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- 저자 : Lee Hojae (검색결과 111 건)
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Cdk5 regulates N-cadherin-dependent neuronal migration during cortical development
Lee, Dong-Keun,Lee, Hojae,Yoon, Jiyoung,Hong, Sujeong,Lee, Yunjeong,Kim, Kyung-Tai,Kim, Jong Woon,Song, Mi-Ryoung Elsevier 2019 Biochemical and biophysical research communication Vol.514 No.3
<P><B>Abstract</B></P> <P>Cyclin-dependent kinase 5 (Cdk5) controls neuronal migration in the developing cortex when multipolar newborn neurons transform to become bipolar. However, by which mechanisms Cdk5 controls cell adhesion in migrating neurons are not fully understood. In this study, we examined the functional interaction between Cdk5 and N-cadherin (Ncad) in newborn neurons when they undergo the multipolar to bipolar transition in the intermediate zone (IZ). Detailed expression analysis revealed that both Cdk5 and Ncad were present in GFP-electroporated migrating neurons in the IZ. Misexpression of dominant negative Cdk5 into the embryonic brains stalled neuronal locomotion in the lower IZ in which arrested cells were round or multipolar. When Ncad was co-introduced with Cdk5DN, however, cells continue to migrate into the cortical plate (CP) and migrating neurons acquired typical bipolar morphology with a pia-directed leading process. Similarly, downregulation of CDK5 resulted in lesser aggregation ability, reversed by the expression of Ncad <I>in vitro</I>. Down-regulation of activity or protein level of CDK5 did not alter the total amount of NCAD proteins but lowered its surface expression in cells. Lastly, expression of CDK5 and NCAD overlapped in the IZ of the human fetal cortex, indicating that the role of Cdk5 and Ncad in neuronal migration is evolutionarily conserved.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Reduced Cdk5 activity inhibits the multipolar-bipolar transition of migrating neurons. </LI> <LI> Ncad expression rescues migration defects caused by the reduction of Cdk5 activity. </LI> <LI> Downregulation of Cdk5 impairs the membrane localization of Ncad. </LI> <LI> Cdk5 and Ncad are present in developing mouse and human brains. </LI> </UL> </P>
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Lee Hojae,Ko Eunju,Lee Sanghoon 한국마케팅과학회 2023 마케팅과학연구 Vol.33 No.4
Consumers consider authenticity a critical factor in fashion brand evaluation, sustainable marketing has become essential in marketing activities. And also sustainable fashion brands is increasing, but literature in this field has focused on general and fast fashion brands, and research on luxury brands is lacking. This study aims to examine the effect of luxury brands’ sustainable fashion marketing activities on authenticity, purchase intention, and brand attitude. It analyzes the effects of article format and marketing activity type and identifies the difference in the interaction between luxury brands’ sustainable marketing types and the authenticity, purchase intention, and brand attitude of fashion companies. Sustainable fashion and raw materials were selected as the final stimuli, and 217 copies of the questionnaire were used for analysis through a specialized research company. It found that authenticity, brand attitude, and consumer purchase intention varied greatly depending on luxury brands’ sustainable fashion marketing types. Authenticity positively affected brand attitude and purchase intention, a positive brand attitude positively impacted purchase intention. This study is significant as it provides basic data on the effects of marketing strategies using authenticity from an academic and practical view, expanding the limited scope of research focused on luxury brands in sustainable fashion.
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Lee, Hojae,Kim, Jang-Ho Jay,Moon, Jae-Heum,Kim, Won-Woo,Seo, Eun-A Elsevier 2019 Construction & building materials Vol.226 No.-
<P><B>Abstract</B></P> <P>Recently, researches on additive manufacturing (AM) method have been actively carried out as the latest technique for building concrete structures in the construction field. It is known that the additive manufacturing method, also called 3D printing technique, is a method of constructing a structure by printing layers, and the adhesion strength in the interlayer between the layers plays a dominant role in the performance of the structure. In this study, we focused on the formation of interlayer of concrete structure built using additive manufacturing method. In this study, the position of the interlayer was analyzed using the computed tomography (CT) method and the correlation between porosity and tensile bond strength in the analyzed interlayer was tried. As a result of the CT analysis of 13 specimens extracted from the printed specimens, it was confirmed that the porosity was formed high in the interlayer. The porosity of the interlayer was at least 2.15% and 6.66% higher than the average porosity. After analyzing the porosity by CT, the tensile bond strength of the specimens was measured to confirm the tensile bond strength and location of the fracture surface. Tensile bond strengths were 2.58–3.77 MPa with an average of 2.80 MPa using 10 specimens. It was confirmed that all of the fracture surfaces occurred along the interlayer. It was confirmed that there was no correlation between the tensile bond strength and porosity of the test specimens used in this study. Six of the ten specimens failed in the other interlayer, but four specimens failed in the interlayer with the highest porosity. As a result of analysis of the fracture surfaces of six specimens without fracture at the highest porosity, the porosity at the fracture surface was 5.73–9.18%, which was higher by 0.6–3.3% than the average porosity. However, defects occurred during layer output were confirmed from the failure of six specimens. Through this study, we confirmed that the interlayer is the weakest when tensile stress is applied in the perpendicular direction of printing, and that it is necessary to review the defects when applying the printing method.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Pore distribution in the interlayer analyzed using X-ray Computed Tomography. </LI> <LI> Relationship between pore fraction and position of tensile bond fracture determined. </LI> <LI> Tensile bond strength of 6.27% of compressive strength obtained. </LI> <LI> Weakest layer occurred when tensile stress is perpendicular to printing direction. </LI> </UL> </P>
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Combinatorial Orthogonal Beamforming for Joint Processing and Transmission
Hojae Lee,Seonghyun Kim,Sanghoon Lee Institute of Electrical and Electronics Engineers 2014 IEEE Transactions on Communications Vol. No.
<P>Coordinated multiple point transmission (CoMP) technologies have recently been proposed to improve the performance of cell-edge users who suffer strong inter-cell interference. Nevertheless, as more transmitters get involved in cooperation, the complexity associated with the selection of multi-dimensional parameters increases exponentially. In this work, we investigate efficient multi-cell cooperation based on CoMP-joint processing and transmission (CoMP-JPT) with orthogonal beamforming using limited feedback. Through the utilization of combinatorial optimization, optimal user scheduling for joint transmission via multiple transmitters is accomplished, while the computational complexity is significantly reduced. In particular, a generalized beam assignment problem (GBAP) is formulated and solved using a combinatorial algorithm that is generalized in terms of the number of transmitters o\mathcal{B}o. The performance of the combinatorial orthogonal beamforming (COBF) scheme is mathematically analyzed so as to demonstrate its superiority and capability to maintain fairness among users in a multi-cell environment. In the simulation results, a performance gain of more than 50% for cell-edge users is obtained without a loss in the average throughput for the total number of users. In addition, the COBF method can reduce the complexity by more than 60% when compared to the conventional exhaustive search technique.</P>
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Drug repositioning for enzyme modulator based on human metabolite-likeness
Lee, Yoon Hyeok,Choi, Hojae,Park, Seongyong,Lee, Boah,Yi, Gwan-Su BioMed Central 2017 BMC bioinformatics Vol.18 No.suppl7
<P><B>Background</B></P><P>Recently, the metabolite-likeness of the drug space has emerged and has opened a new possibility for exploring human metabolite-like candidates in drug discovery. However, the applicability of metabolite-likeness in drug discovery has been largely unexplored. Moreover, there are no reports on its applications for the repositioning of drugs to possible enzyme modulators, although enzyme-drug relations could be directly inferred from the similarity relationships between enzyme’s metabolites and drugs.</P><P><B>Methods</B></P><P>We constructed a drug-metabolite structural similarity matrix, which contains 1,861 FDA-approved drugs and 1,110 human intermediary metabolites scored with the Tanimoto similarity. To verify the metabolite-likeness measure for drug repositioning, we analyzed 17 known antimetabolite drugs that resemble the innate metabolites of their eleven target enzymes as the gold standard positives. Highly scored drugs were selected as possible modulators of enzymes for their corresponding metabolites. Then, we assessed the performance of metabolite-likeness with a receiver operating characteristic analysis and compared it with other drug-target prediction methods. We set the similarity threshold for drug repositioning candidates of new enzyme modulators based on maximization of the Youden’s index. We also carried out literature surveys for supporting the drug repositioning results based on the metabolite-likeness.</P><P><B>Results</B></P><P>In this paper, we applied metabolite-likeness to repurpose FDA-approved drugs to disease-associated enzyme modulators that resemble human innate metabolites. All antimetabolite drugs were mapped with their known 11 target enzymes with statistically significant similarity values to the corresponding metabolites. The comparison with other drug-target prediction methods showed the higher performance of metabolite-likeness for predicting enzyme modulators. After that, the drugs scored higher than similarity score of 0.654 were selected as possible modulators of enzymes for their corresponding metabolites. In addition, we showed that drug repositioning results of 10 enzymes were concordant with the literature evidence.</P><P><B>Conclusions</B></P><P>This study introduced a method to predict the repositioning of known drugs to possible modulators of disease associated enzymes using human metabolite-likeness. We demonstrated that this approach works correctly with known antimetabolite drugs and showed that the proposed method has better performance compared to other drug target prediction methods in terms of enzyme modulators prediction. This study as a proof-of-concept showed how to apply metabolite-likeness to drug repositioning as well as potential in further expansion as we acquire more disease associated metabolite-target protein relations.</P><P><B>Electronic supplementary material</B></P><P>The online version of this article (doi:10.1186/s12859-017-1637-5) contains supplementary material, which is available to authorized users.</P>
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