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| 1 | Detection and identification of Vibrio parahaemolyticus by multiplex PCR and DNA-DNA hybridization on a microarray显示文摘In this paper,we developed a rapid and accurate method for the detection of Vibrio parahaemalyticus strains,using multiplex PCR and DNA—DNA hybridization.Multiplex PCR was used to simultaneously amplify three diagnostic genes(tlh,tdh and fla) that serve as molecular markers of V.parahaemolyticus.Biotinylated PCR products were hybridized to primers immobilized on a microarray,and detected by chemiluminesce with avidin—conjugated alkaline phosphatase.With this method,forty-five samples were tested.Eight known virulent strains (tlh^+/tdh^+/fla^+) and four known avirulent strains(tlh^+/tdh^-/fla^+) of the V.parahaemolyticus were successfully detected,and no non-specific hybridization and cross-hybridization reaction were found from fifteen closely-related strains(tlh^-/tdh^-/fla^+) of the Vibrio spp.In addition,all the other eighteen strains of non-Vibrio bacteria(tlh^-/tdh^-/fla^-) gave negative results.The DNA microarray successfully distinguished V. parahaemolyticus from other Vibrio spp.The results demonstrated that this was an efficient and robust method for identifying virulent strains of V.parahaemolyticus. | Rongzhi Wang Jiadong Huang Wei Zhang Guangmei Lin Junwei Lian Libin Jiang Hongcong Lin Songfa Wang Shihua Wang | 2011 | Journal of Genetics and Genomics2011，38，3： | 11 |
| 2 | Visualization of the Oncolytic Alphavirus M1 Life Cycle in Cancer Cells显示文摘Oncolytic alphavirus M1 has been shown to selectively target and kill cancer cells,but cytopathic morphologies induced by M1 virus and the life cycle of the M1 strain in cancer cells remain unclear.Here,we study the key stages of M1 virus infection and replication in the M1 virus-sensitive HepG2 liver cancer cell line by transmission electron microscopy,specifically examining viral entry,assembly,maturation and release.We found that M1 virus induces vacuolization of cancer cells during infection and ultimately nuclear marginalization,a typical indicator of apoptosis.Specifically,our results suggest that the endoplasmic reticulum participates in the assembly of nucleocapsids.In the early and late stage of infection,three kinds of special cytopathic vacuoles are formed and appear to be involved in the replication,maturation and release of the virus.Taken together,our data displayed the process of M1 virus infection of tumor cells and provide the structural basis for the study of M1 virus-host interactions. | Jia Dan Lin Nie Xudong Jia Cuiying Xu Jing Cai Yuan Lin Jun Hu Wenbo Zhu Yinyin Li Dong Chen Ying Liu Cheng Hu Guangmei Yan Jiankai Liang Qinfen Zhang | 2021 | Virologica Sinica2021，36，4： | 0 |
| 3 | Correction to:Visualization of the Oncolytic Alphavirus M1 Life Cycle in Cancer Cells显示文摘Correction to:Virologica Sinica(2021)http://gffzzd3cc09b8251d45dfswoo60x059qqc6fk9.ffgz.tsg.suse.edu.cn/10.1007/s12250-020-00339-7 In the original version of Fig.6,published on January 22,2021,the names of image panels(row 2 to row 5)were mislabeled during figure layout.The corrected figure is shown below.The original article has been corrected. | Jia Dan Lin Nie Xudong Jia Cuiying Xu Jing Cai Yuan Lin Jun Hu Wenbo Zhu Yinyin Li Dong Chen Ying Liu Cheng Hu Guangmei Yan Jiankai Liang Qinfen Zhang | 2021 | Virologica Sinica2021，36，4： | 0 |
| 4 | Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors显示文摘Over the last decade,oncolytic virus(OV)therapy has shown its promising potential in tumor treatment.The fact that not every patient can benefit from it highlights the importance for defining biomarkers that help predict patients’responses.As particular self-amplifying biotherapeutics,the anti-tumor effects of OVs are highly dependent on the host factors for viral infection and replication.By using weighted gene co-expression network analysis(WGCNA),we found matrix remodeling associated 8(MXRA8)is positively correlated with the oncolysis induced by oncolytic virus M1(OVM). | Deli Song Xudong Jia Xincheng Liu Linyi Hu Kaiying Lin Tong Xiao Yangyang Qiao Jiayu Zhang Jia Dan Chunwa Wong Cheng Hu Ke Sai Shoufang Gong Max Sander Runling Shen Xiaoyu Chen Xiaoting Xiao Jiehong Chen Yanming Zhang Cailv Wei Xiao Xiao Jiankai Liang Qinfen Zhang Jun Hu Wenbo Zhu Guangmei Yan Yuan Lin Jing Cai | 2022 | Signal Transduction and Targeted Therapy2022，7，5： | 0 |
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