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Ryu, Nae-Hyung,Park, Kyung-Ran,Kim, Sung-Moo,Yun, Hyung-Mun,Nam, Dong-Woo,Lee, Seok-Geun,Jang, Hyeung-Jin,Ahn, Kyoo-Seok,Kim, Sung-Hoon,Shim, Bum-Sang,Choi, Seung-Hoon,Mosaddik, Ashik,Cho, So-Mi K.,Ah The Korean Society of Food Science and Nutrition 2012 Journal of medicinal food Vol.15 No.3
This study was carried out to evaluate the anticancer effect of guava leaf extracts and its fractions. The chemical compositions of the active extracts were also determined. In the present study, we set out to determine whether the anticancer effects of guava leaves are linked with their ability to suppress constitutive AKT/mammalian target of rapamycin (mTOR)/ribosomal p70 S6 kinase (S6K1) and mitogen-activated protein kinase (MAPK) activation pathways in human prostate cancer cells. We found that guava leaf hexane fraction (GHF) was the most potent inducer of cytotoxic and apoptotic effects in PC-3 cells. The molecular mechanism or mechanisms of GHF apoptotic potential were correlated with the suppression of AKT/mTOR/S6K1 and MAPK signaling pathways. This effect of GHF correlated with down-regulation of various proteins that mediate cell proliferation, cell survival, metastasis, and angiogenesis. Analysis of GHF by gas chromatography and gas chromatography-mass spectrometry tentatively identified 60 compounds, including <TEX>${\beta}$</TEX>-eudesmol (11.98%), <TEX>${\alpha}$</TEX>-copaene (7.97%), phytol (7.95%), <TEX>${\alpha}$</TEX>-patchoulene (3.76%), <TEX>${\beta}$</TEX>-caryophyllene oxide (CPO) (3.63%), caryophylla-3(15),7(14)-dien-6-ol (2.68%), (E)-methyl isoeugenol (1.90%), <TEX>${\alpha}$</TEX>-terpineol (1.76%), and octadecane (1.23%). Besides GHF, CPO, but not phytol, also inhibited the AKT/mTOR/S6K1 signaling pathway and induced apoptosis in prostate cancer cells. Overall, these findings suggest that guava leaves can interfere with multiple signaling cascades linked with tumorigenesis and provide a source of potential therapeutic compounds for both the prevention and treatment of cancer.
Jang, Mi,Jeong, Seung-Weon,Cho, Somi K.,Ahn, Kwang Seok,Lee, Jong Hyun,Yang, Deok Chun,Kim, Jong-Chan The Korean Society of Food Science and Nutrition 2014 Journal of medicinal food Vol.17 No.6
Plant extracts have been used as a source of medicines for a wide variety of human ailments. Among the numerous traditional medicinal herbs, Psidium guajava L. (Myrtaceae), commonly known as guava, has long been used in folk medicines as a therapeutic agent for the treatment of numerous diseases in East Asian and other countries. The aim of this study was to investigate the anti-inflammatory activity of an ethanolic leaf extract of P. guajava (guava) in vitro and in vivo. Our results demonstrated that guava leaf extract (GLE) significantly inhibited lipopolysaccharide (LPS)-induced production of nitric oxide and prostaglandin <TEX>$E_2$</TEX> in a dose-dependent manner. GLE suppressed the expression and activity of both inducible nitric oxide synthase and cyclooxygenase-2 in part through the downregulation of ERK1/2 activation in RAW264.7 macrophages. Furthermore, GLE exhibited significant anti-inflammatory activity in 2 different animal models - Freund's complete adjuvant-induced hyperalgesia in the rat and LPS-induced endotoxic shock in mice.
Plant‐expressed Fc‐fusion protein tetravalent dengue vaccine with inherent adjuvant properties
Kim, Mi Young,Copland, Alastair,Nayak, Kaustuv,Chandele, Anmol,Ahmed, Muhammad S.,Zhang, Qibo,Diogo, Gil R.,Paul, Matthew J.,Hofmann, Sven,Yang, Moon‐,Sik,Jang, Yong‐,Suk,Ma, Julian K BLACKWELL 2018 PLANT BIOTECHNOLOGY JOURNAL Vol.16 No.7
<P><B>Summary</B></P><P>Dengue is a major global disease requiring improved treatment and prevention strategies. The recently licensed Sanofi Pasteur Dengvaxia vaccine does not protect children under the age of nine, and additional vaccine strategies are thus needed to halt this expanding global epidemic. Here, we employed a molecular engineering approach and plant expression to produce a humanized and highly immunogenic poly‐immunoglobulin G scaffold (PIGS) fused to the consensus dengue envelope protein III domain (cEDIII). The immunogenicity of this IgG Fc receptor‐targeted vaccine candidate was demonstrated in transgenic mice expressing human FcγRI/CD64, by induction of neutralizing antibodies and evidence of cell‐mediated immunity. Furthermore, these molecules were able to prime immune cells from human adenoid/tonsillar tissue <I>ex vivo</I> as evidenced by antigen‐specific CD4<SUP>+</SUP> and CD8<SUP>+</SUP> T‐cell proliferation, IFN‐γ and antibody production. The purified polymeric fraction of dengue PIGS (D‐PIGS) induced stronger immune activation than the monomeric form, suggesting a more efficient interaction with the low‐affinity Fcγ receptors on antigen‐presenting cells. These results show that the plant‐expressed D‐PIGS have the potential for translation towards a safe and easily scalable single antigen‐based tetravalent dengue vaccine.</P>
Baek, Min K,Kim, Mi H,Jang, Hee J,Park, Jung S,Chung, Ik J,Shin, Boo A,Ahn, Bong W,Jung, Young D National Hellenic Research Foundation 2008 Oncology reports Vol.20 No.6
<P>Overexpression of epidermal growth factor (EGF) and urokinase plasminogen activator receptor (uPAR) have been observed in human gastric cancers. However, the interaction between EGF and uPAR in gastric cancer has not been well elucidated. In this study, we investigated the effect of EGF on uPAR expression and the underlying signal pathways in human gastric cancer AGS cells. EGF induced uPAR mRNA expression in a time- and concentration-dependent manner. EGF also induced uPAR promoter activity. In addition, EGF induced the activation of extracellular signal regulated kinase-1/2 (ERK-1/2) and P38 mitogen-activated protein kinase (MAPK) but not the activation of c-Jun amino terminal kinase. A specific inhibitor of MEK-1 (an upstream effector of ERK-1/2) and a dominant negative MEK-1 were able to suppress the EGF-induced uPAR promoter activity. Site-directed mutagenesis and electrophoretic mobility shift assays demonstrated that the binding sites of transcription factors, activator protein-1 (AP-1) and nuclear factor (NF)-kappaB, are involved in the EGF-induced uPAR transcription. Suppression of the EGF-induced uPAR promoter activity by the AP-1 decoy oligonuclotide, as well as expression vectors encoding mutated-type NF-kappaB-inducting kinase and I-kappaB, confirmed that the activation of AP-1 and NF-kappaB are essential for the EGF-induced uPAR upregulation. The AGS cells pretreated with EGF showed a remarkably enhanced invasiveness and this effect was partially abrogated by uPAR neutralizing antibodies and by the inhibitors of ERK-1/2, AP-1, and NF-kappaB. The above results suggest that EGF induces uPAR expression via ERK-1/2, AP-1, and NF-kappaB signaling pathways and, in turn, stimulates cell invasiveness in human gastric cancer AGS cells.</P>
FPGA에서 에너지 효율이 높은 데이터 경로 구성을 위한 계층적 설계 방법
장주욱,이미숙,최선일,Jang Ju-Wook,Lee Mi-Sook,Mohanty Sumit,Choi Seonil,Prasanna Viktor K. 한국정보처리학회 2005 정보처리학회논문지 A Vol.12 No.5
본 논문은 ffGA상에서 에너지 효율이 높은 데이터 경로 설계 방법론을 제안한다. 에너지, 처리시간, 그리고 면적간의 트레이드오프를 이해하기 위하여, 도메인 특성 모델링, coarse-grained 성능평가, 설계공간 조사, 그리고 로우-레벨 시뮬레이션 과정들을 통합한다. 도메인 특성 모델링 기술은 도메인의 특성에 따른 시스템 전체의 에너지 모에 영향을 미치는 여러 가지 구성요소와 파라미터들을 식별함으로써 하이-레벨 모델을 명시한다. 도메인이란 주어진 어플리케이션 커널의 알고리즘에 대응하는 아키텍쳐 패밀리이다. 하이-레벨 모델 또한 에너지, 처리시간 그리고 면적을 예측하는 함수들로 구성되어 트레이드오프 분석을 용이하게 한다. 설계 공간 조사(DSE)는 도메인에 명시된 설계 공간을 분석하여 설계 셋을 선택하도록 한다. 로우-레벨 시뮬레이션은 설계 공간 조사(DSE)에 의해 선택된 설계와 최종 선택된 설계의 정확한 성능평가를 위하여 사용된다. 본 논문에서 제안한 설계 방법은 매트릭스 곱셈에 대응하는 알고리즘과 아키텍쳐 패밀리를 사용한다. 제안된 방법에 의해 검증된 설계는 에너지, 처리시간과 면적간의 트레이드오프를 보인다. 제안된 설계 방법의 효율성을 보이기 위하여 Xilinx에서 제공되는 매트릭스 곱셈 커널과 비교하였다. 성능 비교 메트릭으로 평균 전력 밀도(E/AT)와 에너지 대 (면적 x 처리시간)비를 사용하였다. 다양한 문제의 크기에 대하여 Xilinx설계들과 비교하였을 때 제안한 설계 방법이 전력밀도(E/AT)에서 평균 $25\%$우수하였다. 또한 본 논문에 제안한 설계의 방법을 MILAN 프레임워크를 이용하여 구현하였다. We present a methodology to design energy-efficient data paths using FPGAs. Our methodology integrates domain specific modeling, coarse-grained performance evaluation, design space exploration, and low-level simulation to understand the tradeoffs between energy, latency, and area. The domain specific modeling technique defines a high-level model by identifying various components and parameters specific to a domain that affect the system-wide energy dissipation. A domain is a family of architectures and corresponding algorithms for a given application kernel. The high-level model also consists of functions for estimating energy, latency, and area that facilitate tradeoff analysis. Design space exploration(DSE) analyzes the design space defined by the domain and selects a set of designs. Low-level simulations are used for accurate performance estimation for the designs selected by the DSE and also for final design selection We illustrate our methodology using a family of architectures and algorithms for matrix multiplication. The designs identified by our methodology demonstrate tradeoffs among energy, latency, and area. We compare our designs with a vendor specified matrix multiplication kernel to demonstrate the effectiveness of our methodology. To illustrate the effectiveness of our methodology, we used average power density(E/AT), energy/(area x latency), as themetric for comparison. For various problem sizes, designs obtained using our methodology are on average $25\%$ superior with respect to the E/AT performance metric, compared with the state-of-the-art designs by Xilinx. We also discuss the implementation of our methodology using the MILAN framework.