• Journal of Plant Biology
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• v.35 no.4
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• pp.415-423
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• 1992

Chlamydomonas reinhardtii 21 gr(mt+) strain의 배우체로부터 두 종류의 DNA methylase를 부분 분리하여 몇가지 기질 DNA에 대한 효소 활성을 측정하였다. DNA methylase I과 II는 동일한 pH와 ionic strength에서 서로 상이한 물리적인 성질과 서로 다른 분자량을 가지며 DNA methylase I과 II는 모두가 DNA 염기 중 adenine보다는 cytosine에 methylation을 수행하는 것으로 생각된다. 합성 DNA를 사용한 실험에서 DNA methylase I과는 달리 DNA methylase II는 poly(dA-dC)·poly(dG-dT)에서 보다 poly(dG-dC)·poly(dG-dC)의 oligonucleotide에서 더 높은 효소활성을 나타내었다. Chlamydomonas reinhardtii에서 추출한 엽록체 DNA를 기질로 사용하였을 때 DNA methylase I과 II 모두가 배우체기 보다는 영양생장기의 엽록체 DNA에 더 높은 활성을 나타내었다.

• Korean Journal of Ecology and Environment
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• v.54 no.3
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• pp.170-189
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• 2021

Environmental DNA (eDNA) is a genetic material derived from organisms in various environments (water, soil, and air). eDNA has many advantages, such as high sensitivity, short investigation time, investigation safety, and accurate species identification. For this reason, it is used in various fields, such as biological monitoring and searching for harmful and endangered organisms. To collect eDNA from a freshwater ecosystem, it is necessary to consider the target organism and gene and a wide variety of items, such as on-site filtration and eDNA preservation methods. In particular, the method of collecting eDNA from the environment is directly related to the eDNA concentration, and when collecting eDNA using an appropriate collection method, accurate (good quality) analysis results can be obtained. In addition, in preserving and extracting eDNA collected from the freshwater ecosystem, when an accurate method is used, the concentration of eDNA distributed in the field can be accurately analyzed. Therefore, for researchers at the initial stage of eDNA research, the eDNA technology poses a difficult barrier to overcome. Thus, basic knowledge of eDNA surveys is necessary. In this study, we introduced sampling of eDNA and transport of sampled eDNA in aquatic ecosystems and extraction methods for eDNA in the laboratory. In addition, we introduced simpler and more efficient eDNA collection tools. On this basis, we hope that the eDNA technique could be more widely used to study aquatic ecosystems and help researchers who are starting to use the eDNA technique.

• KSBB Journal
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• v.17 no.1
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• pp.106-109
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• 2002

Gel electrophoresis of DNA is a well known technique in molecular biology. This technique is simple, rapid to perform, and capable of adequately separating fragments of DNA. A number of mixtures of DNA fragments ("DNA size markers") are frequently employed in a purpose of extrapolating the sizes or the amount of DNA molecules during gel electrophoresis. DNA size markers are constructed by digesting plasmid DNA, bacteriophage DNA, or recombinant DNA molecules with one or more restriction enzymes. However, liquid suspension containing DNA size marker needs to be kept at a low temperature during storage and shipping. In an attempt to maintain the DNA samples at room temperature for extended period of time, lyophilization of DNA with addition of nuclease inhibitor was studied. Gel loading buffer was also added to the lyophilized DNA to provide additional convenience such that DNA size marker was the "ready-to-use" followed by simply reconstituting with distilled water.

• Biomedical Science Letters
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• v.15 no.3
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• pp.229-232
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• 2009

DNA isolation for PCR-based short tandem repeat (STR) analysis is essential to recover high yields of amplifiable DNA from low copy number (LCN) DNA samples. There are different methods developed for DNA extraction from the small bloodstain and gloves, commonly found at crime scenes. In order to obtain STR profiles from LCN DNA samples, DNA extraction protocols, namely the automated $iPrep^{TM}$ $ChargeSwitch^{(R)}$ method, the automated $QIAcube^{TM}$ method, the automated $Maxwell^{(R)}$ 16 DNA $IQ^{TM}$ Resin method, and the manual $QIAamp^{(R)}$ DNA Micro Kit method, were evaluated. Extracted DNA was quantified by the $Quantifiler^{TM}$ Human DNA Quantification Kit and DNA profiled by $AmpFISTR^{(R)}$ $Identifiler^{(R)}$ Kit. Results were compared based on the amount of DNA obtained and the completeness of the STR profiles produced. The automated $iPrep^{TM}$ $ChargeSwitch^{(R)}$ and $QIAcube^{TM}$ methoas produced reproducible DNA of sufficient quantity and quality trom the dried blood spot. This two automated methods showed a quantity and quality comparable to those of the forensic manual standard protocols normally used in our laboratory. In our hands, the automated DNA extraction method is another obvious choice when the forensic case sample available is bloodstain. The findings of this study indicate that the manual simple modified $QIAamp^{(R)}$ DNA Micro Kit method is best method to recover high yields of amplifiable DNA from the numerous potential sources of LCN DNA samples.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.105-111
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• 2004

DNA computing has been using to solve TSP (Traveling Salesman Problems). However, when the typical DNA computing is applied to TSP, it can`t efficiently express vertices and weights of between vertices. In this paper, we proposed ACO (Algorithm for Code Optimization) that applies DNA coding method to DNA computing to efficiently express vertices and weights of between vertices for TSP. We applied ACO to TSP and as a result ACO could express DNA codes which have variable lengths and weights of between vertices more efficiently than Adleman`s DNA computing algorithm could. In addition, compared to Adleman`s DNA computing algorithm, ACO could reduce search time and biological error rate by 50% and could search for a shortest path in a short time.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.222-227
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• 2006

Recently the research for Traveling Salesman Problem (TSP) using DNA computing with massive parallelism has been. However, there were difficulties in real biological experiments because the conventional method didn't reflect the precise characteristics of DNA when it express graph. Therefore, we need DNA sequence generation algorithm which can reflect DNA features and reduce biological experiment error. In this paper we proposed a DNA sequence generation algorithm that applied DNA coding method of evolution model to DNA computing. The algorithm was applied to TSP, and compared with a simple genetic algorithm. As a result, the algorithm could generate good sequences which minimize error and reduce the biologic experiment error rate.

• BMB Reports
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• v.38 no.1
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• pp.97-103
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• 2005

Under the condition of expression of $\lambda$ P protein at lethal level, the oriC DNA-binding activity is significantly affected in wild-type E. coli but not in the rpl mutant. In purified system, the $\lambda$ P protein inhibits the binding of both oriC DNA and ATP to the wild-type DnaA protein but not to the rpl DnaA protein. We conclude that the $\lambda$ P protein inhibits the binding of oriC DNA and ATP to the wild-type DnaA protein, which causes the inhibition of host DNA synthesis initiation that ultimately leads to bacterial death. A possible beneficial effect of this interaction of $\lambda$ P protein with E. coli DNA initiator protein DnaA for phage DNA replication has been proposed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.95-110
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• 2015

Most innovation related theories including entrepreneurship theory regard the CEO's innovative competencies as the starting point of innovation. The study was investigated the relationship between CEO's innovation DNA and Innovation and the effects of environmental fit in their relation. For the empirical test, the sample was collected from 110 manufacturing companies in Daegu and Gyeongbook region. The results as follows: First, Innovation DNA has generally significant positive effect on innovation. The effect of discovery DNA is stronger than operating DNA to the product innovation, but the operating DNA stronger than the discovery DNA to the process innovation. The fit between CEO's innovative DNA and exogenous environmental turbulence make a strength innovation. The supplementary fit between discovery DNA and technology turbulence and complementary fit between discovery DNA and market turbulence reinforce product innovation. Process innovation were strengthen by the complementary fit between operating DNA and market turbulence.

• Environmental Mutagens and Carcinogens
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• v.8 no.1
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• pp.1-12
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• 1988

The effects of aphidicolin (APC), an inhibitor of DNA polymerase alpha, or 2', 3'-dideoxythymidine 5'-triphosphate (ddTTP), an inhibitor of DNA polymerase beta, on the repair of DNA damage induced by ethyl methanesulfonate (EMS) or bleomycin (BLM) were investigated in Chinese hamster ovary (CHO)-K1 cells. Three assays were employed in this study: unscheduled DNA synthesis, alkaline elution and alkaline sucrose gradient sedimentation. It was shown that APC or ddTTP inhibited DNA induced by EMS, and thus, the post-treatment with APC or ddTTP following EMS treatment was resulted in the more amount of unscheduled DNA synthesis, and the more accumulation of DNA single-stand breaks than the cells post-incubated without APC or ddTTP. While, in the BLM induced DNA repair, only ddTTP inhibited DNA repair induced by BLM. And thus, the groups post-incubated with or without APC after BLM treatment had the same value in the amount of unscheduled DNA synthesis and of DNA single-strand breaks, while post-treatment with ddTTP was resulted in the increased amount of unscheduled DNA synthesis and the increased DNA sin -strand breaks than the group without ddTTP. These results suggested that both of DNA polymerase $\alpha$ and $\beta$ participated in the repair of DNA damage induced by EMS, but in BLM-induced DNA repair, polymerase $\beta$ participated.ipated.

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.769-776
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• 2003

DNA computing has used to solve MCP (Maximal Clique Problem). However, when current DNA computing is applied to MCP. it can't efficiently express vertices and edges and it has a problem that can't look for solutions, by misusing wrong restriction enzyme. In this paper we proposed ACO (Algorithm for Code Optimization) that applies DNA coding method to DNA computing to solve MCP's problem. We applied ACO to MCP and as a result ACO could express DNA codes of variable lengths and generate codes without unnecessary vertices than Adleman's DNA computing algorithm could. In addition, compared to Adleman's DNA computing algorithm, ACO could get about four times as many as Adleman's final solutions by reducing search time and biological error rate by 15%.