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( Xing Yu Li ),( Zi Chao Mao ),( Yue Hu Wang ),( Yi Xing Wu ),( Yue Qiu He ),( Chun Lin Long ) 한국미생물 · 생명공학회 2013 Journal of microbiology and biotechnology Vol.23 No.3
Bacillus subtilis XF-1, a strain with demonstrated ability to control clubroot disease caused by Plasmodiophora brassicae, was studied to elucidate its mechanism of antifungal activity against P. brassicae. Fengycin-type cyclopeptides (FTCPs), a well-known class of compounds with strong fungitoxic activity, were purified by acid precipitation, methanol extraction, and chromatographic separation. Eight homologs of fengycin, seven homologs of dehydroxyfengycin, and six unknown FTCPs were characterized with LC/ESI-MS, LC/ESI-MS/MS, and NMR. FTCPs (250μg/ml) were used to treat the resting spores of P. brassicae (107/ml) by detecting leakage of the cytoplasm components and cell destruction. After 12 h treatment, the absorbencies at 260 nm (A260) and at 280 nm (A280) increased gradually to approaching the maximum of absorbance, accompanying the collapse of P. brassicae resting spores, and nearly no complete cells were observed at 24 h treatment. The results suggested that the cells could be cleaved by the FTCPs of B. subtilis XF-1, and the diversity of FTCPs was mainly attributed to a mechanism of clubroot disease biocontrol.
Xiao-Li Wang,Xing Fan,Jian Zeng,Li-Na Sha,Hai-Qin Zhang,Hou-Yang Kang,Rui-Wu Yang,Li Zhang,Chun-Bang Ding,Yong-Hong Zhou 한국유전학회 2012 Genes & Genomics Vol.34 No.3
To estimate the phylogeny and molecular evolution of a single-copy nuclear disrupted meiotic cDNA (DMC1) gene within the StH genome species, two DMC1 homoeologous sequences were isolated from nearly all the sampled StH genome species and were analyzed with those from seven diploid taxa representing the St and H genomes in Triticeae. Sequence diversity patterns and genealogical analysis suggested that (1) there is a close relationship among North American StH genome species;(2) the DMC1 gene sequences of the StH genome species from North America and Eurasia are evolutionarily distinct;(3) the StH genome polyploids have higher levels of sequence diversity in the St genome homoeolog than the H genome homoeolog;(4) the DMC1 sequence may evolve faster in the polyploid species than in the diploids; (5) high dN and dN/dS values in the St genome within polyploid species could be caused by low selective constraints or AT-biased mutation pressure. Our result provides some insight on evolutionary dynamics of duplicate DMC1 gene, the polyploidization events and phylogeny of the StH genome species.
Two New Phenolic Compounds from the Fruiting Bodies of Ganoderma tropicum
Hu, Li-Li,Ma, Qing-Yun,Huang, Sheng-Zhuo,Guo, Zhi-Kai,Guo, Jian-Chun,Dai, Hao-Fu,Zhao, You-Xing Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.3
Chemical investigation of the fruiting bodies of Ganoderma tropicum led to the isolation of two new phenolic compounds, ganodermatropins A (1) and B (2). Their structures were elucidated by spectroscopic techniques (MS, 1D and 2D NMR). Ganodermatropin A exhibited antimicrobial activity against Staphylococcus aureus.
Xing, Yue-Li,Wang, Yan-Chun Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.18
Objective: To explore the influence of different ways of blood transfusion on the expression levels of interleukins (IL) and tumor necrosis factor-${\alpha}$ (TNF-${\alpha}$) inperi-operative patients with esophageal cancer. Materials and Methods: A total of 80 patients with esophageal cancer who underwent radical operations were selected as study patients and randomly divided into an observation group (treated with autologous blood transfusion) and control group (with homologous blood transfusion). Changes of intra-operative indexes and peri-operative blood indexes, from hemoglobin (Hb) and hematocrit value (Hct), to levels of inflammatory factors like interleukins-6 (IL-6), IL-8, IL-10 and tumor necrosis factor-${\alpha}$ (TNF-${\alpha}$) were compared. Results: Operations for patients in both groups were successfully conducted, and no significant differences in mean surgical duration and intra-operative hemorrhage volume, fluid infusion volume and blood transfusion volume were detected (p>0.05). Compared with values before surgery, Hb and Hct levels decreased significantly while white blood cell count (WBC) increased 1, 5 and 7 d after operation (p<0.05, p<0.01). In addition, WBC was apparently higher in observation group than in control group 5 and 7 d after operation (p<0.01). Compared with before surgery, in the observation group, levels of IL-6, IL-8 and IL-10 had no significant differences after operation (P>0.05), but TNF-${\alpha}$ level increased y (p<0.01), whereas in control group, IL-6 level had no significant difference (p>0.05), IL-8 level decreased obviously (p<0.05), IL-10 level increased markedly first and then decreased gradually as time passed but its level remained elevated (p<0.01), and TNF-${\alpha}$ level increased first and then decreased, and there was no significant difference 7 d after operation (p>0.05). Conclusions: Decreased IL-8 and increased IL-10 levels are two important reasons for immunosuppression after homologous blood transfusion, whereas autologous blood transfusion can alleviate this while increasing the TNF-${\alpha}$ level, which also has potential to improve anti-tumor immunity in the human body.
Markov Prediction based on Semi-supervised Kernel Fuzzy Clustering
Li Yi-ran,Zhang Chun-na,Guo Sheng-xing 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.2
This paper proposes an improved Markov prediction, according to the temperature control problem of hot blast stove alternate supply air in the operation of blast furnace operation, namely, implement clustering for waiting to be processed data, used kernel fuzzy c-means clustering based on the pairwise constraints. The supply air temperature of hot blast stove is seen as without aftereffect things in this method, introduce semi-supervised learning mechanism in traditional fuzzy clustering to deal with the basic data, and using the kernel effectiveness index improved the FCM algorithm. Experiments show that the improved clustering algorithm is superior to other algorithms in accuracy and performance, at the same time, the improved prediction model comparison with the traditional values of temperature prediction, which has obvious advantages in defined temperature range and the fit of the temperature value, the guiding significance was significantly enhanced in industrial field.
Li, Jie,Yang, Chun-Xu,Mei, Zi-Jie,Chen, Jing,Zhang, Shi-Min,Sun, Shao-Xing,Zhou, Fu-Xiang,Zhou, Yun-Feng,Xie, Cong-Hua Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.10
Cancer patients often suffer from local tumor recurrence after radiation therapy. Cell cycling, an intricate sequence of events which guarantees high genomic fidelity, has been suggested to affect DNA damage responses and eventual radioresistant characteristics of cancer cells. Here, we established a radioresistant lung cancer cell line, A549R, by exposing the parental A549 cells to repeated ${\gamma}$-ray irradiation with a total dose of 60 Gy. The radiosensitivity of A549 and A549R was confirmed using colony formation assays. We then focused on examination of the cell cycle distribution between A549 and A549R and found that the proportion of cells in the radioresistant S phase increased, whereas that in the radiosensitive G1 phase decreased. When A549 and A549R cells were exposed to 4 Gy irradiation the total differences in cell cycle redistribution suggested that G2-M cell cycle arrest plays a predominant role in mediating radioresistance. In order to further explore the possible mechanisms behind the cell cycle related radioresistance, we examined the expression of Cdc25 proteins which orchestrate cell cycle transitions. The results showed that expression of Cdc25c increased accompanied by the decrease of Cdc25a and we proposed that the quantity of Cdc25c, rather than activated Cdc25c or Cdc25a, determines the radioresistance of cells.
Shen, Xing-Rong,Chai, Jing,Feng, Rui,Liu, Tong-Zhu,Tong, Gui-Xian,Cheng, Jing,Li, Kai-Chun,Xie, Shao-Yu,Shi, Yong,Wang, De-Bin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24
The big gap between efficacy of population level prevention and expectations due to heterogeneity and complexity of cancer etiologic factors calls for selective yet personalized interventions based on effective risk assessment. This paper documents our research protocol aimed at refining and validating a two-stage and web-based cancer risk assessment tool, from a tentative one in use by an ongoing project, capable of identifying individuals at elevated risk for one or more types of the 80% leading cancers in rural China with adequate sensitivity and specificity and featuring low cost, easy application and cultural and technical sensitivity for farmers and village doctors. The protocol adopted a modified population-based case control design using 72, 000 non-patients as controls, 2, 200 cancer patients as cases, and another 600 patients as cases for external validation. Factors taken into account comprised 8 domains including diet and nutrition, risk behaviors, family history, precancerous diseases, related medical procedures, exposure to environment hazards, mood and feelings, physical activities and anthropologic and biologic factors. Modeling stresses explored various methodologies like empirical analysis, logistic regression, neuro-network analysis, decision theory and both internal and external validation using concordance statistics, predictive values, etc..
CUBIC B-SPLINE FINITE ELEMENT METHOD FOR THE ROSENAU-BURGERS EQUATION
Ge-Xing Xu,Chun-Hua Li,GUANG-RI PIAO 영남수학회 2017 East Asian mathematical journal Vol.33 No.1
Numerical solutions of the Rosenau-Burgers equation based on the cubic B-spline finite element method are introduced. The back- ward Euler method is used for discretization in time, and the obtained nonlinear algebraic system is changed to a linear system by the Newton’s method. We show that those methods are unconditionally stable. Two test problems are studied to demonstrate the accuracy of the proposed method. The computational results indicate that numerical solutions are in good agreement with exact solutions.