잿빛곰팡이병 추출물을 이용한 순무배양세포의 Indole-3-ylmethyl glucosinolate의 생합성유도와 병원성연구

권순태,Vivian Zhang 한국자원식물학회 2017 한국자원식물학회지 Vol.30 No.5

Two different races of Botryris cinerea were selected by the response of plant leaves to the pathogen infection. Based on lesion size of the pathogen on the leaves, turnip showed susceptible response to ‘Grape-01’ race, and resistant to ‘Orange’ race. Turnip leaves infected with resistant pathogen race, “Orange”, showed significantly higher content of indole-3-ylmethyl glucosinolate (I3M) than those infected with susceptible race, ‘Grape-01’. Contents of I3M in the leaves with resistant ‘Orange’ race was 2.5 times as high as that in uninfected leaves, whereas I3M in the leaves infected with susceptible ‘Grape-01’ race showed lower content than in untreated leaves. Growth of turnip suspension cells was significantly inhibited by the treatment of MeOH extract or water extract of ‘Orange’ race as compared with the treatment of susceptible race, ‘Grape-01’. Treatment of MeOH or water extract from ‘Orange’ race to turnip suspension cells, strongly inhibited cell viability up to 22.7% or 16.5%, respectively. However, plant cells treated with MeOH or water extract from resistant race, ‘Orange’ showed higher I3M content than that from susceptible race, ‘Grape-01’. These results suggest that accumulation and degradation of I3M glucosinolate in turnip cells closely related to the resistance and susceptibility of turnip cells to Botrytis cinerea. 8종의 잿빛곰팡이병 균주를 순무잎에 접종하여 병반의 크기를확인한 결과 가장 강한 감염력을 보인 ‘포도-01’ 균주와 병반의확산이 가장 적은 ‘오랜지’를 선발하였다. 순무잎이 저항성을 보인 ‘오랜지’균주를 처리한 잎이 감수성을 보인 ‘포도-01’균주를처리한 잎보다 indole-3-ylmethyl glucosinolate (I3M-GLS) 함량이 무처리 보다 2.5배 이상 높았으나 ‘포도-01’ 균주를 처리한 잎에서는 무처리 보다 낮은 함량을 보였다. 균주의 메탄올추출액과 물추출물을 식물배양세포에 처리한 결과 ‘오랜지’균주의 추출물이 ‘포도-01’ 균주의 추출물보다 배양세포의 생장을 더 강하게 억제 한 것으로 나타났는데 ‘오랜지’ 균주의 메타놀및 물 추출물 처리에서 배양세포의 활력은 각각 22.7% 및 16.5% 감소시키는 것으로 나타났다. 한편 ‘오랜지’균주 추출물을 처리한 배양세포에서 I3M-GLS의 생합성이 ‘포도-01’ 균주 추출물보다 현저히 높은 것으로 나타났다. 본 결과로 보아 식물체내에생합성되는 I3M-GLS 함량은 잿빛곰팡이균에 대한 식물세포의저항성과 밀접한 관계가 있는 것으로 판단된다

Biotransformation of Bioactive (-)-Mellein by a Marine Isolate of Bacterium Stappia sp.

( Zhi Le Feng ),( Viviane N. Nenkep ),( Keumja Yun ),( Dahai Zhang ),( Hong Dae Choi ),( Jung Sook Kang ),( Byeng Wha Son ) 한국미생물 · 생명공학회 2010 Journal of microbiology and biotechnology Vol.20 No.6

A Review of Asia’s IPO Research

Yao-Min Chiang,Vivian Tai,Wanqin Zhang 한국재무학회 2021 財務硏究 Vol.34 No.1

Essential Role for dlg in Synaptic Clustering of Shaker K^+ Channels In Vivo

Tejedor, Francisco J.,Bokhari, Amr,Rogero, Oscar,Gorczyca, Michael,Zhang, Jiangwen,Kim, Eunjoon,Sheng, Morgan,Budnik, Vivian 부산대학교 유전공학연구소 1997 분자생물학 연구보 Vol.13 No.-

The assemblage of specific ion channels and repectors at synaptic sites is crucial for signaling betweem pre-and postsynaptic cells. However, the mechanism by which proteins are targeted to and cluatered at synapses are poorly understood. Here we show that the producct of the Drosophila discs-large gene, DLG, is colocalized with Shaker K^+ chammels, which are clustered at glutamatergic synapses at the larval neuromuscular juction. In heterologous cells. DLG can cluster Shaker-type K^+ channels,and in the yeast two-hybrid system,the DLG PDZ1-2 domains bind directly to the DLG-Shaker interactions are required in vivo for Shaker clustering at the neuromuscular junction. Synaptic cluatering of Shaker channels is abolished not only by mutations in dlg but also by a mutation in Shaker that deletes its C-terminal DLG binding motif. Analyses of various dlg mutant alleles suggest that channel clustering and synaptic targeting functions depend on distinct DLG domains. These studies demonstrate for the first time that DLG plats an important role in sunaptic organization in vivo that correlates with its ability to bind directly to specific menbrane proteins of the synapse.

Optimization of treatment planning workflow and tumor coverage during daily adaptive magnetic resonance image guided radiation therapy (MR-IGRT) of pancreatic cancer

Olberg, Sven,Green, Olga,Cai, Bin,Yang, Deshan,Rodriguez, Vivian,Zhang, Hao,Kim, Jin Sung,Parikh, Parag J.,Mutic, Sasa,Park, Justin C. BioMed Central 2018 Radiation oncology Vol.13 No.-

<P><B>Background</B></P><P>To simplify the adaptive treatment planning workflow while achieving the optimal tumor-dose coverage in pancreatic cancer patients undergoing daily adaptive magnetic resonance image guided radiation therapy (MR-IGRT).</P><P><B>Methods</B></P><P>In daily adaptive MR-IGRT, the plan objective function constructed during simulation is used for plan re-optimization throughout the course of treatment. In this study, we have constructed the initial objective functions using two methods for 16 pancreatic cancer patients treated with the ViewRay™ MR-IGRT system: 1) the conventional method that handles the stomach, duodenum, small bowel, and large bowel as separate organs at risk (OARs) and 2) the OAR grouping method. Using OAR grouping, a combined OAR structure that encompasses the portions of these four primary OARs within 3 cm of the planning target volume (PTV) is created. OAR grouping simulation plans were optimized such that the target coverage was comparable to the clinical simulation plan constructed in the conventional manner. In both cases, the initial objective function was then applied to each successive treatment fraction and the plan was re-optimized based on the patient’s daily anatomy. OAR grouping plans were compared to conventional plans at each fraction in terms of coverage of the PTV and the optimized PTV (PTV OPT), which is the result of the subtraction of overlapping OAR volumes with an additional margin from the PTV.</P><P><B>Results</B></P><P>Plan performance was enhanced across a majority of fractions using OAR grouping. The percentage of the volume of the PTV covered by 95% of the prescribed dose (D<SUB>95</SUB>) was improved by an average of 3.87 ± 4.29% while D<SUB>95</SUB> coverage of the PTV OPT increased by 3.98 ± 4.97%. Finally, D<SUB>100</SUB> coverage of the PTV demonstrated an average increase of 6.47 ± 7.16% and a maximum improvement of 20.19%.</P><P><B>Conclusions</B></P><P>In this study, our proposed OAR grouping plans generally outperformed conventional plans, especially when the conventional simulation plan favored or disregarded an OAR through the assignment of distinct weighting parameters relative to the other critical structures. OAR grouping simplifies the MR-IGRT adaptive treatment planning workflow at simulation while demonstrating improved coverage compared to delivered pancreatic cancer treatment plans in daily adaptive radiation therapy.</P>

hVAPB, the causative gene of a heterogeneous group of motor neuron diseases in humans, is functionally interchangeable with its Drosophila homologue DVAP-33A at the neuromuscular junction

Chai, Andrea,Withers, James,Koh, Young Ho,Parry, Katherine,Bao, Hong,Zhang, Bing,Budnik, Vivian,Pennetta, Giuseppa Oxford University Press 2008 Human Molecular Genetics Vol.17 No.2

Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke

Zhou Yiran,Wu Di,Yan Su,Xie Yan,Zhang Shun,Lv Wenzhi,Qin Yuanyuan,Liu Yufei,Liu Chengxia,Lu Jun,Li Jia,Zhu Hongquan,Liu Weiyin Vivian,Liu Huan,Zhang Guiling,Zhu Wenzhen 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.8

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion: The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcome