Background Genetic modification of dendritic cells （DCs） has been used as an effective approach to enhance anti-tumor immunity. RNA interference （RNAi）, which can cause the degradation of any RNA in a sequence-spe...Background Genetic modification of dendritic cells （DCs） has been used as an effective approach to enhance anti-tumor immunity. RNA interference （RNAi）, which can cause the degradation of any RNA in a sequence-specific manner, is a post-transcriptional gene silencing mechanism. In this study, small-interfering RNA （siRNA） specific for the li gene was transfected into DCs, and the anti-tumor immunity of li-silenced DCs was assessed. Methods The silencing effect of siRNA was evaluated by Western blotting and real-time PCR analyses. In vitro cytotoxic activity of T cells was evaluated using a Cytotox 96 non-radioactive cytotoxicity assay kit. The time to tumor onset and the tumor volumes were used as reliable indices to assess the anti-tumor immunity in vivo. To further examine the mechanisms underlying the anti-tumor immunity, flow cytometry analysis was used. Results The li expression of DCs was significantly reduced after li siRNA transfection. Significant in vitro anti-tumor ability was exhibited when DCs were co-transfected with li siRNA plus endogenous tumor antigen （P 〈0.05）. Furthermore tumor growth was greatly inhibited when mice were immunized with DCs transfected with li siRNA plus tumor antigen prior to or subsequent to tumor implantation. Flow cytometry analysis in vitro and in vivo indicated that both CD4^= and CD8^＋ T cells were significantly activated in the li siRNA group （P 〈0.05）. Conclusion Silencing of the li gene of DCs may offer a potential approach to enhance DC-based anti-tumor immunity.展开更多
In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the...In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the test image is defective or not, and the binary representation of the defective images is obtained, according to the global coefficient feature. Owing to the requirements for the efficiency and detecting quality, the block proximal gradient operator is introduced to speed up the online dictionary learning. Considering the correlation among the testing samples, prior knowledge is applied in the orthogonal-matching-pursuit sparse representation algorithm to improve the speed of sparse coding. Experimental results demonstrate that the proposed detection method can effectively detect and extract the defects of the surface images, and has broad applicability.展开更多
基金This research was supported by grants from the National Natural Science Foundation of China （No. 30570828 and No. 30471961）.Acknowledgements： The authors deeply appreciate technical assistance from Q. Li and D. Q. Zhang valuble discussion with R. F Ge and help from the experimental Animal Facility technicians for animal care. We thank the International Science Editing for help in editing our manuscript.
文摘Background Genetic modification of dendritic cells （DCs） has been used as an effective approach to enhance anti-tumor immunity. RNA interference （RNAi）, which can cause the degradation of any RNA in a sequence-specific manner, is a post-transcriptional gene silencing mechanism. In this study, small-interfering RNA （siRNA） specific for the li gene was transfected into DCs, and the anti-tumor immunity of li-silenced DCs was assessed. Methods The silencing effect of siRNA was evaluated by Western blotting and real-time PCR analyses. In vitro cytotoxic activity of T cells was evaluated using a Cytotox 96 non-radioactive cytotoxicity assay kit. The time to tumor onset and the tumor volumes were used as reliable indices to assess the anti-tumor immunity in vivo. To further examine the mechanisms underlying the anti-tumor immunity, flow cytometry analysis was used. Results The li expression of DCs was significantly reduced after li siRNA transfection. Significant in vitro anti-tumor ability was exhibited when DCs were co-transfected with li siRNA plus endogenous tumor antigen （P 〈0.05）. Furthermore tumor growth was greatly inhibited when mice were immunized with DCs transfected with li siRNA plus tumor antigen prior to or subsequent to tumor implantation. Flow cytometry analysis in vitro and in vivo indicated that both CD4^= and CD8^＋ T cells were significantly activated in the li siRNA group （P 〈0.05）. Conclusion Silencing of the li gene of DCs may offer a potential approach to enhance DC-based anti-tumor immunity.
基金supported by the Zhejiang Provincial Natural Science Foundation of China(No.LZ14F030001)
文摘In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the test image is defective or not, and the binary representation of the defective images is obtained, according to the global coefficient feature. Owing to the requirements for the efficiency and detecting quality, the block proximal gradient operator is introduced to speed up the online dictionary learning. Considering the correlation among the testing samples, prior knowledge is applied in the orthogonal-matching-pursuit sparse representation algorithm to improve the speed of sparse coding. Experimental results demonstrate that the proposed detection method can effectively detect and extract the defects of the surface images, and has broad applicability.
