Summary/Keyword: regulatory network

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Genetic Regulation of Cellular Responses and Signal Targeting Pathways Invoked by an Environmental Stress (환경 스트레스에 의한 세포 내 신호의 이동 경로와 유전적 조절)

  • Kim, Il-Sup;Kim, Hyun-Young;Kang, Hong-Gyu;Yoon, Ho-Sung
    • Korean Journal of Environmental Biology
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    • v.26 no.4
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    • pp.377-384
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    • 2008
  • A cell is the product of a long period of evolution and can be represented as an optimized system (homeostasis). Stimuli from the outside environment are received by sensory apparatus on the surface of the cell and transferred through complicated pathways and eventually regulate gene expression. These signals affect cell physiology, growth, and development, and the interaction among genes in the signal transduction pathway is a critical part of the regulation. In this study, the interactions of deletion mutants and overexpression of the extracopies of the genes were used to understand their relationships to each other. Also, green fluorescent protein (GFP reporter gene) was fused to the regulatory genes to elucidate their interactions. Cooverexpression of the two genes in extracopy plasmids suggested that patS acts at the downstream of hetR in the regulatory network. The experiments using gfp fusion in different genetic background cells also indicated the epistasis relationships between the two genes. A model describing the regulatory network that controls cell development is presented.

An integrated Bayesian network framework for reconstructing representative genetic regulatory networks.

  • Lee, Phil-Hyoun;Lee, Do-Heon;Lee, Kwang-Hyung
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2003.10a
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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].

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Network security and legal protection of the Criminal (네트워크보안의 형사법적 보호)

  • Kim, Hyung-Man
    • Journal of Digital Convergence
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    • v.9 no.3
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    • pp.11-19
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    • 2011
  • The spread of computer and network gets various social and economic activities done quickly and efficiently. As a result, it makes a crime using network easy and increases the vulnerability of a social system. As there is a crime as a social being, we need to give careful consideration to the crime occurring in virtual space. Accordingly, the purpose of this paper is to investigate the regulatory need of the Criminal Procedure concerning the network security issues as the new legal and regulatory space that begins to be realized from the late of 20th century because of the extent of social threat. Above all, we addresses whether the amendment of existing legal regulations is necessary, based on the special characteristics of the virtual space.

In vivo action of RNA G-quadruplex in phloem development

  • Cho, Hyunwoo;Cho, Hyun Seob;Hwang, Ildoo
    • BMB Reports
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    • v.51 no.11
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    • pp.547-548
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    • 2018
  • Phloem network integrates cellular energy status into post-embryonic growth, and development by tight regulation of carbon allocation. Phloem development involves complicated coordination of cell fate determination, cell division, and terminal differentiation into sieve elements (SEs), functional conduit. All of these processes must be tightly coordinated, for optimization of systemic connection between source supplies and sink demands throughout plant life cycle, that has substantial impact on crop productivity. Despite its pivotal role, surprisingly, regulatory mechanisms underlying phloem development have just begun to be explored, and we recently identified a novel translational regulatory network involving RNA G-quadruplex and a zinc-finger protein, JULGI, for phloem development. From this perspective, we further discuss the role of RNA G-quadruplex on post-transcriptional control of phloem regulators, as a potential interface integrating spatial information for asymmetric cell division, and phloem development.

A System for Describing Cis-Regulatory Machinery Unit

  • Kaminuma, Tsuguchika;Takai-Igarashi, Takako;Yukawa, Masumi;Tanaka, Yoshitomo;Tanaka, Hiroshi
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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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.

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Evolutionary Algorithm to Construct Regulatory Genetic Network (유전자 조절 네트웍 구축을 위한 진화알고리즘 기법)

  • 정제균;오석준;남진우;장병탁
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.431-433
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    • 2003
  • 유전자 네트웍 구축은 다양한 생물학적 실험 결과를 통하여 유전자간의 관계를 모델링하는 작업이다. 현재 유전자 섭동(perturbation) 실험은 대규모 유전자 조절 네트웍(regulatory genetic network) 구축을 위한 중요한 데이터로 인식되고 있다. 하지만 유전자 섭동 실험에 의한 결과는 하나의 유전자가 다른 유전자에 대하여 직접적 또는 간접적인 영향을 주는 지에 대한 정보를 파악하기 어렵다. 본 논문은 이러한 문제점을 해결하기 위하여 섭동 실험에 의한 결과로부터 생성된 복잡한 유전자 관계를 실제 생물마적 네트웍 형태로 단순화시키는 진화알고리즘을 제안하고자 한다. 실험은 진화 알고리즘이 임의의 복잡한 네트웍에 대하여 다양한 후보 네트웍 해를 제시해 줄 수 있는 결과를 보여 주고 있다.

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Informational and Methodological Approach to Ensuring the Economic Security of the State in the Banking Sphere

  • Shemayeva, Luidmila;Hladkykh, Dmytro;Mihus, Iryna;Onofriichuk, Andrii;Onofriichuk, Vitalii
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.477-482
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    • 2021
  • The existing approaches to ensuring the banking security of the state do not take into account the peculiarities of the banking system in the rapid development of the information economy (increasing uncertainty, imbalance and nonlinearity of processes in the banking system under the influence of innovation, institutions, information asymmetry, etc.). A methodological approach to determining the synergetic effect in the implementation of the regulatory influence of the state on the development of innovation processes related to informatization in the banking system, based on the use of differential equations and modelling the sensitivity of innovation processes related to informatization in the banking system, to the regulatory influence of the state to prevent the deployment of risks and threats to economic security of the state in this area has been suggested in the present article.

Barriers Impeding Domestic Pharmaceutical Industry's Exportation to Developed Countries (의약품 해외 수출을 위한 한국 제약산업의 해결과제)

  • Yun, Sujin;Min, Jihye;Cho, Eun
    • Korean Journal of Clinical Pharmacy
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    • v.23 no.2
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    • pp.106-113
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    • 2013
  • Background: For Korean pharmaceutical industry to continue to grow, it is requisite to enter the global markets of developed countries. However, the export volume has fallen short of 10% of the gross sales and the industry has only recently warming up to prepare the globalization along with suchlike the Columbus Project. Purpose: This research was conducted to identify the difficulties Korean pharmaceutical companies perceived and to discover the gap in the needs for the government aid the companies have been seeking in the purpose of entering the developed pharmaceutical markets. Method: A survey method was used for this research. Six experts were surveyed and provided comments for the pre-questionnaire. Then, a final questionnaire was developed consisting of 10 items on regulatory-related and another 10 items on non-regulatory-related factors in drug exportation using the Likert scale (1 to 5). The survey sample was 30 Korean companies which have participated in the Columbus Project since 2010. Results: Nineteen (63%) companies responded to the survey. Most companies perceived difficulty (mean = 4.19) over the entire pathway of the regulatory process of global markets. Clinical trials and post-marketing surveillance were remarked as the most difficult barrier to follow the regulatory globalization. Among non-regulatory related factors, marketing, arranging a distribution network, obtaining experts, and projecting a timeline in exportation were brought up as the most difficulty. Conclusion: Especially, cost and language barrier were considered as the main cause producing these difficulties across regulatory and non-regulatory processes and accordingly, securing both long term budget and experts at governmental level was suggested by the domestic pharmaceutical companies.

Economic Effect of Regulation in Logistics/Transport Industry (물류운송산업 규제의 경제적 효과)

  • KIM, Jungwook;WI, Suhyeon
    • Journal of Korean Society of Transportation
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    • v.35 no.3
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    • pp.169-182
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    • 2017
  • This research reviews regulations on logistics/transport industry and attempts to quantify the effects of regulation mitigation on GDP per capita. South Korea's transport industry has been gradually expanding, however, the industrial structure is still short rooted. In 2014, average number of hours worked is 5th highest and wage margin 12th smallest out of 18 industries. Furthermore, the regulations for this industry appear to be stricter than those of other industries. OECD's logistics/transport industry regulatory index for South Korea has been decreasing for the last 40 years but still exceeds those of EU, Japan, US, and other countries. This paper provides supporting reasons for regulatory reforms by analyzing the ripple effects on real GDP. Factors such as the ratio of trade among GDP, the enrollment rate to primary school, energy usage per capita, and population are controlled in the fixed-effect model. Estimation results showed that 1 unit decrease in transport/logistics regulatory index is correlated with 8.1% increase of the real GDP per capita, that is, 10% of deregulation is expected to yield 2.16% increase in GDP per capita. Thus, it is expected that mitigating regulations on market entries, price determination, ownership structures of network industry, vertical integrations can improve the economy of South Korea.

Regulatory T Cell Therapy for Autoimmune Disease

  • Ha, Tai-You
    • IMMUNE NETWORK
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    • v.8 no.4
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    • pp.107-123
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    • 2008
  • It has now been well documented in a variety of models that T regulatory T cells (Treg cells) play a pivotal role in the maintenance of self-tolerance, T cell homeostasis, tumor, allergy, autoimmunity, allograft transplantation and control of microbial infection. Recently, Treg cell are isolated and can be expanded in vitro and in vivo, and their role is the subject of intensive investigation, particularly on the possible Treg cell therapy for various immune-mediated diseases. A growing body of evidence has demonstrated that Treg cells can prevent or even cure a wide range of diseases, including tumor, allergic and autoimmune diseases, transplant rejection, graft-versus-host disease. Currently, a large body of data in the literature has been emerging and provided evidence that clear understanding of Treg cell work will present definite opportunities for successful Treg cell immunotherapy for the treatment of a broad spectrum of diseases. In this Review, I briefly discuss the biology of Treg cells, and summarize efforts to exploit Treg cell therapy for autoimmune diseases. This article also explores recent observations on pharmaceutical agents that abrogate or enhance the function of Treg cells for manipulation of Treg cells for therapeutic purpose.