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| 1 | Plant abiotic stress response and nutrient use efficiency显示文摘Abiotic stresses and soil nutrient limitations are major environmental conditions that reduce plant growth,productivity and quality.Plants have evolved mechanisms to perceive these environmental challenges,transmit the stress signals within cells as well as between cells and tissues,and make appropriate adjustments in their growth and development in order to survive and reproduce.In recent years,significant progress has been made on many fronts of the stress signaling research,particularly in understanding the downstream signaling events that culminate at the activation of stress-and nutrient limitation-responsive genes,cellular ion homeostasis,and growth adjustment.However,the revelation of the early events of stress signaling,particularly the identification of primary stress sensors,still lags behind.In this review,we summarize recent work on the genetic and molecular mechanisms of plant abiotic stress and nutrient limitation sensing and signaling and discuss new directions for future studies. | Zhizhong Gong Liming Xiong Huazhong Shi Shuhua Yang Luis R.Herrera-Estrella Guohua Xu Dai-Yin Chao Jingrui Li Peng-Yun Wang Feng Qin Jigang Li Yanglin Ding Yiting Shi Yu Wang Yongqing Yang Yan Guo Jian-Kang Zhu | 2020 | Science China(Life Sciences)2020，63，5： | 94 |
| 2 | Downsampling sparse representation and discriminant information aided occluded face recognition显示文摘In this paper,a strategy is proposed to deal with a challenging research topic,occluded face recognition.Our approach relies on sparse representation on downsampled input image to first locate unoccluded face parts,and then exploits the linear discriminant ability of those pixels to identify the input subject.The advantages and novelties of our method include,1)since the sparse representation based occlusion detection is conducted on dowsampled image,our algorithm is much faster than classic SRC;2)the discriminant information learned from training samples is combined with sparse representation to recognize occluded face for the first time.The verification experiments are conducted on both simulated block occlusion images and genuine occluded images. | LI YueLong MENG Li FENG JuFu WU JiGang | 2014 | Science China(Information Sciences)2014，57，3： | 5 |
| 3 | Seroincidence of recent human immunodefi ciencyvirus type 1 infections in China 显示文摘 | Xiao Yao Jiang Yah Feng Jigang | 2007 | Clin Vaccine Immunol2007，14，10： | 1 |
| 4 | Studying of classification Chinese SMS message based on Bayesian classification 显示文摘 | Li Feng Li Jigang | 2012 | Journal of Theo- retical and Applied Information Technology2012，44，1： | 1 |
| 5 | HEST: A Hybrid-Language-Based Expert System Tool显示文摘HEST:AHybrid-Language-BasedExpertSystemTool￥HuangHoukuan;HaoJigang;WangZhaoqi&GaoFeng(Dept.ofComputerSet.,NorthernJiaotongUni... | Huang Houkuan Hao Jigang Wang Zhaoqi & Gao Feng( Dept. of Computer Set., Northern Jiaotong University, Beijing 100044, China)( Dept. of Computer Set., Tsinghua University, Beijing 100084, China)( Computer Center, Research Institute No.701, Shanghai 201 | 1995 | Journal of Systems Engineering and Electronics1995，6，3： | 1 |
| 6 | Development of JG785E High Strength High Toughness Steel Plates显示文摘A high strength structure steel plate --brand JG785E, which with more than 690MPa yield strength ,more than 47 joules toughness at minus 40℃ has been developed by Jigang of Shandong Steel Group P. R. China. The steel plates can be easily welded in engineering structure due to its lower carbon equivalent value. The maximum thickness of heavy plate is 50.88mm (2 inch), the yield strength is 710-860MPa, the toughness of steel plate is 139~336J at the temperature of - 40℃ . The microstructure of steel plate is lower carbon Bainite. The main solid dissolve elements are silicon and manganese. All parameters of reheating, rolling and accelerating cooling are controlled strictly. This TMCP procedure can ensure to get better mechanical properties of steel plates, and to keep the market competitive power and lower cost of manufacture. The cleanness of steel is high by refined in ladle furnace (LF), the contents of P and S is lower. It is the low carbon Bainite microstructure that possesses the high strength, excellent lower temperature toughness and better weld-ability without preheat process. The JG785E is typical brand of the Jigang’s high strength steel brands as the S690QL conforms to EN10025-6 and as the ASTM A514M conforms to USA quenching and tempering steel specification. | FENG Yong (Structure Steel Dept of Technology Center of Jigang, Shandong Steel Group, China) | 2011 | Journal of Iron and Steel Research(International)2011，18，S1： | 0 |
| 7 | Attenuated plasmodium sporozoite expressing MAGE-A3 induces antigen-specific CD8+ T cell response against lung cancer in mice显示文摘Objective: Cancer vaccines that rely on tumor antigen-specific CD8^+ T cell responses, are promising anti-cancer adjuvant immunotherapies. This study investigated whether genetically attenuated Plasmodium sporozoite(GAS) could be used as a novel vector to induce antigen-specific CD8^+ T cell responses against lung cancer.Methods: We constructed GAS/MAGE-A3, a recombinant GAS engineered to express the lung cancer-specific antigen, melanomaassociated antigen 3(MAGE-A3), and assessed its therapeutic effects against lung cancer.Results: Robust parasite-specific CD8αlow CD11ahigh and CD49dhigh CD11ahigh CD4^+ T cell responses as well as a MAGE-A3-specific CD8^+ T cell response were induced in GAS/MAGE-A3-immunized mice. Adoptive transfer of GAS/MAGE-A3-induced CD8^+ T cells from HLA-A2 transgenic mice into lung cancer-bearing nude mice inhibited tumor growth and prolonged survival.Conclusions: These findings demonstrate that GAS/MAGE-A3 induces a strong MAGE-A3-specific CD8^+ T cell response against lung cancer in vivo, and indicate that GAS is a novel and efficacious antigen delivery vector for antitumor immunotherapy. | Dong Zhou Hong Zheng Quanxing Liu Xiao Lu Xufeng Deng Li Jiang Bing Hou Yong Fu Feng Zhu Yan Ding Wenyue Xu Jigang Dai | 2019 | Cancer Biology & Medicine2019，16，2： | 0 |
| 8 | Single-cell transcriptome analysis uncovers underlying mechanisms of acute liver injury induced by tripterygium glycosides tablet in mice显示文摘Tripterygium glycosides tablet(TGT),the classical commercial drug of Tripterygium wilfordii Hook.F.has been effectively used in the treatment of rheumatoid arthritis,nephrotic syndrome,leprosy,Behcet's syndrome,leprosy reaction and autoimmune hepatitis.However,due to its narrow and limited treatment window,TGT-induced organ toxicity(among which liver injury accounts for about 40%of clinical reports)has gained increasing attention.The present study aimed to clarify the cellular and molecular events underlying TGT-induced acute liver injury using single-cell RNA sequencing(scRNA-seq)technology.The TGT-induced acute liver injury mouse model was constructed through short-term TGT exposure and further verified by hematoxylin-eosin staining and liver function-related serum indicators,including alanine aminotransferase,aspartate aminotransferase,alkaline phosphatase and total bilirubin.Using the mouse model,we identified 15 specific subtypes of cells in the liver tissue,including endothelial cells,hepatocytes,cholangiocytes,and hepatic stellate cells.Further analysis indicated that TGT caused a significant inflammatory response in liver endothelial cells at different spatial locations;led to marked inflammatory response,apoptosis and fatty acid metabolism dysfunction in hepatocytes;activated hepatic stellate cells;brought about the activation,inflammation,and phagocytosis of liver capsular macrophages cells;resulted in immune dysfunction of liver lymphocytes;disturbed the intercellular crosstalk in liver microenvironment by regulating various signaling pathways.Thus,these findings elaborate the mechanism underlying TGT-induced acute liver injury,provide new insights into the safe and rational applications in the clinic,and complement the identification of new biomarkers and therapeutic targets for liver protection. | Qiuyan Guo Jiangpeng Wu Qixin Wang Yuwen Huang Lin Chen Jie Gong Maobo Du Guangqing Cheng Tianming Lu Minghong Zhao Yuan Zhao Chong Qiu Fei Xia Junzhe Zhang Jiayun Chen Feng Qiu Jigang Wang | 2023 | Journal of Pharmaceutical Analysis2023，13，8： | 0 |
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