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Kim, Cha-Young,Koo, Yoon-Duck,Jin, Jing-Bo,Moon, Byeong-Cheol,Kang, Chang-Ho,Kim, Sun-Tae,Park, Byung-Ouk,Lee, So-Young,Kim, Man-Lyang,Hwang, In-Hwan,Kang, Kyu-Young,Bahk, Jeong-Dong,Lee, Sang-Yeol,,C Plant molecular biology and biotechnology research 2003 Plant molecular biology and biotechnology research Vol.2003 No.-
ABSTRACT: Hundreds of proteins involved in signaling pathways contain a Ca^(2+)-dependent membrane-binding motif called the C2-domain. However, no small C2-domain proteins consisting of a single C2-domain have been reported in animal cells. We have isolated two cDNA clones, OsERG1a and OsERGIb, that encode two small C2-domain proteins of 156 and 159 amino acids, respectively, from a fungal elicitor-treated rice cDNA library. The clones are believed to have originated from a single gene by alternative splicing. Transcript levels of the OsERG1 gene are dramatically elvated by a fungal elicitor prepared from Magnaporthe grisea or by Ca^(2+) ions. The OsERG1 protein produced in Escherichia coli binds to phospholipid vesicles in a Ca^(2+)-dependent manner and is translocated to the plasma membrane of plant cells by treatment with either a fungal elicitor of a Ca^(2+)-ionophore. These results suggest that OsERG1 proteins containing a single C2-domain are involved in plant defense signaling systems.
Quantum Dot/Siloxane Composite Film Exceptionally Stable against Oxidation under Heat and Moisture
Kim, Hwea Yoon,Yoon, Da-Eun,Jang, Junho,Lee, Daewon,Choi, Gwang-Mun,Chang, Joon Ha,Lee, Jeong Yong,Lee, Doh C.,Bae, Byeong-Soo American Chemical Society 2016 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.138 No.50
<P>We report on the fabrication of a siloxane-encapsulated quantum dot (QD) film (QD-silox film), which exhibits stable emission intensity for over 1 month even at elevated temperature and humidity. QD-silox films are solidified via free radical addition reaction between oligosiloxane resin and ligand molecules on QDs. We prepare the QD-oligosiloxane resin by sol gel condensation reaction of silane precursors with QDs blended in the precursor solution, forgoing ligand-exchange of QDs. The resulting QD-oligosiloxane resin remains optically clear after 40 days of storage, in contrast to other QD-containing resins which turn turbid and ultimately form sediments. QDs also disperse uniformly in the QD-silox film, whose photoluminescence (PL) quantum yield (QY) remains nearly unaltered under harsh conditions; for example, 85 degrees C/5% relative humidity (RH), 85 degrees C/85% RH, strongly acidic, and strongly basic environments for 40 days. The QD-silox film appears to remain equally emissive even after being immersed into boiling water (100 degrees C). Interestingly, the PL QY of the QD-silox film noticeably increases when the film is exposed to a moist environment, which opens a new, facile avenue to curing dimmed QD-containing films. Given its excellent stability, we envision that the QD-silox film is best suited in display applications, particularly as a PL-type down-conversion layer.</P>
Improved memory and reduced anxiety in δ-catenin transgenic mice
Ryu, Taeyong,Park, Hyung Joon,Kim, Hangun,Cho, Young-Chang,Kim, Byeong C.,Jo, Jihoon,Seo, Young-Woo,Choi, Won-Seok,Kim, Kwonseop Academic Press 2019 Experimental neurology Vol.318 No.-
<P><B>Abstract</B></P> <P>δ-Catenin is abundant in the brain and affects its synaptic plasticity. Furthermore, loss of δ-catenin is related to the deficits of learning and memory, mental retardation (cri-du-chat syndrome), and autism. A few studies about δ-catenin deficiency mice were performed. However, the effect of δ-catenin overexpression in the brain has not been investigated as yet. Therefore we generated a δ-catenin overexpressing mouse model. To generate a transgenic mouse model overexpressing δ-catenin in the brain, δ-catenin plasmid having a Thy-1 promotor was microinjected in C57BL/6 mice. Our results showed δ-catenin transgenic mice expressed higher levels of N-cadherin, β-catenin, and p120-catenin than did wild type mice. Furthermore, δ-catenin transgenic mice exhibited better object recognition, better sociability, and lower anxiety than wild type mice. However, both mice groups showed a similar pattern in locomotion tests. Although δ-catenin transgenic mice show similar locomotion, they show improved sociability and reduced anxiety. These characteristics are opposite to the symptoms of autism or mental retardation, which are caused when δ-catenin is deficient. These results suggest that δ-catenin may alleviate symptoms of autism, Alzheimer's disease and mental retardation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> δ-Catenin transgenic mice had improved object recognition. </LI> <LI> δ-Catenin transgenic mice showed improved social interactions. </LI> <LI> δ-Catenin transgenic mice showed less anxiety. </LI> </UL> </P>
Impact of Visceral Adipose Tissue on Clinical Outcomes After Acute Ischemic Stroke
Kim, Ja-Hae,Choi, Kang-Ho,Kang, Kyung-Wook,Kim, Joon-Tae,Choi, Seong-Min,Lee, Seung-Han,Park, Man-Seok,Kim, Byeong C.,Kim, Myeong-Kyu,Cho, Ki-Hyun Ovid Technologies Wolters Kluwer -American Heart A 2019 Stroke Vol.50 No.2
Charge-Spin Correlation in van der Waals Antiferromagnet NiPS3
Kim, So Yeun,Kim, Tae Yun,Sandilands, Luke J.,Sinn, Soobin,Lee, Min-Cheol,Son, Jaeseok,Lee, Sungmin,Choi, Ki-Young,Kim, Wondong,Park, Byeong-Gyu,Jeon, C.,Kim, Hyeong-Do,Park, Cheol-Hwan,Park, Je-Geun American Physical Society 2018 Physical Review Letters Vol.120 No.13
Myeongsu Kang,Jaeyoung Kim,Jong-Myon Kim,Tan, Andy C. C.,Kim, Eric Y.,Byeong-Keun Choi Institute of Electrical and Electronics Engineers 2015 IEEE transactions on power electronics Vol. No.
<P>This paper proposes a highly reliable fault diagnosis approach for low-speed bearings. The proposed approach first extracts wavelet-based fault features that represent diverse symptoms of multiple low-speed bearing defects. The most useful fault features for diagnosis are then selected by utilizing a genetic algorithm (GA)-based kernel discriminative feature analysis cooperating with one-against-all multicategory support vector machines (OAA MCSVMs). Finally, each support vector machine is individually trained with its own feature vector that includes the most discriminative fault features, offering the highest classification performance. In this study, the effectiveness of the proposed GA-based kernel discriminative feature analysis and the classification ability of individually trained OAA MCSVMs are addressed in terms of average classification accuracy. In addition, the proposed GA-based kernel discriminative feature analysis is compared with four other state-of-the-art feature analysis approaches. Experimental results indicate that the proposed approach is superior to other feature analysis methodologies, yielding an average classification accuracy of 98.06% and 94.49% under rotational speeds of 50 revolutions-per-minute (RPM) and 80 RPM, respectively. Furthermore, the individually trained MCSVMs with their own optimal fault features based on the proposed GA-based kernel discriminative feature analysis outperform the standard OAA MCSVMs, showing an average accuracy of 98.66% and 95.01% for bearings under rotational speeds of 50 RPM and 80 RPM, respectively.</P>