OBJECTIVE: To evaluate the killing effects of the cytosine deaminase (CD) gene mediated by adenovirus vector on human pancreatic cancer cell lines in vitro. METHODS: The CD gene was cloned into pAdTrack-CMV-CD, and pA...OBJECTIVE: To evaluate the killing effects of the cytosine deaminase (CD) gene mediated by adenovirus vector on human pancreatic cancer cell lines in vitro. METHODS: The CD gene was cloned into pAdTrack-CMV-CD, and pAdTrack-CMV-CD and pAdEasy-l were recombinated in bacteria. The newly recombinated Ad-CD containing green fluoreseent protein (GFP) was propagated in 293 cells and purified by cesium chloride gradient centrifugation. Human pancreatic cancer cell lines Patu8988 and SW1990 were infected with this virus, then 5-FC was added. XTT assay was used to estimate relative numbers of viable cells. RESULTS: The positive clones were selected by using endonuclease to digest the combinatants and the concentration of viral liquids containing the CD gene was 2×1O^(11) pfu/ml. It was found that significant cytotoxic activities were possesscd by 5-FC for the CD gene transduced pancreatic cell lines, but little effects exerted on the nontransduced pancreatic carcinoma cells. CONCLUSIONS: The CD gene mediated by adenovirus with a high infectivity is efficient for gene therapy of pancreatic carcinoma cell lines. These data demonstrate the therapeutic efficacy of an enzyme prodrug strategy in experimental pancreatic cancer.展开更多
针对目标图像利用导向滤波算法进行图像抠图时参数需要根据不同图像进行人为设定的问题,提出了一种利用隐藏的支持向量机LSVM(latent support vector machine)自动设定参数的潜在半径优化的数字图像抠图算法.该方法首先是应用LSVM潜在...针对目标图像利用导向滤波算法进行图像抠图时参数需要根据不同图像进行人为设定的问题,提出了一种利用隐藏的支持向量机LSVM(latent support vector machine)自动设定参数的潜在半径优化的数字图像抠图算法.该方法首先是应用LSVM潜在性的思想,利用已知数据库模板训练输入目标图像的样本集,再利用样本集将导向图像和二值图像以不同半径进行分块并进行判定,确定半径值,从而能够自动产生合理参数.最后利用导向滤波器对图像进行抠图,从而优化抠图算法,最终实现抠图算法的智能化和灵活化.展开更多
基金This work was supported by a grant from Shanghai Science Foundation (No. 994119044).
文摘OBJECTIVE: To evaluate the killing effects of the cytosine deaminase (CD) gene mediated by adenovirus vector on human pancreatic cancer cell lines in vitro. METHODS: The CD gene was cloned into pAdTrack-CMV-CD, and pAdTrack-CMV-CD and pAdEasy-l were recombinated in bacteria. The newly recombinated Ad-CD containing green fluoreseent protein (GFP) was propagated in 293 cells and purified by cesium chloride gradient centrifugation. Human pancreatic cancer cell lines Patu8988 and SW1990 were infected with this virus, then 5-FC was added. XTT assay was used to estimate relative numbers of viable cells. RESULTS: The positive clones were selected by using endonuclease to digest the combinatants and the concentration of viral liquids containing the CD gene was 2×1O^(11) pfu/ml. It was found that significant cytotoxic activities were possesscd by 5-FC for the CD gene transduced pancreatic cell lines, but little effects exerted on the nontransduced pancreatic carcinoma cells. CONCLUSIONS: The CD gene mediated by adenovirus with a high infectivity is efficient for gene therapy of pancreatic carcinoma cell lines. These data demonstrate the therapeutic efficacy of an enzyme prodrug strategy in experimental pancreatic cancer.
文摘针对目标图像利用导向滤波算法进行图像抠图时参数需要根据不同图像进行人为设定的问题,提出了一种利用隐藏的支持向量机LSVM(latent support vector machine)自动设定参数的潜在半径优化的数字图像抠图算法.该方法首先是应用LSVM潜在性的思想,利用已知数据库模板训练输入目标图像的样本集,再利用样本集将导向图像和二值图像以不同半径进行分块并进行判定,确定半径值,从而能够自动产生合理参数.最后利用导向滤波器对图像进行抠图,从而优化抠图算法,最终实现抠图算法的智能化和灵活化.
