• Title/Summary/Keyword: vector migration

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The Relationship between the Density of the Small Brown Planthopper and the Rice Stripe Virus Disease in Rice Cultivation System (재배양식에 따른 벼 줄무늬잎마름병 전염원인 애멸구의 밀도)

  • Lee, Du-Ku;Shim, Hyeong-Kwon;Park, Jong-Chul;Choi, Man-Young;Kang, Mi-Hyung;Kim, Jae-Duk;Park, Jin-Woo;Noh, Tae-Hwan
    • Korean Journal of Plant Resources
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    • v.19 no.4
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    • pp.488-490
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    • 2006
  • In double cropping fields, there has been a risk of increase rice stripe viral disease outbreaking as the vector, small brown planthopper that overwinter in barley fields increases. Especially rice cultivation in Honam region has two types of cropping system such as rice only cropping in a season and double cropping both of rice and barley. In double cropping system, harvesting of barley could induce migration of the vector from barley to rice field. We found that the vector's density was different in rice fields by distance from barley field. The vector's density in rice field was highest 63 numbers within one meter from the neighbor barley field, and the numbers reduced greatly as the distance from barley field increases. The disease incidence according to rice cultivation methods was different, Donjin 1 was appeared to be a susceptible variety showing 2.4% and 2.5% of disease incidence in direct and transplanting cultivation, respectively. The small brown planthopper in a nearby rice field reach peak 3 days after the barley field was harvested.

Expression and Functional Role of ALDH1 in Cervical Carcinoma Cells

  • Rao, Qun-Xian;Yao, Ting-Ting;Zhang, Bing-Zhong;Lin, Rong-Chun;Chen, Zhi-Liao;Zhou, Hui;Wang, Li-Juan;Lu, Huai-Wu;Chen, Qin;Di, Na;Lin, Zhong-Qiu
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.4
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    • pp.1325-1331
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    • 2012
  • Tumor formation and growth is dictated by a very small number of tumor cells, called cancer stem cells, which are capable of self-renewal. The genesis of cancer stem cells and their resistance to conventional chemotherapy and radiotherapy via mechanisms such as multidrug resistance, quiescence, enhanced DNA repair abilities and anti-apoptotic mechanisms, make it imperative to develop methods to identify and use these cells as diagnostic or therapeutic targets. Aldehyde dehydrogenase 1 (ALDH1) is used as a cancer stem cell marker. In this study, we evaluated ALDH1 expression in CaSki, HeLa and SiHa cervical cancer cells using the Aldefluor method to isolate ALDH1-positive cells. We showed that higher ALDH1 expression correlated with significantly higher rates of cell proliferation, microsphere formation and migration. We also could demonstrate that SiHa-ALDH1-positive cells were significantly more tumorigenic compared to SiHa-ALDH1-negative cells. Similarly, SiHa cells overexpressing ALDH1 were significantly more tumorigenic and showed higher rates of cell proliferation and migration compared to SiHa cells where ALDH1 expression was knocked down using a lentivirus vector. Our data suggested that ALDH1 is a marker of cervical cancer stem cells and expand our understanding of its functional role.

A Differential Pricing Model for Industrial Land based on Locational Characteristics (입지특성을 고려한 토지가격의 차등적 산정방안 - 산업시설용지 공급가격을 중심으로 -)

  • Shim, Jae Heon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.303-314
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    • 2011
  • This paper proposes a differential pricing model for industrial land based on locational characteristics, using Support Vector Regression (SVR) as a land pricing methodology. The initial selling price of industrial land is set based on the total cost of site development that comprises the land acquisition cost and tax, land development expense, infrastructure installation cost, labor cost, migration expense, selling and administrative expense, capital cost, and so on. However, the current industrial land pricing method unreasonably applies the same price per square meter to all parcels within an industrial complex without considering differences in price depending on the location of each parcel. Therefore, this paper proposes an empirical land pricing model to solve this irrationality and verifies its validity and applicability.

DCT-based Digital Dropout Detection using SVM (SVM을 이용한 DCT 기반의 디지털 드롭아웃 검출)

  • Song, Gihun;Ryu, Byungyong;Kim, Jaemyun;Ahn, Kiok;Chae, Oksam
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.7
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    • pp.190-200
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    • 2014
  • The video-based system of the broadcasters and the video-related institutions have shifted from analogical to digital in worldwide. This migration process can generate a defect, digital dropout, in the quality of the contents. Moreover, there are limited researches focused on these kind of defects and those related have limitations. For that reason, we are proposing a new method for feature extraction emphasizing in the peculiar block pattern of digital dropout based on discrete cosine transform (DCT). For classification of error block, we utilize support vector machine (SVM) which can manage feature vectors efficiently. Further, the proposed method overcome the limitation of the previous one using continuity of frame by frame. It is using only the information of a single frame and works better even in the presence of fast moving objects, without the necessity of specific model or parameter estimation. Therefore, this approach is capable of detecting digital dropout only with minimal complexity.

Constitutive Expression of Arylsulfatase from Pseudoalteromonas carageenovora in E. coli and Its Application to Preparation of Agarose (E. coli에서 Pseudoalteromonas carageenovora 유래 Arylsulfatase의 구성적 발현과 Agarose 제조에의 응용)

  • Kim, Mi-Jin;Jang, Yhon-Hwa;Sung, Moon-Hee;Kim, Yeon-Hee;Nam, Soo-Wan
    • Microbiology and Biotechnology Letters
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    • v.35 no.1
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    • pp.11-16
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    • 2007
  • The arylsulfatase gene (astA, 984 bp ORF) from Pseudoalteromonas carrageenovora genome was amplified by PCR and subcloned into the pHCE-IA vector, in which the hyper consitutive expression (HCE) promoter from the D-amino acid aminotransferase (D-AAT) gene of Geobacillus toevii was employed. The transformant cell, Escherichia coli BL21 (DE3)/pHCE-AST, on LB agar plate containig 4-methylumbelliferyl sulfate, showed an intense fluorescence at 360 nm, indicating that 4-methylumbelliferone was liberated by desulfatate activity. When BL21 (DE3)/pHCE-AST was grown on LB media containing 0.4% glucose or 0.4% glycerol, the arylsulfatase activity was higher at glycerol rather than at glucose. On 2% glycerol medium, the arylsulfatase activity reached 15.0 unit/ml, which was 2.6-fold higher expression level than that with 1% glycerol. The DNA ladder in agarose prepared from agar by this recombinant enzyme revealed similar resolution and migration patterns with a commercial agarose. This results suggests that arylsulfatase overexpressed in E. coli could be applicable to the economic production of electrophoretic-grade agarose.

Research Trend Analysis for Fault Detection Methods Using Machine Learning (머신러닝을 사용한 단층 탐지 기술 연구 동향 분석)

  • Bae, Wooram;Ha, Wansoo
    • Economic and Environmental Geology
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    • v.53 no.4
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    • pp.479-489
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    • 2020
  • A fault is a geological structure that can be a migration path or a cap rock of hydrocarbon such as oil and gas, formed from source rock. The fault is one of the main targets of seismic exploration to find reservoirs in which hydrocarbon have accumulated. However, conventional fault detection methods using lateral discontinuity in seismic data such as semblance, coherence, variance, gradient magnitude and fault likelihood, have problem that professional interpreters have to invest lots of time and computational costs. Therefore, many researchers are conducting various studies to save computational costs and time for fault interpretation, and machine learning technologies attracted attention recently. Among various machine learning technologies, many researchers are conducting fault interpretation studies using the support vector machine, multi-layer perceptron, deep neural networks and convolutional neural networks algorithms. Especially, researchers use not only their own convolution networks but also proven networks in image processing to predict fault locations and fault information such as strike and dip. In this paper, by investigating and analyzing these studies, we found that the convolutional neural networks based on the U-Net from image processing is the most effective one for fault detection and interpretation. Further studies can expect better results from fault detection and interpretation using the convolutional neural networks along with transfer learning and data augmentation.

Flying Aphid Population at the Horticultural Experiment Station, Suweon (원예시험장 주변의 진딧물)

  • Paik Woon Hah;Song Ki Won;Choi Seong Sik
    • Korean journal of applied entomology
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    • v.13 no.1 s.18
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    • pp.25-31
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    • 1974
  • This survey was aimed to accumulate basic data of aphid population at the Horticultural Experiment Station at Suweon. The yellow pan traps were setted at five locations (Fig.1.), and ran from May 1 to October 31. 1970. About one hundred and twenty species of aphids were trapped, including 24 species of plant vims vectors. Of these, dominant species were as follows: (Asterisk shows virus vector) Aphid species No. of catches * Aphis spiraecola PATCH 2,635, * Aphis craccivora KOCH 2,377, * Myzus persicae SULXER 2,111, Capitophorus hippophaes javanicus H.R. LAMBERS 2,051, Anoecia fulviabdominalis SASAKI 1,480, * Aphis gossypii GLOVER 867, * Macrosiphum avenae FABRICIUS 859, Cervaphis quercus TAKAHASHI 692, * Lipaphis erysimi KALTENBACH 645, Pleotrichophorus chrysanthemi THEOBALD 489, The above 10 species consisted $76.5\%$ of total catches and the 24 vector species consisted $55.5\%$. The curve of the seasonal occurrence of flying aphids at Horticultural Experiment Station shows bimodal, typical for the temperate region. The total number of trapped aphids at the Station from May to September, 1970, were less than that of average yearly catches at the College of Agriculture from 1967 to 1970. Thi, low numbers at Horticultural Experiment Station may attribute to the frequent spraying of insecticides from Spring to Summer on growing crops there. But the aphids population increase suddenly in the middle of October. This might be resulted from cease of insecticide applications and migration of aphids from summer host to winter host plants.

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RNAi-induced K-Ras Gene Silencing Suppresses Growth of EC9706 Cells and Enhances Chemotherapy Sensitivity of Esophageal Cancer

  • Wang, Xin-Jie;Zheng, Yu-Ling;Fan, Qing-Xia;Zhang, Xu-Dong
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.12
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    • pp.6517-6521
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    • 2012
  • To analyze the growth, proliferation, apoptosis, invasiveness and chemotherapy sensitivity of EC9706 cells after K-Ras gene silencing, an expression carrier pSilencer-siK-Ras was constructed, and the EC9706 cell line was transfected using a liposome technique. Six groups were established: Control, siRNA NC (transfected with empty vector pSilencer2.1); Ras siRNA (transfected with pSilencer-siK-Ras2); Paclitaxel; Paclitaxel + siRNA NC; and Ras siRNA + Paclitaxel. After the treatment, RT-PCR, Western blotting, MTT assay, flow cytometry and the Transwell technique were used to assess expression of K-Ras mRNA and protein in EC9706 cells, as well as cell growth, proliferation, apoptosis and invasiveness. The effect of Paclitaxel chemotherapy was also tested. pSilencer-siK-Ras2 effectively down-regulated expression of K-Ras mRNA and protein in EC9706 cells, growth being significantly inhibited. Flow cytometry indicated obvious apoptosis of cells in the experimental group, with arrest in the G1 phase; cell migration ability was also reduced. After pSilencer-siK-Ras2 transfection or the addition of Paclitaxel, EC9706 cells were suppressed to different extents; the suppressive effect was strengthened by combined treatment. The results suggested that RNAi-induced K-Ras gene silencing could enhance chemotherapy sensitivity of esophageal cancer.

Lentivirus-mediated shRNA Interference Targeting SLUG Inhibits Lung Cancer Growth and Metastasis

  • Wang, Yao-Peng;Wang, Ming-Zhao;Luo, Yi-Ren;Shen, Yi;Wei, Zhao-Xia
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.10
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    • pp.4947-4951
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    • 2012
  • Objective: Lung cancer is a deadly cancer, whose kills more people worldwide than any other malignancy. SLUG (SNAI2, Snail2) is involved in the epithelial mesenchymal transition in physiological and in pathological contexts and is implicated in the development and progression of lung cancer. Methods: We constructed a lentivirus vector with SLUG shRNA (LV-shSLUG). LV-shSLUG and a control lentivirus were infected into the non-small cell lung cancer cell A549 and real-time PCR, Western blot and IHC were applied to assess expression of the SLUG gene. Cell proliferation and migration were detected using MTT and clony formation methods. Results: Real-time PCR, Western Blot and IHC results confirmed down-regulation of SLUG expression by its shRNA by about 80%~90% at both the mRNA and protein levels. Knockdown of SLUG significantly suppressed lung cancer cell proliferation. Furthermore, knockdown of SLUG significantly inhibited lung cancer cell invasion and metastasis. Finally, knockdown of SLUG induced the down-regulation of Bcl-2 and up-regulation of E-cadherin. Conclusion: These results indicate that SLUG is a newly identified gene associated with lung cancer growth and metastasis. SLUG may serve as a new therapeutic target for the treatment of lung cancer in the future.

Targeting Orthotopic Glioma in Mice with Genetically Engineered Salmonella typhimurium

  • Wen, Min;Jung, Shin;Moon, Kyung-Sub;Jiang, Shen Nan;Li, Song-Yuan;Min, Jung-Joon
    • Journal of Korean Neurosurgical Society
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    • v.55 no.3
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    • pp.131-135
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    • 2014
  • Objective : With the growing interests of bacteria as a targeting vector for cancer treatment, diverse genetically engineered Salmonella has been reported to be capable of targeting primary or metastatic tumor regions after intravenous injection into mouse tumor models. The purpose of this study was to investigate the capability of the genetically engineered Salmonella typhimurium (S. typhimurium) to access the glioma xenograft, which was monitored in mouse brain tumor models using optical bioluminescence imaging technique. Methods : U87 malignant glioma cells (U87-MG) stably transfected with firefly luciferase (Fluc) were implanted into BALB/cAnN nude mice by stereotactic injection into the striatum. After tumor formation, attenuated S. typhimurium expressing bacterial luciferase (Lux) was injected into the tail vein. Bioluminescence signals from transfected cells or bacteria were monitored using a cooled charge-coupled device camera to identify the tumor location or to trace the bacterial migration. Immunofluorescence staining was also performed in frozen sections of mouse glioma xenograft. Results : The injected S. typhimurium exclusively localized in the glioma xenograft region of U87-MG-bearing mouse. Immunofluorescence staining also demonstrated the accumulation of S. typhimurium in the brain tumors. Conclusion : The present study demonstrated that S. typhimurium can target glioma xenograft, and may provide a potentially therapeutic probe for glioma.