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( Seoyeon Yang ),( Ji-yeon Lee ),( Ho Hur ),( Ji Hoon Oh ),( Myoung Hee Kim ) 생화학분자생물학회(구 한국생화학분자생물학회) 2018 BMB Reports Vol.51 No.9
Tamoxifen (TAM) is commonly used to treat estrogen receptor (ER)-positive breast cancer. Despite the remarkable benefits, resistance to TAM presents a serious therapeutic challenge. Since several HOX transcription factors have been proposed as strong candidates in the development of resistance to TAM therapy in breast cancer, we generated an in vitro model of acquired TAM resistance using ER-positive MCF7 breast cancer cells (MCF7-TAMR), and analyzed the expression pattern and epigenetic states of HOX genes. HOXB cluster genes were uniquely up-regulated in MCF7-TAMR cells. Survival analysis of in slico data showed the correlation of high expression of HOXB genes with poor response to TAM in ER-positive breast cancer patients treated with TAM. Gain- and loss-of-function experiments showed that the overexpression of multi HOXB genes in MCF7 renders cancer cells more resistant to TAM, whereas the knockdown restores TAM sensitivity. Furthermore, activation of HOXB genes in MCF7-TAMR was associated with histone modifications, particularly the gain of H3K9ac. These findings imply that the activation of HOXB genes mediate the development of TAM resistance, and represent a target for development of new strategies to prevent or reverse TAM resistance. [BMB Reports 2018; 51(9): 450-455]
Hyeongtaek Park,Seoyeon Kim,Soojin Kim,Minbae Kim,Yoonjoo Kang,Sivashanmugam Amirthalingam,Subeen Lee,Nathaniel S. Hwang,Kisuk Yang,Hwan D. Kim 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.117 No.-
MXene has recently gained immense attention as a new type of two-dimensional (2D) material. MXeneshave been studied for use in catalysts, sensors, electromagnetic interference, energy conversion, and electrochemicalstorage capacitors. They benefit from planar nanostructures and outstanding physicochemicalproperties of micro-supercapacitors, batteries, and energy collection devices because of their highthermal and electrical conductivity, excellent mechanical properties, and unique optical and plasmonproperties. Furthermore, studies on the interaction between MXene and biological components havedemonstrated the biological properties of MXene, such as the induction of reactive oxygen species, photothermalconversion, and antibacterial activity. This review explores diverse methods of MXene synthesis,discusses our current knowledge of the various biological characteristics of MXene, and investigatesthe utilization of MXene in tissue engineering. The information discussed in this review serves to guidethe future development and application of MXene in tissue engineering and regenerative medicine.
Smart Forensic Phone: Colorimetric analysis of a bloodstain for age estimation using a smartphone
Shin, Joonchul,Choi, Seoyeon,Yang, Jung-Sik,Song, Jaewoo,Choi, Jong-Soon,Jung, Hyo-Il Elsevier Sequoia 2017 Sensors and actuators. B Chemical Vol.243 No.-
<P><B>Abstract</B></P> <P>Estimating the age of a bloodstain is important for tracking down the true perpetrator of a crime from among the suspects. The current methods available for this estimation suffer from several shortcomings, including the time required and low accuracy. A mobile detection system, named <I>Smart Forensic Phone,</I> developed in this study enabled us to rapidly and precisely estimate the age of a bloodstain. We placed blood on five different materials (wallpaper, fabric, glass, wood, and A4 paper), monitored the RGB (Red, Green, and Blue) values per pixel of the bloodstain picture at 6-h intervals, and estimated the approximate age of the bloodstain using a smartphone application. The RGB values were converted into the V value of HSV (hue, saturation, and brightness). A rapid decline in RGB and V values was observed over the first 42h and thereafter remained relatively unchanged. The age of the bloodstain could be calculated from the plot of V vs. time. This method enables the estimation of the age of the bloodstain if it is less than 42h old. We will be continuing to work toward optimizing the method, so that the age of the bloodstain older than 42h can be determined using the <I>Smart Forensic Phone</I>. Our detection system offers a novel method to both criminal investigators and researchers for predicting the time elapsed after the victim’s death, which is also called postmortem interval (PMI) or the approximate time when the crime was committed.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The system for estimating age of a bloodstain, <I>Smart Forensic Phone</I>, was introduced. </LI> <LI> Time span of a bloodstain was accurately estimated in the various conditions. </LI> <LI> Deoxygenated hemoglobin resulted in light red color of the bloodstain to dark red. </LI> </UL> </P>
분자동역학 전산모사와 미시역학 모델을 이용한 질화붕소 나노튜브/고분자 복합재의 역학적 물성 및 계면특성 예측
최서연,양승화,Choi, Seoyeon,Yang, Seunghwa 한국복합재료학회 2017 Composites research Vol.30 No.4
본 연구에서는 분자동역학 전산모사와 이중 입자 모델을 이용하여 질화붕소 나노튜브-폴리메틸메타크릴레이트 나노복합재의 기계적 물성과 계면특성을 규명하였다. 단일 벽 나노튜브가 고분자 기지에 함침된 가로등방성 나노복합재 단위 셀 구조를 모델링한 후, 각 방향으로의 일축인장 및 전단 전산모사를 통해 나노복합재의 강성행렬을 예측하였다. 또한 강성행렬의 방향 평균을 취해 나노튜브가 기지 내에 랜덤 분포하는 경우의 등방성 탄성계수를 도출하였다. 분자동역학 해석 결과를 계면의 완전 결합을 가정한 이중 입자 모델 예측해와 비교한 결과, 질화붕소 나노튜브와 고분자 기지간의 계면이 불완전한 것으로 확인되었다. 나노튜브 주위에 형성되는 흡착계면의 물성을 예측하기 위해 2단계 영역 분할 기법을 도입하였고 계면의 불완전 결합을 선형 스프링으로 묘사하였다. 그 결과 다양한 스프링 컴플라이언스 값에 따른 흡착계면의 물성을 역 해석을 통해 확인할 수 있었다. In this study, the mechanical behavior and interface properties of boron nitride nanotube-poly(methyl methacrylate) nanocomposites are predicted using the molecular dynamics simulations and the double inclusion model. After modeling nanocomposite unit cell embedding single-walled nanotube and polymer, the stiffness matrix is determined from uniaxial tension and shear tests. Through the orientation average of the transversely isotropic stiffness matrix, the effective isotropic elastic constants of randomly dispersed microstructure of nanocomposites. Compared with the double inclusion model solution with a perfect interfacial condition, it is found that the interface between boron nitride nanotube and polymer matrix is weak in nature. To characterize the interphase surrounding the nanotube, the two step domain decomposition method incorporating a linear spring model at the interface is adopted. As a result, various combinations of the interfacial compliance and the interphase elastic constants are successfully determined from an inverse analysis.
Yemin Jeong,Youjeong Youn,Subin Cho,Seoyeon Kim,Morang Huh,Yang-Won Lee 대한원격탐사학회 2020 大韓遠隔探査學會誌 Vol.36 No.4
PM (particulate matter) is of interest to everyone because it can have adverse effects on human health by the infiltration from respiratory to internal organs. To date, many studies have made efforts for the prediction of PM10 and PM2.5 concentrations. Unlike previous studies, we conducted the prediction of tomorrow’s PM10 concentration for the Air Korea stations using Chinese PM10 data in addition to the satellite AOD and weather variables. We constructed 230,639 matchups from the raw data over 3 million and built an RF (random forest) model from the matchups to cope with the complexity and nonlinearity. The validation statistics from the blind test showed excellent accuracy with the RMSE (root mean square error) of 9.905 μg/m3 and the CC (correlation coefficient) of 0.918. Moreover, our prediction model showed a stable performance without the dependency on seasons or the degree of PM10 concentration. However, part of coastal areas had a relatively low accuracy, which implies that a dedicated model for coastal areas will be necessary. Additional input variables such as wind direction, precipitation, and air stability should also be incorporated into the prediction model as future work.
You-Jeong Yoon,Subin Cho,Seoyeon Kim,Na-Ri Kim,Soo-Jin Lee,Jihye Ahn,Eunjeong Lee,Seongeok Joh,Yang-Won Lee 대한원격탐사학회 2020 大韓遠隔探査學會誌 Vol.36 No.1
The production of near- and off-shore fisheries in South Korea is decreasing due to rapid changes in the fishing environment, particularly including higher sea temperature in recent years. To improve the competitiveness of the fisheries, it is necessary to provide fish catch information that changes spatiotemporally according to the sea state. In this study, artificial intelligence models that predict the CPUE (catch per unit effort) of mackerel, anchovies, and squid (Todarodes pacificus), which are three major fish species in the nearand off-shore areas of South Korea, on a 15-km grid and daily basis were developed. The models were trained and validated using the sea surface temperature, rainfall, relative humidity, pressure, sea surface wind velocity, significant wave height, and salinity as input data, and the fish catch statistics of Suhyup (National Federation of Fisheries Cooperatives) as observed data. The 10-fold blind test results showed that the developed artificial intelligence models exhibited accuracy with a corresponding correlation coefficient of 0.86. It is expected that the fish catch models can be actually operated with high accuracy under various sea conditions if high-quality large-volume data are available.