• BMB Reports
• /
• v.51 no.7
• /
• pp.338-343
• /
• 2018

Transcription termination factor-1 (TTF-I) is an RNA polymerase 1-mediated transcription terminator and consisting of a C-terminal DNA-binding domain, central domain, and N-terminal regulatory domain. This protein binds to a so-called 'Sal box' composed of an 11-base pair motif. The interaction of TTF-I with the 'Sal box' is important for many cellular events, including efficient termination of RNA polymerase-1 activity involved in pre-rRNA synthesis and formation of a chromatin loop. To further understand the role of TTF-I in human immunodeficiency virus (HIV)-I virus production, we generated various TTF-I mutant forms. Through a series of studies of the over-expression of TTF-I and its derivatives along with co-transfection with either proviral DNA or HIV-I long terminal repeat (LTR)-driven reporter vectors, we determined that wild-type TTF-I downregulates HIV-I LTR activity and virus production, while the TTF-I Myb-like domain alone upregulated virus production, suggesting that wild-type TTF-I inhibits virus production and trans-activation of the LTR sequence; the Myb-like domain of TTF-I increased virus production and trans-activated LTR activity.

• Journal of the Korean Magnetic Resonance Society
• /
• v.8 no.2
• /
• pp.86-95
• /
• 2004

A Cu(I) complex with an asymmetric TTF derivative (CET-EDTTTF) is prepared from the slow-diffusion method using CET-EDTTTF and Cu(I)Br solutions and characterized by X-ray crystallography and EPR spectroscopy. Structural analysis shows Cu(I) ions are tetrahedrally coordinated to two bridging bromides, one terminal bromide, and one S atom from CET-EDTTTF. Detailed geometrical and EPR analysis identified that the dimmer molecule contains [Cu$_2Br_4]^{2-}$ anion between two [CET-EDTTTF]$^+$ radical cations. Single-crystal EPR investigation of the complex reveals that the ganisotropy is unusually big, compared to those of the previously reported TTF+ cation radicals, implying that there is significant contribution of the Cu d-orbital to the HOMO of the complex.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2014.02a
• /
• pp.394.1-394.1
• /
• 2014

고효율 및 낮은 구동 전압을 가지는 유기 발광소자를 제작하기 위한 많은 연구가 진행되고 있다. 고효율 및 낮은 구동전압을 가지는 p-i-n 유기발광소자는 정공수송층에 p형 무기 도펀트를 도핑하고, 전자수송층에 n형 무기 도펀트를 사용하여 제작하지만, 무기 도펀트는 높은 온도에서 증착하기 때문에 챔버 내의 다른 유기 물질들이 함께 증착되거나 유기 박막에 손상을 가져올 수 있는 단점을 가지고 있기 때문에 유기물 n형 도펀트의 경우는 연구가 필요하다. 본 연구에서는 유기 p형 도펀트인 1,4,5,8,9,11-hexaazatriphenylene hexacarbonitrile과 유기 n형 도펀트인 bis (ethylenedithio)-tetrahiafulene (BEDT-TTF)를 사용하여 p-i-n 구조의 유기 발광소자를 제작하였다. 유기 n형 도펀트인 BEDT-TTF는 전자수송층 사이에서 산화-환원 반응을 통해 많은 전자를 생성하게 되고, 증가한 전자들로 인해서 Al 음극전극과 전자수송층 사이의 에너지장벽이 낮추는 역할을 하게 된다. BEDT-TTF를 도핑하지 않은 유기 발광소자보다 BEDT-TTF를 도핑하였을 때, 100 cd/m2 일때 약 2.4 V 작동 전압의 감소를 관측할 수 있었다. 이 결과는 음극전극으로부터 발광층으로 전자의 주입이 원활하게 되고, 그 결과 낮은 구동전압 및 고효율을 가지는 p-i-n 유기 발광소자를 제작할 수 있다는 것을 보여준다.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2013.02a
• /
• pp.509-509
• /
• 2013

유기발광소자는 빠른 응답속도, 높은 색재현성 및 높은 명암비의 장점을 가지며 차세대 디스플레이로서 소형 및 대형 디스플레이로 각광 받고 있다. 저전압구동 유기발광소자를 제작하기 위해 p-i-n 유기발광소자에 대한 연구가 진행되고 있다. 그러나 p형 물질에 대한 연구는 많이 진행 되었으나 n형 유기물질에 대한 연구는 아직까지 진행되고 있지 않다. n형 무기물질로 알칼리 금속을 많이 사용하고 있지만, 공기 중에 쉽게 산화되고 금속 이온의 확산에 의한 발광층 여기자 소멸 효과에 의한 효율 감소문제가 있다. 또한, 무기물질의 높은 증착온도에 따른 유기층의 손상 문제가 있다. 이러한 문제점을 해결하기 위해 유기물 n형 물질에 관한 연구가 필요하다. 본 연구에서는 n형 유기물 도펀트인 bis (ethylenedithio)-tetrahiafulene (BEDT-TTF)를 4,7-diphenyl-1,10-phenanthroline (BPhen) 전자수송층에 도핑하여 유기발광소자의 전자 수송 능력을 향상하였다. BEDT-TTF의 낮은 증착온도와 공기 중에 산화가 되지 않으며, 유기물을 사용하기 때문에 발광층 여기자 소멸을 방지할 수 있다. 전자수송층에 도핑된 BEDT-TTF 분자는 산화 반응에 의한 전자 증가에 따른 에너지 장벽을 감소시켜 전자의 주입을 향상하였다. BEDT-TTF의 농도에 따른 유기발광소자의 광학적 및 전기적 특성을 각각 관찰하여 BEDT-TTF의 농도에 따른 전자 수송 향상에 따른 저전압 유기발광소자 구동을 관측하였다.

• Journal of Life Science
• /
• v.25 no.12
• /
• pp.1439-1444
• /
• 2015

Steroid receptor coactivators (SRC) are transcriptional coactivators. Among SRCs, SRC-3 is the most studied in relation to different types of tumors. However, the role of SRC-3 in early lung development and lung cancer has not been well studied. The expression profiles of SRC-3 showed that SRC-3 contributed to bronchial and alveolar development in embryonic lung development. SRC-3 was strongly expressed in Clara cells and type II alveolar cells during fetal lung development (E17.5- E18.5), and SRC-3 was expressed in both cell types in the adult lung. TTF-1 was expressed in the lungs of heterozygote SRC-3 mice and Clara cell-specific-CCSP-TAg tumor mice, along with SRC-3 expression. The expression of TTF-1 was localized at transformed Clara cells and multifocal adenocarcinomas in lung cancer mice. However, SRC-3 was not expressed in the multifocal adenocarcinomas, suggesting that SRC-3 might not be involved in the invasiveness of lung cancer. Cotransfection of TTF-1 in Clara cell-specific mtCC cell lines resulted in significant activation of CCSP expression. However, cotransfection of SRC-3 had no significant effects on transient transfection. These in vivo and in vitro results suggest that SRC-3 does not play a significant role in lung tumor progression. In conclusion, SRC-3 is involved in bronchial and alveolar development in fetal and adult lungs, but it does not play an important role in the progression of Clara cell-derived lung cancer.

• Bulletin of the Korean Chemical Society
• /
• v.32 no.9
• /
• pp.3524-3526
• /
• 2011

• Bulletin of the Korean Chemical Society
• /
• v.16 no.1
• /
• pp.69-71
• /
• 1995

• Bulletin of the Korean Chemical Society
• /
• v.12 no.5
• /
• pp.515-517
• /
• 1991

The electronic behavior of a organic metal $(BEDT-TTE)_2$${Cu_5}{I_6}$ observed to be stable at low temperatures was examined by performing tight-binding band electronic structure calculations. The suppression of a metal-insulator tansition is likely to originate from its quasi-two-dimensional Fermi surface with no nesting, in agreement with experiment.

• Environmental Engineering Research
• /
• v.25 no.1
• /
• pp.43-51
• /
• 2020

The present study was designed to characterize the bioaccumulation of organochlorine pesticides (OCPs) in marine organisms (zooplankton, oyster, crab, and goby) on different trophic level. In the present study, sedentary bivalve (oyster) showed strong correlations in OCPs levels with surface sediment in the study area. This indicates the two compartments can be used as alternative for pollution monitoring of OCPs even in narrow scale in space. Bioaccumulation and trophic transfer of OCPs was strongly associated with their hydrophobicity (i.e., K_OW). HCHs with log K_OW < 5 did not show any enrichment through food-chain. However, log BAF values of OCPs with log K_OW > 5 positioned over the 1:1 lines of log BAF and log K_OW of the top predator, indicating the greater fugacities in the higher trophic level and thus the occurrence of biomagnification via ingestion. Based on trophic transfer factors (TTF), more hydrophobic OCPs with log K_OW > 5 were enriched by several to several ten times in the highest trophic level relative to the lowest trophic level. This finding can be used in the establishment of marine environmental water quality criteria by considering biomagnification factors (TTF in this study) of OCPs.

• Journal of Venture Innovation
• /
• v.3 no.2
• /
• pp.41-76
• /
• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.