• Asian-Australasian Journal of Animal Sciences
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• 제23권7호
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• pp.855-862
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• 2010

Among the known interferon-induced antiviral mechanisms, the Mx pathway is one of the most powerful pathways. The Mx protein has direct antiviral activity and inhibits a wide range of viruses by blocking an early stage of the viral replication cycle. Cloning, characterization, and expression of Mx in vivo and in vitro have been conducted. The chicken Mx gene spans 21 kb and is made up of 14 exons and 13 introns, of which the promoter region was analyzed. The real-time PCR results showed that Mx expression was increased in chicken embryo fibroblasts (CEF) after 12- and 24-h induction with polyI: C. Induction of Mx expression by poly I: C in vivo revealed tissue-specific patterns among the chicken tissues tested. A trace expression of Mx was detected in healthy chicken liver tissues from adult chickens without inducement; the expression levels in the liver, heart, and gizzard were higher than in the muscle and kidney. This is the first report to demonstrate the expression of a glutathione-S-transferase-tagged-Mx fusion protein of 75 KDa, as well as the biological activity tested by SDS-PAGE and western blotting.

• 식물병연구
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• 제21권4호
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• pp.346-350
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• 2015

국내에서 재배되는 사과 '홍로'에 발생하는 Apple scar skin viroid병의 유전자 계통분석을 하기 위하여 바이로이드 증상이 나타나는 8개 지역(봉화, 청송, 당진, 김천, 무주, 문경, 수원, 영월)의 농가에서 수집한 시료를 RT-PCR 방법을 이용하여 바이로이드 검정을 실시하였다. 검출된 바이로이드의 클로닝과 유전자 염기서열 분석을 통해 8종의 분리주들을 확인하였고 한국, 인도, 중국, 일본 및 그리스에서 보고된 21종의 분리주와 염기서열을 비교하였다. 8개의 분리주들의 핵산 서열은 기존에 보고된 분리주들과 92.2-99.7%의 상동성을 나타냈다. 계통분석을 통해 본 연구에서 보고한 7종의 분리주들은 기존의 것들과 독립된 그룹에 속하는 것으로 나타났다.

• IMMUNE NETWORK
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• 제2권4호
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• pp.233-241
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• 2002

Background: Monoclonal antibodies (mAb) of rodent origin are produced with ease by hybridoma fusion technique, and have been successfully used as therapeutic reagents for humans after humanization by genetic engineering. However, utilization of these antibodies for therapeutic purpose has been limited by the fact that they act as immunogens in human body causing undesired side effects. So far, there have been several attempts to produce human mAbs for effective in vivo diagnostic or therapeutic reagents including the use of humanized xenomouse that is generated by mating knockout mice which lost Ig heavy and light chain genes by homologous recombination and transgenic mice having both human Ig heavy and light gene loci in their genome. Methods: Genomic DNA fragments of mouse Ig heavy and light chain were obtained from a mouse brain ${\lambda}$ genomic library by PCR screening and cloned into a targeting vector with ultimate goal of generating Ig knockout mouse. Results: Through PCR screening of the genomic library, three heavy chain and three light chain Ig gene fragments were identified, and restriction map of one of the heavy chain gene fragments was determined. Then heavy chain Ig gene fragments were subcloned into a targeting vector. The resulting construct was introduced into embryonic stem cells. Antibiotic selection of transfected cells is under the progress. Conclusion: Generation of xenomouse is particularly important in medical biotechnology. However, this goal is not easily achieved due to the technical difficulties as well as huge financial expenses. Although we are in the early stage of a long-term project, our results, at least, partially contribute the successful generation of humanized xenomouse in Korea.

• 한국융합학회논문지
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• 제9권7호
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• pp.1-7
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• 2018

데이터 전처리 기법 중 하나인 특징 선택은 대규모 데이터셋을 다루는 다양한 응용분야에서 주요 연구 분야 중 하나로 각광받고 있다. 특징 선택은 패턴 인식, 기계학습 및 데이터 마이닝에서 사용됐고, 최근에는 텍스트 분류, 이미지 검색, 침입 탐지 및 게놈 분석과 같은 다양한 분야에 널리 적용되고 있다. 제안 방법은 메타 휴리스틱 알고리즘 중의 하나인 유전 알고리즘을 기반으로 한다. 특징 부분 집합을 찾는 방법은 크게 필터(filter) 방법과 래퍼(wrapper) 방법이 있는데, 본 연구에서는 최적의 특징 부분 집합을 찾기 위해 실제 분류기를 사용한 평가를 하는 래퍼 방법을 사용한다. 실험에 사용한 훈련 데이터셋은 클래스 불균형이 심하여 희소클래스에 대한 분류 성능을 높이기 어렵다. SMOTE 기법을 적용한 훈련 데이터셋을 사용하여 특징 선택을 하고 다양한 기계학습 알고리즘을 사용하여 선택한 특징들의 성능을 평가한다.

• Journal of Microbiology and Biotechnology
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• 제23권12호
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• pp.1708-1716
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• 2013

Conventional molecular detection methods cannot distinguish between viable and dead Escherichia coli O157 cells. In this study, the loop-mediated isothermal amplification (LAMP) method combined with propidium monoazide (PMA) treatment was developed to selectively detect viable E. coli O157 cells. Four primers, including outer primers and inner primers, were specially designed for the recognition of six distinct sequences on the serogroups (O157) of the specific rfbE gene of the E. coli O157 genome. PMA selectively penetrated through the compromised cell membranes and intercalated into DNA. Amplification of DNA from dead cells was completely inhibited by $3.0{\mu}g/ml$ PMA, whereas the DNA derived from viable cells was amplified remarkably within 1 h by PMA-LAMP. Exhibiting high sensitivity and specificity, PMA-LAMP is a suitable method for evaluating the inactivation efficacy of slightly acidic electrolyzed water in broth. PMA-LAMP can selectively detect viable E. coli O157 cells. This study offers a novel molecular detection method to distinguish between viable and dead E. coli O157 cells.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.438-441
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• 2007

Recently, due to molecular biology and engineering technology, DNA microarray makes people watch thousands of genes and the state of variation from the tissue samples of living body. With DNA Microarray, it is possible to construct a genetic group that has similar expression patterns and grasp the progress and variation of gene. This paper practices Cluster Analysis which purposes the discovery of biological subgroup or class by using gene expression information. Hence, the purpose of this paper is to predict a new class which is unknown, open leukaemia data are used for the experiment, and MCL (Markov CLustering) algorithm is applied as an analysis method. The MCL algorithm is based on probability and graph flow theory. MCL simulates random walks on a graph using Markov matrices to determine the transition probabilities among nodes of the graph. If you look at closely to the method, first, MCL algorithm should be applied after getting the distance by using Euclidean distance, then inflation and diagonal factors which are tuning modulus should be tuned, and finally the threshold using the average of each column should be gotten to distinguish one class from another class. Our method has improved the accuracy through using the threshold, namely the average of each column. Our experimental result shows about 70% of accuracy in average compared to the class that is known before. Also, for the comparison evaluation to other algorithm, the proposed method compared to and analyzed SOM (Self-Organizing Map) clustering algorithm which is divided into neural network and hierarchical clustering. The method shows the better result when compared to hierarchical clustering. In further study, it should be studied whether there will be a similar result when the parameter of inflation gotten from our experiment is applied to other gene expression data. We are also trying to make a systematic method to improve the accuracy by regulating the factors mentioned above.

• Journal of Plant Biotechnology
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• 제43권3호
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• pp.367-375
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• 2016

국내에서 육성된 옥수수 90 품종 및 자식 계통에 대하여 microsatellite 마커를 활용하여 DNA 프로파일 데이터베이스를 구축한 다음 공시품종에 따른 유전적 유사도 분석 및 품종식별력 검정에 대한 연구를 수행하였다. 옥수수 90품종을 100개의 microsatellite 마커로 검정하고 대립유전자의 패턴이 우수하고 다형성 정도가 높은 13개를 선정하여 분석하였을 때 대립유전자의 수는 5 ~ 24개까지 다양하게 분포하였고 평균 대립유전자의 수는 13.69개로 높았다. PIC 값의 경우도 0.716 ~ 0.942 범위에 속하였고 평균값은 0.865로 아주 높았다. 옥수수 90품종 및 계통에 대하여 UPGMA 분석에 의한 계통도를 작성하였을 때, 옥수수의 품종 유형 및 품종 육성 계보에 따라 5개의 대그룹으로 나누어졌다. 본 연구에서 구축됨 옥수수 자식계통 및 품종별 microsatellite DNA 프로파일 데이터베이스는 신품종과 기 육성된 품종과 유전적 유사도 분석이 가능하기 때문에 품종보호출원시 대조품종 선정 및 품종진위성과 관련된 종자분쟁에 매우 유용하게 활용될 수 있을 것이다.

• 한국초지조사료학회지
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• 제27권4호
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• pp.241-248
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• 2007

Cytokinin은 식물의 성장과 발달에 중요한 역할을 하는 필수 호르몬이다. mRNA differential display 방법으로 애기장대 amp1 돌연변이체로부터 cytokinin에 의하여 발현이 유도되는 PR4 유전자를 분리하였다. AtPR4로 명명한 애기장대 PR4 유전자는 212개의 아미노산으로 구성되어 있었으며 분자량은 22,900이고 등전점은 7.89로 추정되었다. Genomic DNA 분석결과, AtPR4는 single copy 유전자인 것으로 나타났다. AtPR4의 mRNA는 cytokinin과 NaCl에 의해서는 발현이 유도되었지만 SA와 JA에 의해서는 발현이 억제되었다. PR 단백질은 내병성 등 생체방어기작에 관여하는 것으로 알려져 있다. 따라서 본 연구에서 분리한 애기장대 PR4 유전자는 내병성 목초 품종의 개발에 유용하게 사용될 것으로 사료된다.

• Molecules and Cells
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• 제37권9호
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• pp.672-684
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• 2014

The exact causes of cell death in Parkinson's disease (PD) remain unknown despite extensive studies on PD.The identification of signaling and metabolic pathways involved in PD might provide insight into the molecular mechanisms underlying PD. The neurotoxin 1-methyl-4-phenylpyridinium ($MPP^+$) induces cellular changes characteristic of PD, and $MPP^+$-based models have been extensively used for PD studies. In this study, pathways that were significantly perturbed in $MPP^+$-treated human neuroblastoma SH-EP cells were identified from genome-wide gene expression data for five time points (1.5, 3, 9, 12, and 24 h) after treatment. The mitogen-activated protein kinase (MAPK) signaling pathway and endoplasmic reticulum (ER) protein processing pathway showed significant perturbation at all time points. Perturbation of each of these pathways resulted in the common outcome of upregulation of DNA-damage-inducible transcript 3 (DDIT3). Genes involved in ER protein processing pathway included ubiquitin ligase complex genes and ER-associated degradation (ERAD)-related genes. Additionally, overexpression of DDIT3 might induce oxidative stress via glutathione depletion as a result of overexpression of CHAC1. This study suggests that upregulation of DDIT3 caused by perturbation of the MAPK signaling pathway and ER protein processing pathway might play a key role in $MPP^+$-induced neuronal cell death. Moreover, the toxicity signal of $MPP^+$ resulting from mitochondrial dysfunction through inhibition of complex I of the electron transport chain might feed back to the mitochondria via ER stress. This positive feedback could contribute to amplification of the death signal induced by $MPP^+$.

• Genomics & Informatics
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• 제17권3호
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• pp.28.1-28.9
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• 2019

Bar-code (tag) microarrays of yeast gene-deletion collections facilitate the systematic identification of genes required for growth in any condition of interest. Anti-sense strands of amplified bar-codes hybridize with ~10,000 (5,000 each for up-and down-tags) different kinds of sense-strand probes on an array. In this study, we optimized the hybridization processes of an array for fission yeast. Compared to the first version of the array (11 ㎛, 100K) consisting of three sectors with probe pairs (perfect match and mismatch), the second version (11 ㎛, 48K) could represent ~10,000 up-/ down-tags in quadruplicate along with 1,508 negative controls in quadruplicate and a single set of 1,000 unique negative controls at random dispersed positions without mismatch pairs. For PCR, the optimal annealing temperature (maximizing yield and minimizing extra bands) was 58℃ for both tags. Intriguingly, up-tags required 3× higher amounts of blocking oligonucleotides than down-tags. A 1:1 mix ratio between up- and down-tags was satisfactory. A lower temperature (25℃) was optimal for cultivation instead of a normal temperature (30℃) because of extra temperature-sensitive mutants in a subset of the deletion library. Activation of frozen pooled cells for >1 day showed better resolution of intensity than no activation. A tag intensity analysis showed that tag(s) of 4,316 of the 4,526 strains tested were represented at least once; 3,706 strains were represented by both tags, 4,072 strains by up-tags only, and 3,950 strains by down-tags only. The results indicate that this microarray will be a powerful analytical platform for elucidating currently unknown gene functions.