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The Mechanisms of Resistance to TNF in TNF-Sensitive Cancer Cells Transfected with TNF-$\alpha$ Gene Using Retroviral Vector (암세포에서 Retroviral Vector를 이용한 종양괴사인자 유전자 이입후 획득된 종양괴사인자 내성의 기전)

  • Lee, Hyuk-Pyo;Oh, Yeon-Mok;Yoo, Chul-Gyu;Kim, Young-Whan;Shim, Young-Soo;Han, Sung-Koo
    • Tuberculosis and Respiratory Diseases
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    • v.44 no.3
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    • pp.547-558
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    • 1997
  • Background : Tumor necrosis factor(TNF) has been considered as an important candidate for cancer gene therapy based on its potent anti-tumor activity. However, since the efficiency of current techniques of gene transfer is not satisfactory, the majorities of current protocols is aiming the in vitro gene transfer to cancer cells and re-introducing genetically modified cancer cells to hoot. In previous study, it was shown that TNF-sensitive cancer cells transfected with TNF-$\alpha$ cDNA would become highly resistant to TNF. Understanding the mechanisms of TNF-resistance in TNF-$\alpha$ gene transfected cancer cells would be an important step for improving the efficacy of cancer gene therapy as well as for better understandings of tumor biology. This study was designed to evaluate the role of new protective protein synthesis in the acquired resistance to TNF of TNF-$\alpha$ gene transfected cancer cells. Method : We transfected TNF-$\alpha$ c-DNA to WEHI164, a murine fibrosarcoma cell line, using retroviral vector(pLT12SN(TNF)) and confirm the expression of TNF with PCR, ELISA, MIT assay. Then we determined the TNF resistance of TNF gene transfected cells(WEHI164-TNF) and the changes of TNF sensitivities after treatments with actinomycin D(transcription inhibitor) and cycloheximide ( translation inhibitor). Results : WEHI164 which was sensitive to TNF became resistant to TNF after being transfected with TNF-$\alpha$ gene and the resistance to TNF was partially reversed after treatment with actinomycin D, but not with cycloheximide. Conclusion : The acquired resistance to TNF after TNF-$\alpha$ gene transfection may be associated with synthesis of some protective proteins.

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Electrofusion of Yeast Cells and Their Genetic Analysis Using RAPD-PCR (효모세포의 전기융합 및 융합세포의 RAPD-PCR을 이용한 유전적 분석)

  • Kim, Seung;Kim, Jae-Sung;Sapkota, Kumar;Park, In-Sung;Cho, Moon-Gu;Park, Yeal;Chun, Hong-Sung;Choi, Bong-Suk;Park, Se-Eun;Choi, Han-Suk;Kim, Myung-Kon;Kim, Sung-Jun
    • Applied Biological Chemistry
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    • v.49 no.3
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    • pp.186-191
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    • 2006
  • In the present study, an attempt has been made to produce hybrid yeast strains of different useful and dominant characteristics. The hybrid yeast strains were produced by electrofusion and their genetic analysis were performed by RAPD-PCR (random amplified polymorphic DNA-polymerase chain reaction). The protoplast of Saccharomyces cerevisiae KCTC 7904 and Zygosaccharomyces rouxii KCTC 7966 were obtained above 92% when treated with lyticase at $30^{\circ}C$ for $60{\sim}90$ min after the pretreatment of $1{\sim}2%$ 2-mercaptoethanol at $30^{\circ}C$ for $15{\sim}20$ min. The fusant was produced from paired protoplast stage under the electric pulse at high frequency conditions (1.5 MHz/50 pV, 615 $V/256\;{\mu}sec$) within glass-platinum made electrofusion chamber. Changes in RAPD patterns in mother cells and hybrid cells proved that the fusant contains two types of yeast gene originated from its parent. Furthermore, fermentation characters exhibits by the fusant cell confirmed its genetic changes. These results suggest that genetically stable hybrid yeast strains of economic importance can be produced by electrofusion technique and these electrofused yeast cells have an enormous impact in biotechnology and biomedicine.

Derivation of Green Coverage Ratio Based on Deep Learning Using MAV and UAV Aerial Images (유·무인 항공영상을 이용한 심층학습 기반 녹피율 산정)

  • Han, Seungyeon;Lee, Impyeong
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1757-1766
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    • 2021
  • The green coverage ratio is the ratio of the land area to green coverage area, and it is used as a practical urban greening index. The green coverage ratio is calculated based on the land cover map, but low spatial resolution and inconsistent production cycle of land cover map make it difficult to calculate the correct green coverage area and analyze the precise green coverage. Therefore, this study proposes a new method to calculate green coverage area using aerial images and deep neural networks. Green coverage ratio can be quickly calculated using manned aerial images acquired by local governments, but precise analysis is difficult because components of image such as acquisition date, resolution, and sensors cannot be selected and modified. This limitation can be supplemented by using an unmanned aerial vehicle that can mount various sensors and acquire high-resolution images due to low-altitude flight. In this study, we proposed a method to calculate green coverage ratio from manned or unmanned aerial images, and experimentally verified the proposed method. Aerial images enable precise analysis by high resolution and relatively constant cycles, and deep learning can automatically detect green coverage area in aerial images. Local governments acquire manned aerial images for various purposes every year and we can utilize them to calculate green coverage ratio quickly. However, acquired manned aerial images may be difficult to accurately analyze because details such as acquisition date, resolution, and sensors cannot be selected. These limitations can be supplemented by using unmanned aerial vehicles that can mount various sensors and acquire high-resolution images due to low-altitude flight. Accordingly, the green coverage ratio was calculated from the two aerial images, and as a result, it could be calculated with high accuracy from all green types. However, the green coverage ratio calculated from manned aerial images had limitations in complex environments. The unmanned aerial images used to compensate for this were able to calculate a high accuracy of green coverage ratio even in complex environments, and more precise green area detection was possible through additional band images. In the future, it is expected that the rust rate can be calculated effectively by using the newly acquired unmanned aerial imagery supplementary to the existing manned aerial imagery.

Breeding and characteristics of Uram, a New Variety of Pleurotus nebrodensis (백령느타리 신품종 '우람'의 육성 및 특성)

  • Ha, Tai-Moon;Jung, Gu-Hyun;Kim, Jeoung-Suk;Choi, Jong-In;Kim, Jeong-Han;Lee, Yong-Seon;Jeong, Yung-Kyeoung
    • Journal of Mushroom
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    • v.19 no.2
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    • pp.88-95
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    • 2021
  • This study was carried out to breed new variety of Pleurotus nebrodensis. We have collected and tested characteristics of genetic resources from domestic and abroad since 2015. The varieties of P. nebrodensis from China are grown by farmers, but those have been unstable fruiting and are weak against bacterial diseases. To solve this problem, we bred the unique domestic variety 'Uram' of P. nebrodensis and the results of the characteristic test for the new 'Uram' are as follows. The proper temperature for the mycelial growth was 26~29℃ and fruit body growth temperature was 15~18℃. It was similar to the control variety KME65035 of P. nebrodensis in the pileus form of a flat and white color. The number of days required for initial fruting was 5 days for bottle cultivation and 6 days for bag cultivation which was 2-4 days shorter than that of the control variety. The pileus diameter was 32.6-37.0 mm which was smaller but the fruit body length was 130.4 mm, which was longer than those of the control variety. The effective number of fruit bodies was 1.8 in bottle cultivation and 2.9 in bag cultivation, which was more than those of the control variety. The yield rate was 93.3-100%, which was more stable than those of the control variety. In bottle cultivation and bag cultivation, the yield was 173.1 g/bottle (1100 cc) and 283.4 g/bag (1.2 kg), respectively, which was 25-44% higher than those of the control variety 138.0 g/bottle (1100 cc) and 197.4 g bag (1.2 kg). When incubating the parent and control varieties of 'Uram', the replacement line was clear and as a result of mycelial DNA RAPD-PCR reaction, the band pattern was different from that of the parent and control varieties, confirming the hybrid species.

Estimation of Chlorophyll-a Concentration in Nakdong River Using Machine Learning-Based Satellite Data and Water Quality, Hydrological, and Meteorological Factors (머신러닝 기반 위성영상과 수질·수문·기상 인자를 활용한 낙동강의 Chlorophyll-a 농도 추정)

  • Soryeon Park;Sanghun Son;Jaegu Bae;Doi Lee;Dongju Seo;Jinsoo Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.655-667
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    • 2023
  • Algal bloom outbreaks are frequently reported around the world, and serious water pollution problems arise every year in Korea. It is necessary to protect the aquatic ecosystem through continuous management and rapid response. Many studies using satellite images are being conducted to estimate the concentration of chlorophyll-a (Chl-a), an indicator of algal bloom occurrence. However, machine learning models have recently been used because it is difficult to accurately calculate Chl-a due to the spectral characteristics and atmospheric correction errors that change depending on the water system. It is necessary to consider the factors affecting algal bloom as well as the satellite spectral index. Therefore, this study constructed a dataset by considering water quality, hydrological and meteorological factors, and sentinel-2 images in combination. Representative ensemble models random forest and extreme gradient boosting (XGBoost) were used to predict the concentration of Chl-a in eight weirs located on the Nakdong river over the past five years. R-squared score (R2), root mean square errors (RMSE), and mean absolute errors (MAE) were used as model evaluation indicators, and it was confirmed that R2 of XGBoost was 0.80, RMSE was 6.612, and MAE was 4.457. Shapley additive expansion analysis showed that water quality factors, suspended solids, biochemical oxygen demand, dissolved oxygen, and the band ratio using red edge bands were of high importance in both models. Various input data were confirmed to help improve model performance, and it seems that it can be applied to domestic and international algal bloom detection.

Biochemical Effects of ABA and $GA_3$ on the Growth of Rice(Oryza sativa L.) Seedings (ABA와 $GA_3$가 유묘기(幼苗期)의 벼(Oryza sativa L.) 생육(生育)에 미친 생화학적(生化學的) 영향(影響))

  • Shon, Tae Kwon;Lee, Sang Chul;Kim, Kil Ung
    • Current Research on Agriculture and Life Sciences
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    • v.11
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    • pp.31-41
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    • 1993
  • The biochemical effects of ABA and $GA_3$ on rice seedling stages were investigated from two rice cultivars, Dongjinbyeo and Samgangbyeo. Some of the results obtained are as follows ; The shoot growth was significantly increased at all concentrations of $GA_3$ compared to the control but it was completely inhibited by ABA. The root length was not affected by all concentrations of $GA_3$ except for the highest concentration of $10^{-3}M$. ABA had an inhibitary effect on root growth and showed similar trend to the shoot growth. By increasing the concentration of $GA_3$, sugar content of rice seedlings was increased and starch content was decreased. On the contrary, the treatment of ABA revealed that sugar content was decreasing with higher level of starch content. Chlorophyll content was greatly reduced at the all concentrations of $GA_3$ in both cultivars tested. Generally, the responses of root activity decreased with treatment of $GA_3$ but no difference in the activity was observed in Samgangbyeo. Major fatty acids of rice seedlings were investigated as palmitic, oleic, and linoleic acid with little contents of linolenic acid and stearic acid. The contents of these fatty acids were decreased with ABA and increased with $GA_3$ treatment, respectively. A protein band of 24 kD in the electrophoresis was observed with ABA treated rice seedlings but not with $GA_3$.

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The Study of Land Surface Change Detection Using Long-Term SPOT/VEGETATION (장기간 SPOT/VEGETATION 정규화 식생지수를 이용한 지면 변화 탐지 개선에 관한 연구)

  • Yeom, Jong-Min;Han, Kyung-Soo;Kim, In-Hwan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.4
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    • pp.111-124
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    • 2010
  • To monitor the environment of land surface change is considered as an important research field since those parameters are related with land use, climate change, meteorological study, agriculture modulation, surface energy balance, and surface environment system. For the change detection, many different methods have been presented for distributing more detailed information with various tools from ground based measurement to satellite multi-spectral sensor. Recently, using high resolution satellite data is considered the most efficient way to monitor extensive land environmental system especially for higher spatial and temporal resolution. In this study, we use two different spatial resolution satellites; the one is SPOT/VEGETATION with 1 km spatial resolution to detect coarse resolution of the area change and determine objective threshold. The other is Landsat satellite having high resolution to figure out detailed land environmental change. According to their spatial resolution, they show different observation characteristics such as repeat cycle, and the global coverage. By correlating two kinds of satellites, we can detect land surface change from mid resolution to high resolution. The K-mean clustering algorithm is applied to detect changed area with two different temporal images. When using solar spectral band, there are complicate surface reflectance scattering characteristics which make surface change detection difficult. That effect would be leading serious problems when interpreting surface characteristics. For example, in spite of constant their own surface reflectance value, it could be changed according to solar, and sensor relative observation location. To reduce those affects, in this study, long-term Normalized Difference Vegetation Index (NDVI) with solar spectral channels performed for atmospheric and bi-directional correction from SPOT/VEGETATION data are utilized to offer objective threshold value for detecting land surface change, since that NDVI has less sensitivity for solar geometry than solar channel. The surface change detection based on long-term NDVI shows improved results than when only using Landsat.

Study of Coherent High-Power Electromagnetic Wave Generation Based on Cherenkov Radiation Using Plasma Wakefield Accelerator with Relativistic Electron Beam in Vacuum (진공 내 상대론적인 영역의 전자빔을 이용한 플라즈마 항적장 가속기 기반 체렌코프 방사를 통한 결맞는 고출력 전자파 발생 기술 연구)

  • Min, Sun-Hong;Kwon, Ohjoon;Sattorov, Matlabjon;Baek, In-Keun;Kim, Seontae;Hong, Dongpyo;Jang, Jungmin;Bhattacharya, Ranajoy;Cho, Ilsung;Kim, Byungsu;Park, Chawon;Jung, Wongyun;Park, Seunghyuk;Park, Gun-Sik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.6
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    • pp.407-410
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    • 2018
  • As the operating frequency of an electromagnetic wave increases, the maximum output and wavelength of the wave decreases, so that the size of the circuit cannot be reduced. As a result, the fabrication of a circuit with high power (of the order of or greater than kW range) and terahertz wave frequency band is limited, due to the problem of circuit size, to the order of ${\mu}m$ to mm. In order to overcome these limitations, we propose a source design technique for 0.1 THz~0.3 GW level with cylindrical shape (diameter ~2.4 cm). Modeling and computational simulations were performed to optimize the design of the high-power electromagnetic sources based on Cherenkov radiation generation technology using the principle of plasma wakefield acceleration with ponderomotive force and artificial dielectrics. An effective design guideline has been proposed to facilitate the fabrication of high-power terahertz wave vacuum devices of large diameter that are less restricted in circuit size through objective verification.

Study on Sound Production and Phonotaxis of Some Fishes and Crabs (몇가지 어류 및 갑각류의 발음과 주음성에 관한 연구)

  • 김상한
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.14 no.1
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    • pp.15-36
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    • 1978
  • Underwater sounds of some fishes and crabs were analyzed in the laboratory. The behavioral responses to the playback sounds of their feeding and croaking sound were investigated. The samples used in the experiment were as follows: Nibea albiflora, seriola quinqueradiata, Navodon modestus, Fugu xanthopterus, chrysophrys major, Scylla serrata, Telmessus acutidens, Charybdis japonica, and Portunus trituberculatus. The feeding and croaking sounds of the samples were recorded by a tape recorder through a hydrophone in an anechoic aquarium. The sound intensity level was measured by means of a sound level meter at an anechoic chamber. The frequency, intensity and wave form of various sounds were analyzed with an analyzing system consisting of a 1/3 octave filter set, a high speed level recorder, an amplifier, an octave band analyzer and an oscilloscope. The most successful recording was edited into a sequence of sound track which repeats sound emitting for 5 to 7 seconds after pausing for 5 to 7 seconds. The sequence was then reproduced into an anechoic aquarium through the under water speaker. The experimental anechoic aquarium used for the sample fishes was divided into the four sections with any three screens selected from 40$\times$40mm, 60$\times$60mm, 80$\times$80mm and 100$\times$100mm mushes according to the species of the fishes, besides that for crabs were not sectioned. The results of the investigation are as follows: 1. Of the feeding sound of fish, the frequency of wave from of the sound produced by Nibea albiflora and seriola quinqucradiata was 125~250Hz, that by Navodon modestus 63~125Hz, and that by Fugu xanthopterus 400~500Hz. The pressure level of the feeding sound produced by Nibea albiflora and Seriola quinqueradiata was 56~62db, that by Navodon modestus 57~59db, and that by Fugu xanthopterus 60~64db. 2. Of the croaking sound of Nibea albiflora, the frequency of the sound was 125~250Hz almost equivalent to that of feeding sound, and the pressure level was 62~63db, slightly higher than that of feeding sound. 3. Of the croaking sounds of crabs, the frequency of the sound produced by scylla serrata was 125~250Hz, that by Charybdis japonica and Telmessus acutidens 500~1,000Hz, and that by Portunus trituberculatus 250~500Hz. The pressure level of the croaking sound by Scylla serrata was 68~70db, and that by Charybdis japonica, Telmessus acutidens and Portuens trituberculatus 50~62db. 4. Phonotactic responses of Nibea albiflora and Seriola quinqueradiata to the feeding sounds produced by their own species, the same body length were conspicuous with the phonotactic index of 56~87%, but that of Navodon modestus, Chrysophrys major and Fugu xanthopterus were hardly recognized. 5. Phonotactic responses of the sample fishes to the sinusoidal sound with the frequency range of 50 to 9,000 Hz were observed not conspicuous. 6. Phonotactic responses of Portunus trituberculatus to the croaking sounds produced by their own species was varied in the range of 40~100%, according to the carapace length and the sex.

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Growth Characteristics of Common Ice Plant (Mesembryanthemum crystallinum L.) on Nutrient Solution, Light Intensity and Planting Distance in Closed-type Plant Production System (완전제어형 식물 생산 시스템에서 배양액, 광도 및 재식거리에 따른 Common Ice Plant의 생육 특성)

  • Cha, Mi-Kyung;Park, Kyoung Sub;Cho, Young-Yeol
    • Journal of Bio-Environment Control
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    • v.25 no.2
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    • pp.89-94
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    • 2016
  • This study was conducted to determine the optimum nutrient solution, pH, irrigation interval, light intensity and planting density to growth of common ice plant (Mesembryanthemum crystallinum L.) in a closed-type plant production system. Three-band radiation type fluorescent lamps with a 12-h photoperiod were used. Nutrient film technique systems with three layers were used for the plant growth system. Environmental conditions, such as air temperature, relative humidity and $CO_2$ concentration were controlled by an ON/OFF operation. Treatments were comparison of the nutrient solution of Horticultural Experiment Station in Japan (NHES) and the nutrient solution of Jeju National University (NJNU), pH 6.0 and 7.0, irrigation interval 5 min and 10 min, light intensity 90 and $180{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, and within-row spacing 10 cm, 15 cm, 20 cm and 25 cm with between-row spacing 15 cm. Optimum macronutrients were composed N 7.65, P 0.65, K 4.0, Ca 1.6 and Mg $1.0mM{\cdot}L^{-1}$. There were no significant interactions between pH 6.0 and 7.0 about shoot fresh weight and shoot dry weight of common ice plant. Irrigation interval 5 min and 10 min was also the same result. Shoot fresh weight and shoot dry weight were highest at $180{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$. Shoot fresh weight and shoot dry weight were decreased according to increasing the planting density. From the above results, we concluded that optimum nutrient solution, optimum levels of pH, irrigation interval, light intensity and planting density were 6.0-7.0 and 10 min, $180{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$ and $15{\times}15cm$, respectively for growth of common ice plant in a closed-type plant production system.