• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.341-342
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• 2011

선행연구에서 우리는 암과 관련된 단백질-단백질 상호작용 네트워크와 단백질-질병 네트워크를 통해서 핵심 단백질 60개를 추출했다. 이 단백질들을 조절하여 암을 제어하기 위한 방법으로 miRNA(microRNA)를 이용하기위해 단백질과 상호작용하는 miRNA와 miRNA 서열정보를 추출하였다. 한 단백질과 상호작용하는 miRNA의 수가 많았기 때문에 각각의 miRNA에 대해 우선순위를 주어서 가중치를 부여했는데, 기준으로는 miRNA 서열길이, 수소결합 수 등으로 잡아주었다. 이 방법을 사용함으로써 밝혀지지 않은 단백질과 miRNA의 상호작용 서열을 찾는데 이용가능 할 것이다.

• Journal of KIISE:Software and Applications
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• v.35 no.6
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• pp.347-356
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• 2008

High-throughput microarray is one of the most popular tools in molecular biology, and various computational methods have been developed for the microarray data analysis. While the computational methods easily extract significant features, it suffers from inferring modules of multiple co-regulated genes. Hypernetworhs are motivated by biological networks, which handle all elements based on their combinatorial processes. Hence, the hypernetworks can naturally analyze the biological effects of gene combinations. In this paper, we introduce a hypernetwork classifier for microRNA (miRNA) profile analysis based on microarray data. The hypernetwork classifier uses miRNA pairs as elements, and an evolutionary learning is performed to model the microarray profiles. miTNA modules are easily extracted from the hypernetworks, and users can directly evaluate if the miRNA modules are significant. For experimental results, the hypernetwork classifier showed 91.46% accuracy for miRNA expression profiles on multiple human canters, which outperformed other machine learning methods. The hypernetwork-based analysis showed that our approach could find biologically significant miRNA modules.

• Journal of Ginseng Research
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• v.1 no.1
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• pp.19-24
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• 1976

Ginseng extracts were frnctionelod into several fractions with carious organic solvents, and the effects of these fractions on the activity of aminoacyl-tRHA synthetase was examined. Fractions which showed positive effect on the activity of the aminoacyl-tRNA synthetase were obtained both from white ginseng and red ginseng. The total methanol extract of whit ginseng and the ether extract from the total methanol extract of red ginseng gave Positive results. Therefore it may be Presumed that the Positive components have rather nonpolar nature.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.25-30
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• 2018

It is extremely lacking and urgently required that the method of constructing the Gene Regulatory Network (GRN) from RNA-Sequencing data (RNA-Seq) because of Big-Data and GRN in Big-Data has obtained substantial observation as the interactions among relevant featured genes and their regulations. We propose newly the computational comparative feature patterns selection method by implementing a minimum-redundancy maximum-relevancy (MRMR) filter the support vector machine-recursive feature elimination (SVM-RFE) with Intensity-dependent normalization (DEGSEQ) as a preprocessor for emphasizing equal preciseness in RNA-seq in Big-Data. We found out the proposed algorithm might be more scalable and convenient because of all libraries in R package and be more improved in terms of the time consuming in Big-Data and minimum-redundancy maximum-relevancy of a set of feature patterns at the same time.

• Journal of Sericultural and Entomological Science
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• v.51 no.2
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• pp.99-106
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• 2013

The purpose of this study is to investigate the effects of supplementation of mulberry powder, mulberry extract and silkworm powder during the 8 weeks of resistance exercise on Androgen receptor(AR) mRNA and Myogenic regulatory factors(MRFs) expression of rats muscle. Fifty males, Sprague-Dawley rat, were randomly divided into 5 groups: CON(control group, n = 10), REG(resistance exercise group, n = 10), MP REG(mulberry powder intake and resistance exercise group, n = 10), ME REG(mulberry extract intake and resistance exercise group, n = 10) and SP REG(silkworm powder intake and resistance exercise group, n = 10). After climbing the ladder without weights during the 1 week of adaptation period, the rats in the resistance exercise group were trained to climb a 0.98-m vertical(80 degree incline) ladder with weights in their tail during 7 weeks(10 times each day, 2 days per week). After exercise, the skeletal muscle was extracted from the flexor hallucis longus. After separating the total ribonucleic acid (RNA) of each group, quantitative polymerase chain reaction was used to analyze RNA quantitatively. AR mRNA and MRFs expression revealed that all of the treated groups had significantly difference. AR mRNA expression increased in ME REG $6.24{\pm}1.85$ and SP REG $9.68{\pm}0.28$ fold compared to CON. Myod mRNA expression increased in MP REG $6.04{\pm}0.47$, ME REG $4.31{\pm}1.58$ and SP REG $8.11{\pm}0.57$ fold compared to CON. And myogenin mRNA expression increased in MP REG $4.11{\pm}0.42$, ME REG $4.12{\pm}0.45$ and SP REG $6.50{\pm}0.61$ fold compared to CON. In conclusion, during the resistance exercise, providing mulberry and silkworm gives positive effect on AR mRNA and MRFs expression increase.

• Journal of Life Science
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• v.16 no.2 s.75
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• pp.240-244
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• 2006

We present a fast and simple protocol for purification of mitochondria, mitochondrial DNA, and RNA from small amounts of tomato leaves. This method uses a high ionic strength medium to isolate mitochondria and extract mitochondrial DNA and RNA from a single preparation and is easily adaptable to other plant species. Mitochondria was confirmed by MitoTracker. The mitochondrial DNA was not contaminated by plastid DNA, was successfully used for PCR. Similarly, the isolated mitochondrial RNA was not contaminated only slightly contaminated (leaves) by plastid RNA. RNA prepared according to our method was acceptable for RT-PCR analysis

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.37-40
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• 2011

선택 스플라이싱 (alternative splicing)은 mRNA (messenger RNA)의 전구체인 pre-mRNA가 mRNA로 전사될 때 pre-mRNA의 엑손 영역들 (exons)이 여러 가지 유형 (pattern)으로 다시 연결되는 과정을 말한다. 선택 스플라이싱에 의해 하나의 유전자로부터 서로 다른 mRNA가 만들어 지고 서로 다른 이소형의 단백질 (protein isoforms)이 생성된다. 현재까지 알려진 선택 스플라이싱의 유형은 약 7가지 종류가 있으며, 유전자의 돌연변이 및 질병과 밀접한 연관성을 가지고 있는 것으로 알려져 있다. 본 연구에서는 차세대 시퀀싱 (Next Generation Sequencing : NGS) 기술로 생성된 RNA-Seq 데이터로부터 각 유전자 영역에 대한 선택 스플라이싱 유형을 분류/추출하는 새로운 알고리즘을 제안한다. 제안된 알고리즘에서는 RNA-Seq 데이터를 DNA 시퀀스와 mRNA 트랜스크립트 시퀀스에 동시 매핑하고, 각 엑손 영역에 정렬된 RNA-Seq 데이터의 커버리지 정보 및 엑손의 접합 (junction) 정보를 이용하여 발현된 트랜스크립트 (transcript)의 종류와 양을 측정한다. 알고리즘의 유효성을 보이기 위하여 시뮬레이션 데이터를 이용한 인간 유전자 영역에서의 선택 스플라이싱 유형 추출 실험을 수행하였으며, 검증된 선택 스플라이싱 DB와 비교, 검증하였다.

• Korean Journal of Food Science and Technology
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• v.36 no.6
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• pp.986-990
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• 2004

The immunomodulatory effect of Codonopsis lanceolata based on the production of cytokines and the activation of macrophage was studied. The mRNA expression of nitric oxide synthase (iNOS) was gradually induced after 24 hr treatment of Codonopsis lanceolata, and NO production was a maximum after 24 hr treatment with 1 mg/mL. RAW 264.7 cell on in vitro treatment with Codonopsis lanceolata induced mRNA of cytokines such as interleukin-1(IL-1)${\beta}$, interleukin-6(IL-6), tumor necrosis $factor(TNF)-{\alpha}\;and\;interferon(IFN)-{\gamma}$; $IL-1{\beta}$ and IL-6 mRNA were gradually induced up to 24 hr, $TNF-{\alpha}\;mRNA$ was regularly induced up to 24 hr, and $IFN-{\gamma}\;mRNA$ level was a maximum within 1 hr. These results suggest that Codonopsis lanceolata exerts as an effective immunomodulator and enhances antitumor activity of macrophages.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.775-777
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• 2003

miRNA(microRNA)는 길이가 약 22nt 정도 되는 작은 ncRNA로서 유전자 작용을 조절하는데 중요한 역할을 하는 것으로 알려져 있다. 다이서(dicer)에 의해 성숙한 miRNA(mature miRNA)를 계산학적(computational)방법으로 학습하여 인간 miRNA의 구조를 예측하였다. miRNA에 관한 구체적인 기작은 아직 확실히 밝혀지지 않았기 때문에 서열 기반과 구조 기반 모두를 포함 하는 모델을 구현 하였으며 ambiguity code를 씀으로써 정보의 손실을 최소화 하도록 하였다. miRNA와 비슷한 구조를 가진 인간 EST로부터 데이터를 무작위 추출하여 실제 인간 miRNA 데이터와 비교함으로써 학습된 결과의 성능을 평가하였다.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.42 no.1
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• pp.37-43
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• 2016

This research was carried out to identify the whitening effect of Banana leaf extract. B16F10 cells were used to measure cell viability, mRNA expression, and tyrosinase activity inhibition assay from B16F10 cell. We also carried out clinical test of the cream product containing banana leaf extract. In this study, we elucidated the effects of banana leaf extract on TRP1 / TRP2 / Tyr mRNA expression and tyrosinase activity inhibition. Quantitative real-time PCR showed that banana leaf extract decreased mRNA level of TRP1, TRP2 and Tyr gene and tyrosinase activity inhibition assay also revealed that banana leaf extract 65% decreased melanin production in B16F10 cell. Banana leaf extract cream can whiten the skin darkness induced by ultraviolet. Therefore, we successfully identified the whitening effect of banana leaf extract, and this finding suggested the banana leaf extract is a considerable potent cosmetic ingredient for skin whitening. Based on this, we anticipated further researches about banana leaf extract for mechanism to develop not only cosmetics but healthcare food or medicines.